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Manuscript Auditing →01Impact factor
Impact factor of Frontiers in Big Data (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Frontiers in Big Data published in the two previous years, divided by the number of those papers. That is the same formula as the Journal Impact Factor, applied to the open citation data of OpenAlex. The journal is listed in JCR 2024, so it also has an official Journal Impact Factor published by Clarivate, which can differ because it counts citations from Web of Science journals only.
Rank in its subject categories
- Q1Multidisciplinary Sciencesrank 19 of 155 journals
- Q1Computer Science, Information Systemsrank 39 of 274 journals
- Q1Computer Science, Interdisciplinary Applicationsrank 31 of 182 journals
Quartiles here rank journals of the same Web of Science category by 2-year citedness; they are not the official JCR quartiles.
Citations and papers per year
Open access (listed in DOAJ); article processing charge listed at about US$1,418.
02Fee waivers
APC waivers and discounts for Frontiers in Big Data
Frontiers in Big Data follows the waiver policy of its publisher, Frontiers: no country list; fee support is granted case by case on demonstrated need. No country rule: the publisher decides case by case, or has no waiver scheme.
Waivers apply to fully open access journals. If Frontiers in Big Data is a hybrid journal, you can publish without any fee through the subscription route.
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03Indexing
Indexing of Frontiers in Big Data
- eISSN
- 2624-909X
- Publisher
- Frontiers Media SA
- Country
- Switzerland
- Language
- English
- Scopus source type
- Journal
- Web of Science categories
- Computer Science, Information Systems, Computer Science, Interdisciplinary Applications, Multidisciplinary Sciences
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
04What it publishes
What Frontiers in Big Data publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
05Published papers
Papers published in Frontiers in Big Data
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- KATENA: a verifiable governance architecture for encrypted cloud storage systems20260 citations
- Quantifying energy and accuracy trade-offs of federated learning on wearable health devices20260 citations
- Bias in AI systems: integrating formal and socio-technical approaches20260 citations
- Novel approach of encrypted network traffic classification using deep convolutional neural network with Artificial Bee Colony and Genetic Algorithm20260 citations
- Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors20260 citations
- Inner layer security reinforcement for instant payment systems: a dual layer encryption-steganography evaluation in Brunei's digital payment context20260 citations
- Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization20250 citations
- Collaborative filtering based on nonnegative/binary matrix factorization20250 citations
- Inferring causal interplay between air pollution and meteorology20250 citations
- Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection20250 citations
- (KAUH-BCMD) dataset: advancing mammographic breast cancer classification with multi-fusion preprocessing and residual depth-wise network20250 citations
- On explaining recommendations with Large Language Models: a review20250 citations
- CrossDF: improving cross-domain deepfake detection with deep information decomposition20250 citations
- OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection20250 citations
- Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification20250 citations
- Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers20250 citations
- Analysis and prediction of atmospheric ozone concentrations using machine learning20250 citations
- LLM-as-a-Judge: automated evaluation of search query parsing using large language models20250 citations
- Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method20250 citations
- LLM-supported collaborative ontology design for data and knowledge management platforms20250 citations
- Research on optimization of personalized recommendation method based on RFMQ model—taking outdoor sports products in cross-border e-commerce as an …20250 citations
- When we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data20240 citations
- Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery20240 citations
- Cybermycelium: a reference architecture for domain-driven distributed big data systems20240 citations
- Reviews in recommender systems: 202220240 citations
- Data pipeline for real-time energy consumption data management and prediction20240 citations
- Equitable differential privacy20240 citations
- An encoding framework for binarized images using hyperdimensional computing20240 citations
- Ctab-gan+: Enhancing tabular data synthesis20240 citations
- Particulate matter forecast and prediction in Curitiba using machine learning20240 citations
- A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics20240 citations
- Exploring code portability solutions for HEP with a particle tracking test code20240 citations
- Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph20240 citations
- How critical is SME financial literacy and digital financial access for financial and economic development in the expanded BRICS block?20240 citations
- Knowledge-based recommender systems: overview and research directions20240 citations
- Analyzing political party positions through multi-language twitter text embeddings20240 citations
- Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study20240 citations
- A systematic literature review on the impact of AI models on the security of code generation20240 citations
- The role of big data in financial technology toward financial inclusion20240 citations
- Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification20240 citations
- Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project20240 citations
- Internet of Medical Things and computational intelligence in healthcare 4.020240 citations
- An enhanced whale optimization algorithm for task scheduling in edge computing environments20240 citations
- Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques20240 citations
- Stable tensor neural networks for efficient deep learning20240 citations
- Ensemble-based classification approach for PM2. 5 concentration forecasting using meteorological data20230 citations
- Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation20230 citations
- Sustainable energy policies from a complexity perspective20230 citations
