Leaderboards/Non-Invasive Vital Sign Monitoring

Non-Invasive Vital Sign Monitoring

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Farshad Tehrani
University of California San Diego
2
Thanveer Shaik
University of Southern Queensland
3
Yin Tang
Jinan University
4
Jiaobing Tu
University of Washington
5
Changhao Xu
California Institute of Technology
6
Ali I. Siam
Kafrelsheikh University
7
Kuldeep Mahato
University of California System
8
Talha Iqbal
Ollscoil na Gaillimhe – University of Galway
9
Chonghe Wang
University of California San Diego
10
H. Ceren Ates
Technical University of Munich

Rising Stars Papers

1
A physicochemical-sensing electronic skin for stress response monitoring
Nature Electronics|2024
359 cit.
2
Hybrid multimodal wearable sensors for comprehensive health monitoring
Nature Electronics|2024
308 cit.
3
Stressomic: A wearable microfluidic biosensor for dynamic profiling of multiple stress hormones in sweat
Science Advances|2025
49 cit.
4
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
IEEE Transactions on Neural Networks and Learning Systems|2024
44 cit.
5
Stress monitoring with wearable technology and AI
Nature Electronics|2024
28 cit.
6
Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future prospects
Health Sciences Review|2024
21 cit.
7
Regulating the imbalance for the container relocation problem: A deep reinforcement learning approach
Computers & Industrial Engineering|2024
21 cit.
8
Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset
Diagnostics|2025
21 cit.
9
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning
IEEE Transactions on Knowledge and Data Engineering|2024
18 cit.
10
Biosensor Strip for Rapid On‐site Assessment of Levodopa Pharmacokinetics along with Motor Performance in Parkinson's Disease
Angewandte Chemie International Edition|2024
18 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Tom Pollard
Massachusetts Institute of Technology
2
Mohamed Elgendi
Khalifa University of Science and Technology
3
Hanyu Wang
Qingdao Academy of Intelligent Industries
4
Jessilyn Dunn
Duke University
5
Hansen A. Mansy
University of Central Florida
6
Alexander von Lühmann
Massachusetts General Hospital
7
Yifan Fan
Ningxia University
8
Özal Yıldırım
Fırat University
9
Christoph Hoog Antink
Philips (Germany)
10
Deepu John
University College Dublin

Emerging Leaders Papers

1
A predictive analytics approach for stroke prediction using machine learning and neural networks
Healthcare Analytics|2022
243 cit.
2
ANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors
IEEE Transactions on Biomedical Circuits and Systems|2022
148 cit.
3
Assessment of ownership of smart devices and the acceptability of digital health data sharing
npj Digital Medicine|2024
84 cit.
4
NIR‐II Emissive Ru(II) Metallacycle Assisting Fluorescence Imaging and Cancer Therapy
Small|2022
48 cit.
5
AI in medicine: Where are we now and where are we going?
Cell Reports Medicine|2022
42 cit.
6
A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19
npj Digital Medicine|2022
41 cit.
7
Urban heat island reduces annual building energy consumption and temperature related mortality in severe cold region of China
Urban Climate|2022
34 cit.
8
An Explainable Vision Transformer Model Based White Blood Cells Classification and Localization
Diagnostics|2023
34 cit.
9
Accuracy Evaluation of 3D Pose Estimation with MediaPipe Pose for Physical Exercises
Current Directions in Biomedical Engineering|2023
33 cit.
10
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors
IEEE Journal of Biomedical and Health Informatics|2024
33 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Peter J. Schwartz
IRCCS Istituto Auxologico Italiano
2
Roger G. Mark
Massachusetts Institute of Technology
3
David A. Boas
Neurophotonics Laboratory
4
Rosalind W. Picard
Human Media
5
Ali Javey
Lawrence Berkeley National Laboratory
6
Pasi A. Karjalainen
University of Eastern Finland
7
Yuan‐Ting Zhang
Chinese University of Hong Kong
8
Ki H. Chon
University of Connecticut
9
Gerard de Haan
Philips (Finland)
10
U. Rajendra Acharya
University of Southern Queensland

Current Senior Leaders Papers

1
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
European Heart Journal|1996
15.3k cit.
2
MIMIC-III, a freely accessible critical care database
Scientific Data|2016
8.1k cit.
3
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Nature|2016
4.9k cit.
4
The impact of the MIT-BIH Arrhythmia Database
IEEE Engineering in Medicine and Biology Magazine|2001
4.6k cit.
5
Ballistic carbon nanotube field-effect transistors
Nature|2003
3.2k cit.
6
Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction
The Lancet|1998
3.1k cit.
7
MIMIC-IV, a freely accessible electronic health record dataset
Scientific Data|2023
2.8k cit.
8
Kubios HRV – Heart rate variability analysis software
Computer Methods and Programs in Biomedicine|2013
2.7k cit.
9
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Computers in Biology and Medicine|2020
2.7k cit.
10
Toward machine emotional intelligence: analysis of affective physiological state
IEEE Transactions on Pattern Analysis and Machine Intelligence|2001
2.3k cit.

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