Ying-Nong Chen
- Media Technology top 2%
- Computer Vision and Pattern Recognition top 10%
- Atmospheric Science
- Artificial Intelligence
- Ecology
- Co-authors
- Kuo‐Chin FanChin‐Chuan HanYang-Lang ChangTipajin ThaipisutikulChin-Chuan HanBor-Shenn JengTan-Hsu TanLena Chang
- Topics
- Remote-Sensing Image Classification (7 papers)Face and Expression Recognition (6 papers)Remote Sensing and Land Use (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote Sensing
In The Last Decade
Ying-Nong Chen
24 papers receiving 323 citations
Peers
Comparison fields: 5 of 76
- Media Technology 153
- Computer Vision and Pattern Recognition 130
- Atmospheric Science 86
- Artificial Intelligence 61
- Ecology 47
Countries citing papers authored by Ying-Nong Chen
This map shows the geographic impact of Ying-Nong 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 Ying-Nong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Nong Chen more than expected).
Fields of papers citing papers by Ying-Nong Chen
This network shows the impact of papers produced by Ying-Nong 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 Ying-Nong Chen. The network helps show where Ying-Nong Chen may publish in the future.
Co-authorship network of co-authors of Ying-Nong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Nong Chen. A scholar is included among the top collaborators of Ying-Nong Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying-Nong Chen. Ying-Nong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 22 | |
| 3 | 9 | |
| 4 | 60 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 14 | |
| 14 | 33 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 50 | |
| 19 | 10 | |
| 20 | 3 |
About Ying-Nong Chen
Ying-Nong Chen is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 25 papers that have together received 343 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Face and Expression Recognition (6 papers) and Remote Sensing and Land Use (6 papers). The work is most often cited by research in Media Technology (153 citations), Computer Vision and Pattern Recognition (130 citations) and Atmospheric Science (86 citations). Ying-Nong Chen has collaborated with scholars based in Taiwan, Indonesia and Thailand. Frequent co-authors include Kuo‐Chin Fan, Chin‐Chuan Han, Yang-Lang Chang, Tipajin Thaipisutikul, Chin-Chuan Han, Bor-Shenn Jeng, Tan-Hsu Tan, Lena Chang, Jinnan Liu and Chih-Chung Lo. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.
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.