Suting Chen

1.4k citations
86 papers · 1.1k · h-index 18

Impact in

Papers in

Suting Chen

83 papers receiving 1.0k citations

Peers

Suting Chen
Comparison fields: 5 of 146
  • Infectious Diseases 253
  • Media Technology 91
  • Epidemiology 224
  • Biological Psychiatry 16
  • Small Animals 46
Replace Aleksandra Tarkowska with:
Aleksandra Tarkowska United Kingdom
Hilary W. Thompson United States
Wei‐Yao Wang Taiwan
Luís G. Gonçalves Portugal
Mark Anderson United States
Mahesh Mohan United States
Hiroshi Kondo Japan
M. Wada Japan
Penghao Wang Australia
Nan Zhao China
Suting Chen relative to Aleksandra Tarkowska United Kingdom Aleksandra Tarkowska's profile →
Citations per field
00.5×6.6×
Aleksandra Tarkowska · 1×
Citations per year

Countries citing papers authored by Suting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Suting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201995
2 201582
3 202062
4 201756
5 201148
6 201739
7 201532
8 201832
9 200930
10 202026
11 202125
12 201524
13 202222
14 201322
15 202219
16 201619
17 201019
18 201817
19 201517
20 202217

About Suting Chen

Suting Chen is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases, Epidemiology, Media Technology and Molecular Biology, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (13 papers), Advanced Image and Video Retrieval Techniques (9 papers), Video Surveillance and Tracking Methods (8 papers), Remote-Sensing Image Classification (7 papers), Remote Sensing and LiDAR Applications (6 papers), Advanced Neural Network Applications (5 papers) and Automated Road and Building Extraction (5 papers). The work is most often cited by research in Infectious Diseases (253 citations), Media Technology (91 citations), Epidemiology (224 citations), Biological Psychiatry (16 citations) and Small Animals (46 citations). Suting Chen has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Xiangdong Gao, Wenbing Yao, Hong Cai, Yan Sun, Jiayun Li, Song Chen, Hairong Huang, Jin Meng, Haozhe Jiang and Rui Feng. Their work appears in journals such as Drug Delivery, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Displays.

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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