Vidya K. Sudarshan

3.3k citations

49 papers · 2.5k indexed · 1 hit paper · h-index 25

Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 13
Cardiology and Cardiovascular Medicine top 2%
- Heart Rate Variability and Autonomic Control 16
- ECG Monitoring and Analysis 16
- Cardiac electrophysiology and arrhythmias 3
Health Information Management top 1%
Signal Processing top 2%
Health Informatics top 5%
Radiology, Nuclear Medicine and Imaging
- Cardiac Imaging and Diagnostics 5
Artificial Intelligence
- AI in cancer detection 4
Biophysics
- Spectroscopy Techniques in Biomedical and Chemical Research 3
Pulmonary and Respiratory Medicine
- Phonocardiography and Auscultation Techniques 3

Co-authors: U. Rajendra Acharya Hamido Fujita Joel E.W. Koh Jen Hong Tan Ru‐San Tan Shreya Bhat Muhammad Adam Shu Lih Oh
Cited by: Cognitive Neuroscience Cardiology and Cardiovascular Medicine Health Information Management
Partner nations: Singapore Malaysia Japan

In The Last Decade

Vidya K. Sudarshan

48 papers receiving 2.4k citations

Hit Papers

align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2015 Application of entropies for automated diagnosis of epilepsy using EEG signals: A review

Peers

Countries citing papers authored by Vidya K. Sudarshan

Since Specialization

Citations

This map shows the geographic impact of Vidya K. Sudarshan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vidya K. Sudarshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidya K. Sudarshan more than expected).

Fields of papers citing papers by Vidya K. Sudarshan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vidya K. Sudarshan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vidya K. Sudarshan. The network helps show where Vidya K. Sudarshan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vidya K. Sudarshan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vidya K. Sudarshan Line = papers co-authored together Vidya K. Sudarshan links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Measuring undergraduate students' reliance on Generative AI during problem-solving: Scale development and validation Chenyu Hou,Gaoxia Zhu,Vidya K. Sudarshan,Fun Siong Lim,Yew-Soon Ong	2025	5
2	The role of critical thinking on undergraduates' reliance behaviours on generative AI in problem‐solving Chenyu Hou,Gaoxia Zhu,Vidya K. Sudarshan	2025	3
3	DCEnt‐PredictiveNet: A novel explainable hybrid model for time series forecasting Vidya K. Sudarshan,Reshma A. Ramachandra,Smit Ojha,Ru‐San Tan	2024	1
4	Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions Gaoxia Zhu,Vidya K. Sudarshan,Jason Fok Kow,Yew-Soon Ong	2024	2
5	Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach Joel E.W. Koh,Simona De Michele,Vidya K. Sudarshan,Jahmunah Vicnesh,Edward J. Ciaccio,Chui Ping Ooi,Raj Gururajan,Rashmi Gururajan,Shu Lih Oh,Suzanne K. Lewis,Peter H. Green,Govind Bhagat,U. Rajendra Acharya	2021	18
6	Cyto- histopathological correlation of breast lesions –A rural hospital based study Varsha Pandey,Naveen Verma,Vidya K. Sudarshan,K. S. Chandrakar,Anjana E. Sharma	2021	2
7	Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study Vidya K. Sudarshan,Mikkel Brabrand,Troels Martin Range,Uffe Kock Wiil	2021	36
8	Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science Jahmunah Vicnesh,Vidya K. Sudarshan,Shu Lih Oh,Raj Gururajan,Rashmi Gururajan,Xujuan Zhou,Xiaohui Tao,Oliver Faust,Edward J. Ciaccio,Kwan Hoong Ng,U. Rajendra Acharya	2021	48
9	Towards precision medicine: from quantitative imaging to radiomics U. Rajendra Acharya,Yuki Hagiwara,Vidya K. Sudarshan,Wai Yee Chan,Kwan Hoong Ng	2018	54
10	Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals Muhammad Adam,Shu Lih Oh,Vidya K. Sudarshan,Joel EW Koh,Yuki Hagiwara,Jen Hong Tan,Ru‐San Tan,U. Rajendra Acharya	2018	43
11	Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals U. Rajendra Acharya,Vidya K. Sudarshan,Soon Qing Rong,Zechariah Tan,Choo Min Lim,Joel EW Koh,S. Dinesh Nayak,Sulatha V. Bhandary	2017	78
12	Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques U. Rajendra Acharya,Wei Lin Ng,Kartini Rahmat,Vidya K. Sudarshan,Joel E.W. Koh,Jen Hong Tan,Yuki Hagiwara,Arkadiusz Gertych,Farhana Fadzli,Chai Hong Yeong,Kwan Hoong Ng	2017	7
13	Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals Vidya K. Sudarshan,U. Rajendra Acharya,Shu Lih Oh,Muhammad Adam,Jen Hong Tan,Chua Kuang Chua,Kok Poo Chua,Ru‐San Tan	2017	67
14	Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study U. Rajendra Acharya,Hamido Fujita,Muhammad Adam,Oh Shu Lih,Vidya K. Sudarshan,Jen Hong Tan,Joel EW Koh,Yuki Hagiwara,Chua K. Chua,Chua Kok Poo,Ru‐San Tan	2016	193
15	Computer aided diagnosis of Coronary Artery Disease, Myocardial Infarction and carotid atherosclerosis using ultrasound images: A review Oliver Faust,U. Rajendra Acharya,Vidya K. Sudarshan,Ru‐San Tan,Chai Hong Yeong,Filippo Molinari,Kwan Hoong Ng	2016	38
16	Data mining framework for identification of myocardial infarction stages in ultrasound: A hybrid feature extraction paradigm (PART 2) Vidya K. Sudarshan,U. Rajendra Acharya,E. Y. K. Ng,Ru‐San Tan,Siaw Meng Chou,Dhanjoo N. Ghista	2016	16
17	Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images U. Rajendra Acharya,U. Raghavendra,Hamido Fujita,Yuki Hagiwara,Joel EW Koh,Jen Hong Tan,Vidya K. Sudarshan,Anushya Vijayananthan,Chai Hong Yeong,Anjan Gudigar,Kwan Hoong Ng	2016	93
18	An integrated index for automated detection of infarcted myocardium from cross-sectional echocardiograms using texton-based features (Part 1) Vidya K. Sudarshan,U. Rajendra Acharya,E. Y. K. Ng,Ru‐San Tan,Siaw Meng Chou,Dhanjoo N. Ghista	2016	15
19	A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals U. Rajendra Acharya,Vidya K. Sudarshan,Hojjat Adeli,Jayasree Santhosh,Joel E.W. Koh,Subha D. Puthankatti,Amir Adeli	2015	208
20	Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review Vidya K. Sudarshan,Muthu Rama Krishnan Mookiah,U. Rajendra Acharya,Vinod Chandran,Filippo Molinari,Hamido Fujita,Kwan Hoong Ng	2015	64

About Vidya K. Sudarshan

Vidya K. Sudarshan is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (16 papers), ECG Monitoring and Analysis (16 papers), EEG and Brain-Computer Interfaces (13 papers), Cardiac Imaging and Diagnostics (5 papers), AI in cancer detection (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Health Information Management (137 citations). Vidya K. Sudarshan has collaborated with scholars based in Singapore, Malaysia and Japan. Frequent co-authors include U. Rajendra Acharya, Hamido Fujita, Joel E.W. Koh, Jen Hong Tan, Ru‐San Tan, Shreya Bhat, Muhammad Adam, Shu Lih Oh, Dhanjoo N. Ghista and Yuki Hagiwara.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact