Chun‐Han Lin
Impact in
- Aging top 10%
Papers in
-
- Green IT and Sustainability 9
- Organic Light-Emitting Diodes Research 5
- Organic Electronics and Photovoltaics 4
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- Energy Efficient Wireless Sensor Networks 4
- Opportunistic and Delay-Tolerant Networks 4
- Co-authors
- Pi-Cheng Hsiu (11 shared papers)Mark A. LaBarge (5 shared papers)Cheng-Kang Hsieh (2 shared papers)Valerie M. Weaver (1 shared paper)Hui Zhang (1 shared paper)Catherine Park (1 shared paper)Ming-Syan Chen⋆ (4 shared papers)Chih‐Hao Chang (5 shared papers)
- Journals
- Solar RRL (2 papers)ACM Transactions on Embedded Computing Systems (2 papers)Journal of Visualized Experiments (2 papers)Journal of Systems and Software (1 paper)Advanced Optical Materials (1 paper)
- Partner nations
- TaiwanUnited StatesNorway
In The Last Decade
Chun‐Han Lin
39 papers receiving 787 citations
Peers
Comparison fields: 5 of 93
- Aging 21
- Business and International Management 18
- Cell Biology 122
- Computer Vision and Pattern Recognition 111
- Electrical and Electronic Engineering 300
Countries citing papers authored by Chun‐Han Lin
This map shows the geographic impact of Chun‐Han 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 Chun‐Han Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Han Lin more than expected).
Fields of papers citing papers by Chun‐Han Lin
This network shows the impact of papers produced by Chun‐Han 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 Chun‐Han Lin. The network helps show where Chun‐Han Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Han 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 130 | |
| 2 | 2015 | 128 | |
| 3 | 2014 | 59 | |
| 4 | 2012 | 43 | |
| 5 | 2024 | 41 | |
| 6 | 2018 | 38 | |
| 7 | 2020 | 35 | |
| 8 | 2018 | 32 | |
| 9 | 2014 | 29 | |
| 10 | 2019 | 24 | |
| 11 | 2016 | 24 | |
| 12 | 2011 | 22 | |
| 13 | 2017 | 22 | |
| 14 | 2018 | 22 | |
| 15 | 2018 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 2015 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2009 | 11 | |
| 20 | 2022 | 8 |
About Chun‐Han Lin
Chun‐Han Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Materials Chemistry and Sociology and Political Science, having authored 41 papers that have together received 800 indexed citations. Recurring topics across this work include Green IT and Sustainability (9 papers), Image and Video Quality Assessment (8 papers), Multimedia Communication and Technology (6 papers), Organic Light-Emitting Diodes Research (5 papers), Organic Electronics and Photovoltaics (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Aging (21 citations), Business and International Management (18 citations), Cell Biology (122 citations), Computer Vision and Pattern Recognition (111 citations) and Electrical and Electronic Engineering (300 citations). Chun‐Han Lin has collaborated with scholars based in Taiwan, United States and Norway. Frequent co-authors include Pi-Cheng Hsiu, Mark A. LaBarge, Cheng-Kang Hsieh, Valerie M. Weaver, Hui Zhang, Catherine Park, Ming-Syan Chen⋆, Chih‐Hao Chang, Aakash Saha and Katja Bargsten. Their work appears in journals such as Solar RRL, ACM Transactions on Embedded Computing Systems, Journal of Visualized Experiments, Journal of Systems and Software and Advanced Optical Materials.
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.