PhysioNet / MIT-BIH

data category: Medical and clinical datasets · 0 papers in the last 7 days

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Clinical records, medical images and physiological signals used in medical machine learning.

Names searched for: PhysioNet, MIT-BIH

Key findings#

From Nov 2023 to Oct 2026, 147 archived papers mentioned PhysioNet / MIT-BIH in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (10).
PhysioNet / MIT-BIH was mentioned in 4 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #79 of the 246 datasets mentioned.
By journal category: AI (4).
Most of them appeared in Knowledge-Based Systems (1), Expert Systems with Applications (1) and Artificial Intelligence Review (1).
From 2017 to 2026 (so far), PhysioNet / MIT-BIH was mentioned in 223 papers in the tracked journals, most of them in AI (213), information systems (4) and operations research (3).
55 of them were published in 2025, against 5 in 2017.
Since 2023, the institutions with the most of these papers were University of Oxford (5), Nanjing University of Information Science and Technology (4) and University of Cambridge (4).
The journals publishing most of them were Expert Systems with Applications (25), Artificial Intelligence Review (19) and Knowledge-Based Systems (12).
The most-cited of them is “Heart sound classification based on improved MFCC features and convolutional recurrent neural networks” (Neural Networks, 2020), with 340 citations.
Papers use PhysioNet / MIT-BIH most often with MIMIC (42), ImageNet (16) and Kaggle (13); it has 16 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	44	54	49	147

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2018	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	5	5	8	10	14	16	26	34	53	42
Information Systems	0	0	0	1	0	0	0	2	0	1
Operations Research	0	0	0	0	0	0	0	2	0	1
Statistics	0	0	0	0	0	0	0	0	1	1
Finance	0	0	0	0	0	0	0	0	1	0
All categories	5	5	8	11	14	16	26	38	55	45

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Expert Systems with Applications	25
2	Artificial Intelligence Review	19
3	Knowledge-Based Systems	12
4	Journal Of Big Data	11
5	Neural Computing and Applications	10
6	Applied Intelligence	9
7	Machine Learning	8
8	Information Fusion	8
9	Cognitive Computation	6
10	IEEE Transactions on Neural Networks and Learning Systems	6

Institutions with the most papers, since 2023
#	Institution	Papers
1	University of Oxford	5
2	Nanjing University of Information Science and Technology	4
3	University of Cambridge	4
4	University of Electronic Science and Technology of China	4
5	Jouf University	3
6	King Faisal University	3
7	Singapore University of Technology and Design	3
8	The University of Queensland	3
9	University of Essex	3
10	University of Manchester	3

Countries with the most papers, since 2023
#	Country	Papers
1	China	45
2	United Kingdom	24
3	United States	24
4	India	19
5	Australia	15
6	Germany	9
7	Saudi Arabia	9
8	United Arab Emirates	8
9	Egypt	7
10	Turkey	7

Keywords with the most papers, since 2023
#	Keyword	Papers
1	MIT-BIH arrhythmia database	29
2	arrhythmia detection	20
3	electrocardiogram	15
4	class imbalance	14
5	ECG classification	11
6	electronic health records	11
7	clinical decision support	10
8	arrhythmia classification	9
9	transformer models	9
10	convolutional neural networks	8

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	340	4.4	Heart sound classification based on improved MFCC features and convolutional recurrent neural networks	Neural Networks	2020-06-23	Muqing Deng, Tingting Meng, Jiuwen Cao et al.
2	257	3.0	Analysis and classification of heart diseases using heartbeat features and machine learning algorithms	Journal Of Big Data	2019-08-31	Fajr Ibrahem Alarsan, Mamoon Younes
3	248	2.6	RETRACTED ARTICLE: Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals	Neural Computing and Applications	2019-01-05	Paweł Pławiak, U. Rajendra Acharya
4	226	7.0	Cost-sensitive learning for imbalanced medical data: a review	Artificial Intelligence Review	2024-03-01	Imane Araf, Ali Idri, Ikram Chairi
5	223	2.6	Automated arrhythmia detection using novel hexadecimal local pattern and multilevel wavelet transform with ECG signals	Knowledge-Based Systems	2019-08-12	Türker Tuncer, Şengül Doğan, Paweł Pławiak et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use PhysioNet / MIT-BIH most often with MIMIC (42), ImageNet (16) and Kaggle (13); it has 16 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use PhysioNet / MIT-BIH together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
MIMIC	Dataset	42	26.7
ImageNet	Dataset	16	1.5
Kaggle	Dataset	13	4.8
UCI Machine Learning Repository	Dataset	13	4.4
UCR / UEA archives	Dataset	12	20.9
MNIST / Fashion-MNIST	Dataset	11	2.1
Twitter / X	Dataset	6	0.3
Chest X-ray (CheXpert, ChestX-ray14)	Dataset	5	11.2
ETT (electricity transformer temperature)	Dataset	5	24.9
UK Biobank	Dataset	5	6.6
ADNI	Dataset	4	3.5
CIFAR-10 / CIFAR-100	Dataset	4	0.6

Papers mentioning PhysioNet / MIT-BIH in the last 30 days, newest first.
Date	Title	Journal	Authors	Affiliations
2026-10-26	From unimodal to multimodal deep physiological signal analysis in healthcare: A survey of models, fusion and explainability	Knowledge-Based Systems	Thilini Bakmeedeniya, Selvarajah Thuseethan, Roshan Ragel et al.	University of Peradeniya; NSBM Green University; Charles Darwin University
2026-10-21	BioDiff: Spectrally consistent diffusion modeling for high-fidelity physiological signal generation	Expert Systems with Applications	Hengyu Dai, Hongwei Ding, Yanxin Zhang et al.	Northeastern University; Westlake University
2026-10-17	Language modeling on tabular data: a survey of foundations, techniques and evolution	Artificial Intelligence Review	Yucheng Ruan, Xiang Lan, Jingying Ma et al.	National University of Singapore; Institute of Data Science
2026-10-15	A Cognitive, Quantum-Inspired Learning Framework for Energy-Efficient and Reliable Routing in Wireless Body Area Networks	Cognitive Computation	Soufiane Ben Othman, Naima Saeed	King Faisal University; University of Aden

Cite this page

Scholar4AI. (2026). PhysioNet / MIT-BIH. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/physionet-mit-bih

@misc{scholar4ai-datasets-physionet-mit-bih,
  author = {{Scholar4AI}},
  title = {PhysioNet / MIT-BIH},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/physionet-mit-bih}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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