Eric Sung

2.5k citations
74 papers · 1.7k · h-index 18

Impact in

Papers in

Eric Sung

71 papers receiving 1.6k citations

Peers

Eric Sung
Comparison fields: 5 of 142
  • Human-Computer Interaction 251
  • Computer Vision and Pattern Recognition 803
  • Signal Processing 325
  • Ophthalmology 236
  • Radiology, Nuclear Medicine and Imaging 256
Replace Xenophon Zabulis with:
Xenophon Zabulis Greece
Gongping Yang China
Mudassar Raza Pakistan
Muhammad Arsalan South Korea
Steven Lawrence Fernandes India
Joo‐Hwee Lim Singapore
Soo-Hyung Kim South Korea
Hoshang Kolivand United Kingdom
Daniel Riccio Italy
Unsang Park South Korea
Eric Sung relative to Xenophon Zabulis Greece Xenophon Zabulis's profile →
Citations per field
00.5×4.4×
Xenophon Zabulis · 1×
Citations per year

Countries citing papers authored by Eric Sung

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Sung. 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 Eric Sung. The network helps show where Eric Sung may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric Sung, 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 Eric Sung Line = papers co-authored together Eric Sung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007302
2 2007181
3 2007150
4 2002116
5 200477
6 200677
7 201067
8 200656
9 199954
10 200453
11 200149
12 200743
13 202237
14 202134
15 202033
16 202118
17 200518
18 200417
19 202316
20 201015

About Eric Sung

Eric Sung is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Computational Mechanics, Control and Systems Engineering and Signal Processing, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Face recognition and analysis (27 papers), Face and Expression Recognition (15 papers), 3D Shape Modeling and Analysis (15 papers), Cardiac electrophysiology and arrhythmias (14 papers), Cardiac Arrhythmias and Treatments (11 papers), Advanced Vision and Imaging (9 papers), Human Motion and Animation (8 papers) and Cardiovascular Effects of Exercise (7 papers). The work is most often cited by research in Human-Computer Interaction (251 citations), Computer Vision and Pattern Recognition (803 citations), Signal Processing (325 citations), Ophthalmology (236 citations) and Radiology, Nuclear Medicine and Imaging (256 citations). Eric Sung has collaborated with scholars based in Singapore, United States and Canada. Frequent co-authors include Jian-Gang Wang, Lei Wang, Xuchun Li, Wei‐Yun Yau, Jiangang Wang, Edmond C. Prakash, Ronda Venkateswarlu, Ce Zheng, Juan Xu and O. Chutatape. Their work appears in journals such as Heart Rhythm, Journal of Visual Languages & Computing, Pattern Recognition Letters, Image and Vision Computing and Pattern Recognition.

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.

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