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Manuscript Auditing →01Impact factor
Impact factor of Frontiers In Physiology (2026)
The impact factor shown here is the 2-year mean citedness: citations received in a year by the papers Frontiers In Physiology 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
- Q1Physiologyrank 11 of 88 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$3,801.
02Indexing
Indexing of Frontiers In Physiology
| List | Status |
|---|---|
| Science Citation Index Expanded (SCIE) | Not listed |
| Social Sciences Citation Index (SSCI) | Not listed |
| Arts & Humanities Citation Index (AHCI) | Not listed |
| Emerging Sources Citation Index (ESCI) | Not listed |
| Scopus | Not listed |
| Journal Citation Reports 2024 | ✓ Listed |
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).
03What it publishes
What Frontiers In Physiology 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:
04Published papers
Papers published in Frontiers In Physiology
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Lobe-wise cognitive load detection using empirical Fourier decomposition and optimized machine learning20260 citations
- The dose-effect and clinical prediction of the longest apnea duration driving the decrease of blood oxygen: a large sample OSA study with 34-second and 52-second …20260 citations
- Understanding the shortcomings of heart rate variability as a tool for autonomic analysis20260 citations
- Digital modeling of the gallbladder for revealing microanatomical features and optimizing surgical approaches in gallbladder-preserving cholelithotomy20260 citations
- Advancing Parkinson's disease detection through multi-dimensional machine learning: a comprehensive framework using wearable movement sensor analytics20260 citations
- Sicong Xie1, Cheng Chang2, Thi Mai Tran1, Zhiyi Zhou1, Chenshuo Yu1, Yucheng Chen1, Jiayin Lin1, Jiaxuan Xu1, Lei Wang1* and Yang Zhang120260 citations
- Physiological framework for non-invasive detection and objective nociception activity in communicative patients: a pilot case study20260 citations
- Transcriptomic insights into early responses of the uterovaginal junction and vagina to avian influenza virus infection in turkey breeder hens20260 citations
- An adaptive fusion of composite attention convolutional neural network for polyp image segmentation20260 citations
- Effects of acute high-altitude exposure on heart rate variability: a systematic review and meta-analysis20260 citations
- Association between the PPARGC1A Gly482Ser (rs8192678) polymorphism and endurance and power athlete status: a systematic review and meta-analysis20260 citations
- Spatiotemporal video of blood-brain barrier disruption in neuroinflammatory disorders20260 citations
- Mechanobiological and neuromuscular responses to foot-position variations during front and back squat exercises20260 citations
- Echo-ODE: A dynamics modeling network with neural ODE for temporally consistent segmentation of video echocardiograms20250 citations
- Advances in home-based respiratory muscle training for improving physical function in older adults with long COVID20250 citations
- An EEG-based machine learning framework for diagnosing acute sleep deprivation20250 citations
- An emotion recognition method based on frequency-domain features of PPG20250 citations
- Fusion-driven multimodal learning for biomedical time series in surgical care20250 citations
- Perspectives on physics-based one-dimensional modeling of lung physiology20250 citations
- The role of gut microbiota-derived metabolites in modulating poultry immunometabolism20250 citations
- Reconstruction of 12-lead ECG: a review of algorithms20250 citations
- The critical role of inflammation in osteoporosis prediction unveiled by a machine learning framework integrating multi-source data20250 citations
- AI-powered diagnosis of ovarian conditions: insights from a newly introduced ultrasound dataset20250 citations
- Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis20250 citations
- Effect of tDCS targeting the dorsolateral prefrontal cortex on psychophysiological responses and brain oxygenation during exercise in healthy adults: a proof-of …20250 citations
- Health effects of plants, light, and natural elements of biophilic interventions in confined settings: a systematic review20250 citations
- mHealth-based exercise vs. traditional exercise on pain, functional disability, and quality of life in patients with knee osteoarthritis: a systematic review and meta …20250 citations
- A review of lightweight convolutional neural networks for ultrasound signal classification20250 citations
- Acupuncture as an adjunct therapy for enhancing endometrial receptivity in female infertility: a literature review20250 citations
- Detecting muscle fatigue during lower limb isometric contractions tasks: a machine learning approach20250 citations
- Advancing our understanding of the cardiac conduction system to prevent arrhythmias20250 citations
- Interpretable machine learning models to predict survival in esophageal cancer: a study based on the SEER database and external validation in China20250 citations
- Clinically guided adaptive contrast adjustment for fetal plane classification: a modular plug-and-play solution20250 citations
- Machine learning-based radiomics approach assessing preoperative non-contrast CT for microsatellite instability prediction in colon cancer20250 citations
- Inspiratory muscle training in natural bodybuilders: adaptations in diaphragm muscle thickness and maximal strength20250 citations
- Detection of respiratory frequency rhythm in human alpha phase shifts: topographic distributions in wake and drowsy states20250 citations
- Transcriptional and electrical identity in endothelial cells is orchestrated by intercellular coupling20250 citations
- Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence20250 citations
- Multi modal fusion of medical imaging and biomechanical data using attention based swin-unet and LSTM for sports injury prediction20250 citations
