Yong-Jun Lin
- Computer Vision and Pattern Recognition top 5%
- Global and Planetary Change
- Biomedical Engineering
- Management Science and Operations Research top 10%
- Artificial Intelligence
- Co-authors
- Fei ChengDe-Shuang HuangZhao YangZhong‐Qiu ZhaoChangan YuanDi WuXiaoping ZhangPin‐Chan Lee
- Topics
- Disaster Management and Resilience (4 papers)Flood Risk Assessment and Management (4 papers)Hydrological Forecasting Using AI (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionManagement Science and Operations ResearchGlobal and Planetary Change
- Journals
- International Journal of Environmental Research and Public HealthSustainabilityNeurocomputing
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Yong-Jun Lin
15 papers receiving 321 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 149
- Global and Planetary Change 54
- Biomedical Engineering 44
- Management Science and Operations Research 44
- Artificial Intelligence 40
Countries citing papers authored by Yong-Jun Lin
This map shows the geographic impact of Yong-Jun Lin'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 Yong-Jun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong-Jun Lin more than expected).
Fields of papers citing papers by Yong-Jun Lin
This network shows the impact of papers produced by Yong-Jun Lin. 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 Yong-Jun Lin. The network helps show where Yong-Jun Lin may publish in the future.
Co-authorship network of co-authors of Yong-Jun Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yong-Jun Lin. A scholar is included among the top collaborators of Yong-Jun Lin 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 Yong-Jun Lin. Yong-Jun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 170 | |
| 11 | 28 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 49 | |
| 18 | 6 |
About Yong-Jun Lin
Yong-Jun Lin is a scholar working on Geography, Planning and Development, Global and Planetary Change and Emergency Medical Services, having authored 18 papers that have together received 334 indexed citations. Recurring topics across this work include Disaster Management and Resilience (4 papers), Flood Risk Assessment and Management (4 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (149 citations), Management Science and Operations Research (44 citations) and Global and Planetary Change (54 citations). Yong-Jun Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Fei Cheng, De-Shuang Huang, Zhao Yang, Zhong‐Qiu Zhao, Changan Yuan, Di Wu, Xiaoping Zhang, Pin‐Chan Lee, Yong‐Huang Lin and Fu Ren. Their work appears in journals such as International Journal of Environmental Research and Public Health, Sustainability and Neurocomputing.
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.