- Review OSINT tool for social engineering20230 citations
- Comorbidity network analysis using graphical models for electronic health records20230 citations
- Anemia detection through non-invasive analysis of lip mucosa images20230 citations
- ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphs20230 citations
- Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty20230 citations
- MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed20230 citations
- Smart cities challenges, technologies and trends20230 citations
- Real-time arrhythmia detection using convolutional neural networks20230 citations
- Using machine learning to improve neutron identification in water Cherenkov detectors20230 citations
- Cybersecurity and artificial intelligence: advances, challenges, opportunities, threats20230 citations
- Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection20230 citations
- Integrating geometries of ReLU feedforward neural networks20230 citations
- Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment20230 citations
- Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications20230 citations
- Natural and artificial dynamics in graphs: Concept, progress, and future20230 citations
- LISTEN: lived experiences of Long COVID: a social media analysis of mental health and supplement use20230 citations
- Modern Hopfield Networks for graph embedding20230 citations
- Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care20230 citations
- Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks20230 citations
- The ethics of AI-assisted warfighter enhancement research and experimentation: Historical perspectives and ethical challenges20230 citations
- Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure20230 citations
- A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image20230 citations
- Natural language processing for humanitarian action: Opportunities, challenges, and the path toward humanitarian NLP20230 citations
- A 3D mixed reality visualization of network topology and activity results in better dyadic cyber team communication and cyber situational awareness20230 citations
- Identifying and addressing data asymmetries so as to enable (better) science20230 citations
- A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa20230 citations
- Sliding window based rare partial periodic pattern mining algorithms over temporal data streams20230 citations
- Comprehensive review for healthcare data quality challenges in blockchain technology20230 citations
- A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data …20230 citations
- Fair classification via domain adaptation: A dual adversarial learning approach20230 citations
- Data-driven classification and explainable-AI in the field of lung imaging20230 citations
- Dynamic transfer learning with progressive meta-task scheduler20230 citations
- The effects of long COVID-19, its severity, and the need for immediate attention: analysis of clinical trials and Twitter data20230 citations
- Graph learning for particle accelerator operations20230 citations
- Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization20230 citations
- A solution and practice for combining multi-source heterogeneous data to construct enterprise knowledge graph20230 citations
- AI-based radiodiagnosis using chest X-rays: A review20230 citations
- Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis20230 citations
- Blockchain-enabled access control to prevent cyber attacks in IoT: Systematic literature review20230 citations
- Enhancing sentiment and intent analysis in public health via fine-tuned Large Language Models on tobacco and e-cigarette-related tweets20230 citations
- The digitized chronic disease management model: scalable strategies for implementing standardized healthcare and big data analytics in Shanghai20230 citations
- Benchmarking open source and paid services for speech to text: an analysis of quality and input variety20230 citations
- Just preparation for war and AI-enabled weapons20230 citations
- Real-time recommendations for energy-efficient appliance usage in households20230 citations
- Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations20230 citations
- Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients20230 citations
- Multi-list interfaces for recommender systems: survey and future directions20230 citations
- Untangling classification methods for melanoma skin cancer20220 citations
- Development of a machine learning approach for local-scale ozone forecasting: application to Kennewick, WA20220 citations
- Ethical views on sharing digital data for public health surveillance: analysis of survey data among patients20220 citations
- Automated detection of vaping-related tweets on Twitter during the 2019 EVALI outbreak using machine learning classification20220 citations
- Ethics of AI in radiology: a review of ethical and societal implications20220 citations
- Maximum likelihood reconstruction of water Cherenkov events with deep generative neural networks20220 citations
- Exploring the use of topological data analysis to automatically detect data quality faults20220 citations
- Effects of feature-based explanation and its output modality on user satisfaction with service recommender systems20220 citations
- Contagion dynamics for manifold learning20220 citations
- Fair digital twins for data-intensive research20220 citations
- A methodology for evaluating operator usage of machine learning recommendations for power grid contingency analysis20220 citations
- Improving variational autoencoders for new physics detection at the LHC with normalizing flows20220 citations
- Causal inference in the presence of interference in sponsored search advertising20220 citations
- Scaling Graph Propagation Kernels for Predictive Learning20220 citations
- Graph neural networks for charged particle tracking on FPGAs20220 citations
- Adversarial robustness of deep reinforcement learning based dynamic recommender systems20220 citations
- BurnoutEnsemble: augmented intelligence to detect indications for burnout in clinical psychology20220 citations
- When patients recover from covid-19: Data-driven insights from wearable technologies20220 citations
- Daily spatial complete soil moisture mapping over southeast China using CYGNSS and MODIS data20220 citations
- Deep learning approach for assessing air quality during COVID-19 lockdown in Quito20220 citations
- Blockchain for Electronic Vaccine Certificates: More Cons Than Pros?20220 citations
- big data management in industry 4.020210 citations
- Autotuning of exascale applications with anomalies detection20210 citations
