Jong-Chyi Su

688 citations
17 papers · 247 · h-index 10

Impact in

Papers in

Jong-Chyi Su

16 papers receiving 242 citations

Peers

Jong-Chyi Su
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 116
  • Computer Graphics and Computer-Aided Design 14
  • Biotechnology 31
  • Media Technology 17
  • Instrumentation 5
Replace Bingfeng Zhou with:
Bingfeng Zhou China
Ram Krishna Pandey India
Xiaoting Yin China
Yufeng Shi China
Philippe H. Gosselin France
Yuanhui Yu China
Robert H. Wallis United Kingdom
Li Bi China
Jong-Chyi Su relative to Bingfeng Zhou China Bingfeng Zhou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jong-Chyi Su

Since Specialization
Citations

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

Fields of papers citing papers by Jong-Chyi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Chyi Su. 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 Jong-Chyi Su. The network helps show where Jong-Chyi Su may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201561
2 199442
3 202123
4
The effect of methylmercury on isolated cardiac tissues.
197919
5 202316
6 197614
7 198413
8 201713
9 199411
10 20219
11 19738
12 20246
13 20175
14
Unsupervised Discovery of Object Landmarks via Contrastive Learning
20203
15 19842
16 20122
17 20250

About Jong-Chyi Su

Jong-Chyi Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Pharmacology and Cell Biology, having authored 17 papers that have together received 247 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (2 papers), Human Pose and Action Recognition (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Computer Graphics and Computer-Aided Design (14 citations), Biotechnology (31 citations), Media Technology (17 citations) and Instrumentation (5 citations). Jong-Chyi Su has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Subhransu Maji, Michael Tao, Jitendra Malik, Zezhou Cheng, Ting-Chun Wang, Ravi Ramamoorthi, F.-J. Schmitz, Lu Zeng, C. Lynn Skelton and Carl E. Hock. Their work appears in journals such as Anesthesiology, Phytochemistry, Journal of Natural Products, Cardiovascular Research and American Journal of Physiology-Heart and Circulatory Physiology.

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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