- Study on the stability and accuracy of the new Booster portable cardiopulmonary function meter20250 citations
- … learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable AI20250 citations
- Determining how different ventilation shutdown plus methods change the electroencephalography, blood chemistry, corticosterone, and heat shock protein 70 of …20250 citations
- Commercial vision sensors and AI-based pose estimation frameworks for markerless motion analysis in sports and exercises: a mini review20250 citations
- Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension20250 citations
- … between serum chloride and hypertension risk with nadir around 103 mmol/L: insights from regression and interpretable machine learning (XGBoost/SHAP) using …20250 citations
- Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning20250 citations
- Physio-logging in humans: recent advances and limitations in wearable devices for biomedical applications20250 citations
- A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection20250 citations
- Heterogeneity of ventricular action potentials in neonatal rat cardiomyocytes and methodological aspects of patch clamp measurements20250 citations
- Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis20250 citations
- Immune challenges and pathogen risks in edible insects: safeguarding health in space life-support systems20250 citations
- Clinical validation of comprehensive time-and frequency-domain photoplethysmography features from a single-sensor system for non-invasive assessment of vascular …20250 citations
- Platelet rich plasma injections for knee osteoarthritis: an overview of systematic reviews20250 citations
- The effectiveness of virtual reality in people with osteoporosis or osteopenia: a systematic review and meta-analysis of randomized controlled trials20250 citations
- Evolutionary medicine and bioastronautics: an innovative approach in addressing adverse mental health effects to astronauts during long term space missions20250 citations
- Georgios Stamatakos1*, Eleni Kolokotroni1, Foteini Panagiotidou1, Stamatia Tsampa1, Christos Kyroudis1, Simon Spohn2, 3, 4, Anca-Ligia Grosu2, 3, Dimos …20250 citations
- Leveraging artificial intelligence for early detection and prediction of acute kidney injury in clinical practice20250 citations
- … alteration of the sensorimotor network in trigeminal neuralgia after microvascular decompression surgery: a follow-up study using independent component analysis20250 citations
- Efficacy of multimodal rehabilitation strategies on gastrointestinal function recovery in postoperative aortic dissection patients: a narrative review20250 citations
- Autonomic and physiological stress responses in navy divers: the protective role of diving experience20250 citations
- Causal ECGNet: leveraging causal inference for robust ECG classification in cardiac disorders20250 citations
- Biological and digital markers in sleep, circadian rhythm and epilepsy using artificial intelligence20250 citations
- Task-dependent cross-frequency neural coupling during postural perturbation: insights from EEG-based assessment in elite freestyle aerial skiers20250 citations
- Advances in artificial intelligence-enhanced electrocardiography: a pathway towards improved diagnosis and patient care20250 citations
- Water temperature and biological sex influence cold pressor pain in healthy adults: a randomized within-subjects trial20250 citations
- Multi-class: spectral-spatial temporal pyramid network and multi-class classifier-based cardiovascular disease classification20250 citations
- Cross-sex hormone therapy in rats induces sex-specific adaptations of renal function and sodium transporters expression20250 citations
- Vision-based multimodal energy expenditure estimation for aerobic exercise in adults20250 citations
- … incremental treadmill exercise protocols on the autonomic nervous system in healthy college students: a comparative study based on heart rate variability analysis20250 citations
- Salivary testosterone and cortisol responses to seven weeks of practical blood flow restriction training in collegiate American football players20250 citations
- Vision toolkit part 2. features and metrics for assessing oculomotor signal: a review20250 citations
- Benazir Burkhardt1, Oliver Chaudry1, Stephanie Kast1, 2, Simon von Stengel1, Matthias Kohl3, Frank W. Roemer1, Klaus Engelke4, Michael Uder1 and …20250 citations
- Heat stroke dysfunctions: from pathophysiology to prediction20250 citations
- Promotion of nitric oxide production: mechanisms, strategies, and possibilities20250 citations
- Exercise interventions for pulmonary function impairment: rehabilitation strategies from the acute phase to long-term sequelae20250 citations
- MRI assessment of sacral injury location and analysis of influencing factors after high-intensity focused ultrasound ablation for patients with uterine fibroids20250 citations
- Postural control and neuromuscular activation during balance in elite Chinese martial artists and sprinters20250 citations
- Technological evolution of in vitro mock circulatory loops for advanced cardiovascular assist device evaluation20250 citations
- Embryonic thermal conditioning and post-hatch heat challenge alter hypothalamic expression of genes related to appetite, thermoregulation, and stress modulation in …20250 citations
- Pre-sleep heart rate variability predicts chronic insomnia and measures of sleep continuity in national-level athletes20250 citations
- Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model20250 citations
- A simple and effective deep neural network based QRS complex detection method on ECG signal20240 citations
- Deep learning based assessment of hemodynamics in the coarctation of the aorta: comparison of bidirectional recurrent and convolutional neural networks20240 citations
- Extracting fetal heart signals from Doppler using semi-supervised convolutional neural networks20240 citations
- Deep transfer learning for automated single-lead EEG sleep staging with channel and population mismatches20240 citations
