Su‐Shing Chen

2.0k citations
127 papers · 1.6k · h-index 20

Impact in

Papers in

    • Semantic Web and Ontologies 10
    • Intelligent Tutoring Systems and Adaptive Learning 8
    • Multi-Agent Systems and Negotiation 7
    • Text and Document Classification Technologies 7
    • Machine Learning in Bioinformatics 9
    • Biomedical Text Mining and Ontologies 8
    • Bioinformatics and Genomic Networks 7

Su‐Shing Chen

114 papers receiving 1.4k citations

Peers

Su‐Shing Chen
Comparison fields: 5 of 173
  • Computer Science Applications 112
  • Conservation 52
  • Computer Vision and Pattern Recognition 256
  • Artificial Intelligence 400
  • Space and Planetary Science 12
Replace Stavros Christodoulakis with:
Stavros Christodoulakis Greece
William R. Harris United States
Zhisheng Huang Netherlands
David E. Johnson United States
Hisashi Kashima Japan
Alan Shaw United States
Rudolf Mayer Austria
Ester Zumpano Italy
Nan Du United States
John W. Lloyd Australia
Su‐Shing Chen relative to Stavros Christodoulakis Greece Stavros Christodoulakis's profile →
Citations per field
00.5×
Stavros Christodoulakis · 1×
Citations per year

Countries citing papers authored by Su‐Shing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Shing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008144
2 1996113
3 200181
4 201973
5 200167
6 200266
7 200161
8 201553
9 200652
10 200951
11 198051
12 201541
13 201841
14 199338
15 200933
16 201628
17 198626
18 200925
19 200224
20 201823

About Su‐Shing Chen

Su‐Shing Chen is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 127 papers that have together received 1.6k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Machine Learning in Bioinformatics (9 papers), Intelligent Tutoring Systems and Adaptive Learning (8 papers), Biomedical Text Mining and Ontologies (8 papers), Multi-Agent Systems and Negotiation (7 papers), Text and Document Classification Technologies (7 papers), Bioinformatics and Genomic Networks (7 papers) and Geometric Analysis and Curvature Flows (6 papers). The work is most often cited by research in Computer Science Applications (112 citations), Conservation (52 citations), Computer Vision and Pattern Recognition (256 citations), Artificial Intelligence (400 citations) and Space and Planetary Science (12 citations). Su‐Shing Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hongchi Shi, Sio-Iong Ao, Yi Shang, Mahyar A. Amouzegar, Wen-Ran Zhang, Patrick Eberlein, V. S. Subrahmanian, Sibel Adalı, Kutluhan Erol and K. Selçuk Candan. Their work appears in journals such as International Journal of Intelligent Systems, Proceedings of the American Mathematical Society, Journal of Visual Communication and Image Representation, Transactions of the American Mathematical Society and International Journal of Information Technology & Decision Making.

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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