Jun Kong
- Biophysics top 0.5%
- Cell Image Analysis Techniques 33
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- Medical Image Segmentation Techniques 27
- Advanced Image and Video Retrieval Techniques 15
- Artificial Intelligence top 1%
- AI in cancer detection 43
- Semantic Web and Ontologies 15
- Health Informatics top 2%
- Software top 5%
- Model-Driven Software Engineering Techniques 20
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- Radiomics and Machine Learning in Medical Imaging 20
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- Data Management and Algorithms 15
- Co-authors
- Joel SaltzDaniel J. BratMetin N. GürcanOlcay SertelLee CooperFusheng WangTahsin KurçÜmit V. Çatalyürek
- Journals
- Journal of Visual Languages & Computing (6 papers)Bioinformatics (5 papers)Computers in Biology and Medicine (4 papers)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Jun Kong
212 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 176
- Biophysics 462
- Computer Vision and Pattern Recognition 905
- Artificial Intelligence 1.3k
- Health Informatics 53
- Software 142
Countries citing papers authored by Jun Kong
This map shows the geographic impact of Jun Kong'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 Jun Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kong more than expected).
Fields of papers citing papers by Jun Kong
This network shows the impact of papers produced by Jun Kong. 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 Jun Kong. The network helps show where Jun Kong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 24 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 6 | |
| 11 | 2020 | 6 | |
| 12 | 2020 | 10 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 9 | |
| 15 | 2014 | 50 | |
| 16 | 2012 | 179 | |
| 17 | Graph Grammar Based Web Data Extraction. | 2011 | 2 |
| 18 | 2011 | 18 | |
| 19 | 2005 | 26 | |
| 20 | Application-oriented spatial graph grammars | 2003 | 1 |
About Jun Kong
Jun Kong is a scholar working on Biophysics, Software and Human-Computer Interaction, having authored 228 papers that have together received 3.6k indexed citations. Recurring topics across this work include AI in cancer detection (43 papers), Cell Image Analysis Techniques (33 papers), Medical Image Segmentation Techniques (27 papers), Model-Driven Software Engineering Techniques (20 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Data Management and Algorithms (15 papers), Semantic Web and Ontologies (15 papers) and Advanced Image and Video Retrieval Techniques (15 papers). The work is most often cited by research in Biophysics (462 citations), Computer Vision and Pattern Recognition (905 citations) and Artificial Intelligence (1.3k citations). Jun Kong has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Joel Saltz, Daniel J. Brat, Metin N. Gürcan, Olcay Sertel, Lee Cooper, Fusheng Wang, Tahsin Kurç, Ümit V. Çatalyürek, Joel H. Saltz and George Teodoro. Their work appears in journals such as Journal of Visual Languages & Computing, Bioinformatics, Computers in Biology and Medicine, Neuro-Oncology and Journal of Pathology Informatics.
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.