Che Lin
Impact in
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- Cooperative Communication and Network Coding
- IoT and Edge/Fog Computing
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- Advanced MIMO Systems Optimization
- Energy Harvesting in Wireless Networks
- Advanced Wireless Communication Technologies
- Full-Duplex Wireless Communications
Papers in ⓘ
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- Cooperative Communication and Network Coding 15
- Distributed Control Multi-Agent Systems 5
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- Advanced MIMO Systems Optimization 15
- Energy Harvesting in Wireless Networks 6
- Co-authors
- Te-Cheng Hsu (9 shared papers)Tsung‐Hui Chang (3 shared papers)Chong‐Yung Chi (3 shared papers)Tsung-Che Chiang (3 shared papers)Tony Q. S. Quek (4 shared papers)Yu Tsao (1 shared paper)Yu‐Heng Lai (2 shared papers)Weining Chen (1 shared paper)
In The Last Decade
Che Lin
62 papers receiving 934 citations
Peers
Comparison fields: 5 of 125
- Computer Networks and Communications 239
- Electrical and Electronic Engineering 310
- Health Informatics 7
- Cancer Research 75
- Artificial Intelligence 133
Countries citing papers authored by Che Lin
This map shows the geographic impact of Che 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 Che Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che Lin more than expected).
Fields of papers citing papers by Che Lin
This network shows the impact of papers produced by Che 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 Che Lin. The network helps show where Che Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Che 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
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2020 | 106 | |
| 3 | 2012 | 100 | |
| 4 | 2021 | 81 | |
| 5 | 2021 | 46 | |
| 6 | 2021 | 35 | |
| 7 | 2015 | 29 | |
| 8 | 2014 | 27 | |
| 9 | 2013 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2014 | 20 | |
| 14 | 2010 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2017 | 15 | |
| 17 | 2014 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2014 | 13 | |
| 20 | 2015 | 12 |
About Che Lin
Che Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Health Information Management and Biological Psychiatry, having authored 71 papers that have together received 946 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (15 papers), Advanced MIMO Systems Optimization (15 papers), AI in cancer detection (6 papers), Energy Harvesting in Wireless Networks (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Distributed Control Multi-Agent Systems (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Computer Networks and Communications (239 citations), Electrical and Electronic Engineering (310 citations), Health Informatics (7 citations), Cancer Research (75 citations) and Artificial Intelligence (133 citations). Che Lin has collaborated with scholars based in Taiwan, China and Australia. Frequent co-authors include Te-Cheng Hsu, Tsung‐Hui Chang, Chong‐Yung Chi, Tsung-Che Chiang, Tony Q. S. Quek, Yu Tsao, Yu‐Heng Lai, Weining Chen, Bor‐Sen Chen and Thinh Quang Dinh. Their work appears in journals such as IEEE Transactions on Signal Processing, BMC Systems Biology, IEEE Transactions on Wireless Communications, Scientific Reports and ACS Synthetic Biology.
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.