Ying-Hsiang Chen

774 citations
12 papers · 355 · h-index 6

Impact in

Papers in

Ying-Hsiang Chen

12 papers receiving 331 citations

Peers

Ying-Hsiang Chen
Comparison fields: 5 of 48
  • Cardiology and Cardiovascular Medicine 306
  • Cognitive Neuroscience 212
  • Signal Processing 69
  • Biomedical Engineering 95
  • Health Information Management 8
Replace T. Stamkopoulos with:
T. Stamkopoulos Greece
P. Pisani Italy
Mohamed I. Owis Egypt
G Distante Netherlands
M. Lagerholm Sweden
N. S. Lingayat India
G.G. Cano United States
C. Zeelenberg Netherlands
R. Bousseljot Germany
Shubha Deepti Palreddy United States
Ying-Hsiang Chen relative to T. Stamkopoulos Greece T. Stamkopoulos's profile →
Citations per field
00.5×3.5×
T. Stamkopoulos · 1×
Citations per year

Countries citing papers authored by Ying-Hsiang Chen

Since Specialization
Citations

This map shows the geographic impact of Ying-Hsiang Chen'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 Ying-Hsiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Hsiang Chen more than expected).

Fields of papers citing papers by Ying-Hsiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Hsiang Chen. 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 Ying-Hsiang Chen. The network helps show where Ying-Hsiang Chen may publish in the future.

Co-authors

The 23 scholars most cited alongside Ying-Hsiang Chen, 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 Ying-Hsiang Chen Line = papers co-authored together Ying-Hsiang Chen links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2007212
2 200847
3 201531
4 201127
5 200720
6 20066
7 20064
8 20083
9 20132
10 20181
11 20021
12 20091

About Ying-Hsiang Chen

Ying-Hsiang Chen is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Signal Processing, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 12 papers that have together received 355 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (9 papers), EEG and Brain-Computer Interfaces (6 papers), Blind Source Separation Techniques (4 papers), Analog and Mixed-Signal Circuit Design (3 papers), Phonocardiography and Auscultation Techniques (3 papers), Cardiac electrophysiology and arrhythmias (1 paper), Image and Video Quality Assessment (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (306 citations), Cognitive Neuroscience (212 citations), Signal Processing (69 citations), Biomedical Engineering (95 citations) and Health Information Management (8 citations). Ying-Hsiang Chen has collaborated with scholars based in Taiwan and Yemen. Frequent co-authors include Sung‐Nien Yu, Huey‐Ming Lo, Juey‐Jen Hwang, Feng‐Cheng Tang, Hou‐Chang Chiu, Chi‐Chuan Wang, I‐Chien Wu, Chih‐Cheng Hsu, Ling‐Ping Lai and Jiunn‐Lee Lin. Their work appears in journals such as Artificial Intelligence in Medicine, EP Europace, Pattern Recognition Letters, Conference proceedings and Genome Announcements.

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