Chung‐Min Chen

423 citations
25 papers · 224 · h-index 10

Impact in

Papers in

Chung‐Min Chen

25 papers receiving 208 citations

Peers

Chung‐Min Chen
Comparison fields: 5 of 45
  • Signal Processing 100
  • Computer Networks and Communications 138
  • Computer Vision and Pattern Recognition 64
  • Computer Graphics and Computer-Aided Design 10
  • Artificial Intelligence 74
Replace Uri Shaft with:
Uri Shaft United States
Stratos Papadomanolakis United States
Sharon C. Salveter United States
Adam Storm United States
Edward Gan United States
Marcus Paradies Germany
Ahmed M. Aly United States
Asaf Adi United States
Kian Win Ong United States
Jonathan Dees Germany
Chung‐Min Chen relative to Uri Shaft United States Uri Shaft's profile →
Citations per field
00.5×1.7×
Uri Shaft · 1×
Citations per year

Countries citing papers authored by Chung‐Min Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Min Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Min 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 Chung‐Min Chen. The network helps show where Chung‐Min Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200328
2 200224
3
The ADMS Project: View R Us.
199520
4 200820
5 200218
6 200317
7 200716
8 201612
9 200710
10 200510
11 20037
12 20047
13 20026
14 20035
15
Therapeutic effect of interferon-gamma for prevention of severe infection in X-linked chronic granulomatous disease.
20034
16 20003
17 20033
18 19993
19
Telcordia LSI Engine: Implementation Scalability and Issues
20012
20 20002

About Chung‐Min Chen

Chung‐Min Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 224 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Digital Image Processing Techniques (5 papers), Peer-to-Peer Network Technologies (4 papers), Computational Geometry and Mesh Generation (4 papers), Advanced Database Systems and Queries (4 papers), Advanced Data Storage Technologies (3 papers), Network Traffic and Congestion Control (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Signal Processing (100 citations), Computer Networks and Communications (138 citations), Computer Vision and Pattern Recognition (64 citations), Computer Graphics and Computer-Aided Design (10 citations) and Artificial Intelligence (74 citations). Chung‐Min Chen has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Christine T. Cheng, Yibei Ling, Shan-Hung Wu, Ming-Syan Chen⋆, Rakesh Sinha, Keng‐Pei Lin, R. Bhatia, Stephen Kelley, Yannis Papakonstantinou and Nick Roussopoulos. Their work appears in journals such as Wireless Networks, Theoretical Computer Science, Journal of the ACM, ACM SIGMOD Record and IEEE Transactions on Knowledge and Data Engineering.

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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