- Remote physiological signal recovery with efficient spatio-temporal modeling20240 citations
- Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet20240 citations
- BFNet: a full-encoder skip connect way for medical image segmentation20240 citations
- A deep learning framework for noninvasive fetal ECG signal extraction20240 citations
- Advanced integration of 2DCNN-GRU model for accurate identification of shockable life-threatening cardiac arrhythmias: a deep learning approach20240 citations
- Multi-branch fusion graph neural network based on multi-head attention for childhood seizure detection20240 citations
- A novel methodology for emotion recognition through 62-lead EEG signals: multilevel heterogeneous recurrence analysis20240 citations
- Analysis of fetal heart rate fluctuations in women diagnosed with preeclampsia during the latent phase of labor20240 citations
- Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network20240 citations
- Robust human locomotion and localization activity recognition over multisensory20240 citations
- The difference of affect improvement effect of music intervention in aerobic exercise at different time periods20240 citations
- Epilepsy is associated with the accelerated aging of brain activity in sleep20240 citations
- ECG data analysis to determine ST-segment elevation myocardial infarction and infarction territory type: an integrative approach of artificial intelligence and clinical …20240 citations
- Recent advances in predicting acute mountain sickness: from multidimensional cohort studies to cutting-edge model applications20240 citations
- Hyperparameter tuning using Lévy flight and interactive crossover-based reptile search algorithm for eye movement event classification20240 citations
- A regression method for EEG-based cross-dataset fatigue detection20230 citations
- CDBA: a novel multi-branch feature fusion model for EEG-based emotion recognition20230 citations
- Predictive modeling of perioperative blood transfusion in lumbar posterior interbody fusion using machine learning20230 citations
- Transformer encoder with multiscale deep learning for pain classification using physiological signals20230 citations
- DynamicSleepNet: A multi-exit neural network with adaptive inference time for sleep stage classification20230 citations
- Effects of different temperatures on growth and intestinal microbial composition of juvenile Eriocheir sinensis20230 citations
- Understanding development of jugular bulb stenosis in vein of Galen malformations: identifying metrics of complex flow dynamics in the cerebral venous vasculature …20230 citations
- Experimental models and model organisms in cardiac electrophysiology: opportunities and challenges20230 citations
- Multi-classification method of arrhythmia based on multi-scale residual neural network and multi-channel data fusion20230 citations
- Doppler radar remote sensing of respiratory function20230 citations
- Deep learning classification of systemic sclerosis from multi-site photoplethysmography signals20230 citations
- Correspondence between BOLD fMRI task response and cerebrovascular reactivity across the cerebral cortex20230 citations
- A matched-pair case control study identifying hemodynamic predictors of cerebral aneurysm growth using computational fluid dynamics20230 citations
- Volume overload impedes the maturation of sarcomeres and T-tubules in the right atria: a potential cause of atrial arrhythmia following delayed atrial septal defect …20230 citations
- Automatic coronary artery segmentation of CCTA images using UNet with a local contextual transformer20230 citations
05Reviewer comments
Reviewer comments and rejection reasons for Frontiers In Physiology
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Frontiers In Physiology, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
06Similar journals
Journals similar to Frontiers In Physiology
Journals that publish the closest work to the papers above, from the indexing lists:
- SensorsSCIEScopusJCR 20245 similar papers
- SustainabilitySCIESSCIScopusJCR 20247 similar papers
- Multimedia Tools and ApplicationsScopusJCR 20243 similar papers
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07Journal Finder
Find the right journal for your paper
Is Frontiers In Physiology right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 156,435 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.
08Questions
Frequently asked questions
What is the impact factor of Frontiers In Physiology?
Based on OpenAlex citation data (October 2026), the 2-year impact factor of Frontiers In Physiology is 4.05: papers it published in the two previous years were cited 4.05 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 Physiology?
The h-index of Frontiers In Physiology is 234 (OpenAlex, October 2026): 234 of its papers have each been cited at least 234 times. Its i10-index is 12,217.
What is the APC of Frontiers In Physiology?
OpenAlex lists an article processing charge (APC) of about US$3,801 for Frontiers In Physiology, 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 Physiology a Q1 journal?
By 2-year citedness, Frontiers In Physiology ranks 11 of 88 journals in Physiology, 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 Physiology indexed in Scopus?
Frontiers In Physiology is not listed 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 Physiology an SCIE journal?
Frontiers In Physiology is not listed in SCIE or the other Web of Science indexes, 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 Physiology in Journal Citation Reports (JCR)?
Yes. Frontiers In Physiology 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 Physiology publish?
The papers published in Frontiers In Physiology that we track most often mention learning, model, network, detection, machine, neural. Check the journal’s aims and scope for its full coverage.
How many papers published in Frontiers In Physiology does ScholarsColab track?
We track 115 papers published in Frontiers In Physiology between 2023 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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