- Principles and practice of explainable machine learning20210 citations
- Named data networking for genomics data management and integrated workflows20210 citations
- User, usage and usability: Redefining human centric cyber security20210 citations
- Proximity-based compression for network embedding20210 citations
- Data consistency for data-driven smart energy assessment20210 citations
- Conditional-GAN based data augmentation for deep learning task classifier improvement using fNIRS data20210 citations
- A policy and practice review of consumer protections and their application to hospital-sourced data aggregation and analytics by third-party companies20210 citations
- A policy-driven approach to secure extraction of covid-19 data from research papers20210 citations
- Knowledge-infused learning for entity prediction in driving scenes20210 citations
- Deep graph mapper: Seeing graphs through the neural lens20210 citations
- Margin: Uncovering deep neural networks using graph signal analysis20210 citations
- DroughtCast: A machine learning forecast of the United States drought monitor20210 citations
- Distance-weighted graph neural networks on FPGAs for real-time particle reconstruction in high energy physics20210 citations
- Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing20210 citations
- A predictive maintenance model for flexible manufacturing in the context of industry 4.020210 citations
- Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies20210 citations
- Benchmarking of data-driven causality discovery approaches in the interactions of arctic sea ice and atmosphere20210 citations
- Decentralized but globally coordinated biodiversity data20200 citations
- Vulnerabilities of connectionist AI applications: evaluation and defense20200 citations
- Considerations for a more ethical approach to data in AI: On data representation and infrastructure20200 citations
- FoodKG: A tool to enrich knowledge graphs using machine learning techniques20200 citations
- Variational autoencoder modular Bayesian networks for simulation of heterogeneous clinical study data20200 citations
- Interdisciplinary research in artificial intelligence: challenges and opportunities20200 citations
- Accelerating spatial cross-matching on cpu-gpu hybrid platform with cuda and openacc20200 citations
- Quantitatively measuring privacy in interactive query settings within rdbms framework20200 citations
- Next-generation digital ecosystem for climate data mining and knowledge discovery: a review of digital data collection technologies20200 citations
- A digital nudge to counter confirmation bias20190 citations
- Deep representation learning for social network analysis20190 citations
- A review of microsoft academic services for science of science studies20190 citations
- You can't see me: Anonymizing graphs using the szemerédi regularity lemma20190 citations
- Identifying dynamic memory effects on vegetation state using recurrent neural networks20190 citations
- AI for not bad20190 citations
- Misc-GAN: A multi-scale generative model for graphs20190 citations
- From big scholarly data to solution-oriented knowledge repository20190 citations
06Reviewer comments
Reviewer comments and rejection reasons for Frontiers in Big Data
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07Similar journals
Journals similar to Frontiers in Big Data
Journals that publish the closest work to the papers above, from the indexing lists:
- SensorsSCIEScopusJCR 20247 similar papers
- Soft ComputingSCIEScopusJCR 20244 similar papers
- Multimedia Tools and ApplicationsScopusJCR 20244 similar papers
- IEEE AccessSCIEScopusJCR 202413 similar papers
- International Journal of Advanced Computer Science and ApplicationsESCIScopusJCR 20245 similar papers
- Journal of Theoretical and Applied Information TechnologyScopus20 similar papers
08Journal Finder
Find the right journal for your paper
Is Frontiers in Big Data right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,503 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
09Questions
Frequently asked questions
What is the impact factor of Frontiers in Big Data?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Frontiers in Big Data is 7.02: papers it published in the two previous years were cited 7.02 times on average in a year. The journal is listed in JCR 2024, so Clarivate also publishes an official Journal Impact Factor, which can differ.
What is the h-index of Frontiers in Big Data?
The h-index of Frontiers in Big Data is 53 (OpenAlex, October 2026): 53 of its papers have each been cited at least 53 times. Its i10-index is 296.
What is the APC of Frontiers in Big Data?
OpenAlex lists an article processing charge (APC) of about US$1,418 for Frontiers in Big Data, an open access journal (data from October 2026). APCs change and can differ by article type, country or discounts, so confirm the current charge on the journal’s website before submitting.
Is Frontiers in Big Data a Q1 journal?
By 2-year citedness, Frontiers in Big Data ranks 19 of 155 journals in Multidisciplinary Sciences, which places it in Q1 of that Web of Science category. This ranking is calculated by ScholarsColab from OpenAlex data; the official JCR quartile can differ.
Is Frontiers in Big Data indexed in Scopus?
Yes. Frontiers in Big Data appears in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Big Data an SCIE journal?
Frontiers in Big Data is listed in ESCI of the Web of Science Core Collection, but not in SCIE, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Frontiers in Big Data in Journal Citation Reports (JCR)?
Yes. Frontiers in Big Data is listed in JCR 2024, so it has a Journal Impact Factor. For the current impact factor and quartile, check Journal Citation Reports.
What topics does Frontiers in Big Data publish?
The papers published in Frontiers in Big Data that we track most often mention data, learning, network, graph, model, deep. Check the journal’s aims and scope for its full coverage.
How many papers published in Frontiers in Big Data does ScholarsColab track?
We track 152 papers published in Frontiers in Big Data between 2019 and 2026, cited 0 times in total, with a median of 0 citations per paper.
Does Frontiers in Big Data offer an APC waiver?
Frontiers in Big Data follows the policy of Frontiers: no country list; fee support is granted case by case on demonstrated need. No country rule: the publisher decides case by case, or has no waiver scheme. Rules verified 27 October 2026; confirm on the publisher's page.
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