Rung-Ching Chen
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Media Technology top 1%
- Vehicle License Plate Recognition
Papers in
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- Advanced Neural Network Applications 28
- Face and Expression Recognition 11
- Advanced Image and Video Retrieval Techniques 9
- Handwritten Text Recognition Techniques 8
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- Semantic Web and Ontologies 14
- Co-authors
- Christine Dewi (38 shared papers)Rezzy Eko Caraka (26 shared papers)Su-Wen Huang (5 shared papers)Hendry Hendry (13 shared papers)Hui Yu (12 shared papers)Xiaoyi Jiang (10 shared papers)Shao-Kuo Tai (7 shared papers)Yanting Liu (7 shared papers)
In The Last Decade
Rung-Ching Chen
174 papers receiving 3.4k citations
Rung-Ching Chen's Hit Papers
Peers
Comparison fields: 5 of 183
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 389
- Transportation 243
- Health Information Management 130
- Human-Computer Interaction 162
Countries citing papers authored by Rung-Ching Chen
This map shows the geographic impact of Rung-Ching 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 Rung-Ching Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rung-Ching Chen more than expected).
Fields of papers citing papers by Rung-Ching Chen
This network shows the impact of papers produced by Rung-Ching 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 Rung-Ching Chen. The network helps show where Rung-Ching Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Rung-Ching Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Selecting critical features for data classification based on machine learning methods Hit paper breakdown → | 2020 | 619 |
| 2 | 2019 | 206 | |
| 3 | 2017 | 185 | |
| 4 | 2021 | 137 | |
| 5 | 2011 | 110 | |
| 6 | 2009 | 89 | |
| 7 | 2021 | 89 | |
| 8 | 2022 | 86 | |
| 9 | 2021 | 79 | |
| 10 | 2020 | 65 | |
| 11 | 2018 | 65 | |
| 12 | 2019 | 64 | |
| 13 | 2020 | 57 | |
| 14 | 2020 | 57 | |
| 15 | 2022 | 56 | |
| 16 | 2010 | 54 | |
| 17 | 2021 | 54 | |
| 18 | 2018 | 52 | |
| 19 | 2020 | 48 | |
| 20 | 2019 | 39 |
About Rung-Ching Chen
Rung-Ching Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Information Systems and Computer Networks and Communications, having authored 190 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (28 papers), Vehicle License Plate Recognition (19 papers), Semantic Web and Ontologies (14 papers), Face and Expression Recognition (11 papers), Recommender Systems and Techniques (11 papers), Infrastructure Maintenance and Monitoring (10 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Handwritten Text Recognition Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (389 citations), Transportation (243 citations), Health Information Management (130 citations) and Human-Computer Interaction (162 citations). Rung-Ching Chen has collaborated with scholars based in Taiwan, Indonesia and China. Frequent co-authors include Christine Dewi, Rezzy Eko Caraka, Su-Wen Huang, Hendry Hendry, Hui Yu, Xiaoyi Jiang, Shao-Kuo Tai, Yanting Liu, Cho-Tsan Bau and Chia-Fen Hsieh. Their work appears in journals such as IEEE Access, Applied Sciences, Journal of Ambient Intelligence and Humanized Computing, Multimedia Tools and Applications and Big Data and Cognitive Computing.
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.