Jong-Chyi Su

709 citations
20 papers · 482 · h-index 11

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Vision and Imaging
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Image Enhancement Techniques
  • Geology top 10%
    • 3D Surveying and Cultural Heritage

Papers in

Jong-Chyi Su

18 papers receiving 466 citations

Peers

Jong-Chyi Su
Comparison fields: 5 of 93
  • Computer Vision and Pattern Recognition 272
  • Geology 46
  • Computer Graphics and Computer-Aided Design 21
  • Artificial Intelligence 143
  • Biotechnology 34
Replace Yezhen Wang with:
Yezhen Wang China
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Yonglin Zhang China
Jaishanker K. Pillai United States
Ceyhun Burak Akgül Türkiye
Chenlei Lv China
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M. Pauliina Ramo United Kingdom
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Jong-Chyi Su relative to Yezhen Wang China Yezhen Wang'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

20 of 20 papers shown
#Work
1 2020108
2 201983
3 201567
4 199447
5 202129
6
The effect of methylmercury on isolated cardiac tissues.
197919
7 202319
8 201718
9 197616
10 202415
11 198414
12 202111
13 199411
14 19739
15 20178
16 20204
17 20122
18 19842
19 20250
20 20250

About Jong-Chyi Su

Jong-Chyi Su is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 20 papers that have together received 482 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (5 papers), Computer Graphics and Visualization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Advanced Vision and Imaging (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Human Pose and Action Recognition (2 papers) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (272 citations), Geology (46 citations), Computer Graphics and Computer-Aided Design (21 citations), Artificial Intelligence (143 citations) and Biotechnology (34 citations). Jong-Chyi Su has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Subhransu Maji, Bharath Hariharan, Rui Wang, Matheus Gadelha, Ting-Chun Wang, Zezhou Cheng, Jitendra Malik, Ravi Ramamoorthi, Michael W. Tao and Lu Zeng. Their work appears in journals such as Anesthesiology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Cardiovascular Research, Journal of Natural Products 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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