Suwen Lin
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
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- IoT and Edge/Fog Computing
Papers in
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- Anomaly Detection Techniques and Applications 3
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- Data Visualization and Analytics 2
- Video Analysis and Summarization 2
- Co-authors
- Nitesh V. Chawla (6 shared papers)Yue Ma (1 shared paper)Xiaobo Sharon Hu (1 shared paper)Dong Wang (1 shared paper)Yang Zhang (1 shared paper)Daniel Zhang (1 shared paper)Louis Faust (3 shared papers)Pablo Robles-Granda (1 shared paper)
- Journals
- PLoS ONE (2 papers)Frontiers in Endocrinology (1 paper)Frontiers in Digital Health (1 paper)International Journal of Agronomy (1 paper)Zhongguo nongye Kexue (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Suwen Lin
13 papers receiving 138 citations
Peers
Comparison fields: 5 of 64
- Computer Science Applications 29
- Computer Networks and Communications 28
- Computer Vision and Pattern Recognition 20
- Transportation 6
- Applied Psychology 4
Countries citing papers authored by Suwen Lin
This map shows the geographic impact of Suwen 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 Suwen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suwen Lin more than expected).
Fields of papers citing papers by Suwen Lin
This network shows the impact of papers produced by Suwen 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 Suwen Lin. The network helps show where Suwen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Suwen Lin, 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 | 2018 | 46 | |
| 2 | 2019 | 30 | |
| 3 | 2019 | 17 | |
| 4 | Economic values of bee pollination to China's agriculture. | 2011 | 11 |
| 5 | 2019 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 3 | |
| 9 | A study on the model to predict the faculty change at colleges and universities | 2005 | 1 |
| 10 | 2020 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 1 | |
| 14 | COMBINED EFFECT OF VERMICAST-TRICHODERMA-SAWDUST ON KALE, SWISS CHARD, AND PAK CHOY GROWTH | 2020 | 0 |
About Suwen Lin
Suwen Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Social Psychology and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 139 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (3 papers), Composting and Vermicomposting Techniques (2 papers), Plant and animal studies (2 papers), Mental Health Research Topics (2 papers), Polymer-Based Agricultural Enhancements (2 papers), Data Visualization and Analytics (2 papers), Video Analysis and Summarization (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Computer Science Applications (29 citations), Computer Networks and Communications (28 citations), Computer Vision and Pattern Recognition (20 citations), Transportation (6 citations) and Applied Psychology (4 citations). Suwen Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Nitesh V. Chawla, Yue Ma, Xiaobo Sharon Hu, Dong Wang, Yang Zhang, Daniel Zhang, Louis Faust, Pablo Robles-Granda, Tomasz Kajdanowicz and Ronald Metoyer. Their work appears in journals such as PLoS ONE, Frontiers in Endocrinology, Frontiers in Digital Health, International Journal of Agronomy and Zhongguo nongye Kexue.
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.