Hai Lin
Impact in
-
- Computer Graphics and Visualization Techniques
-
- Data Visualization and Analytics
- Advanced Vision and Imaging
Papers in
-
- Computer Graphics and Visualization Techniques 31
- Co-authors
- Yubo TaoHujun BaoJin XuGordon ClapworthyShihui ZhenJun LinYu TaoFeng Dong
- Journals
- IEEE Transactions on Antennas and Propagation (5 papers)The Visual Computer (4 papers)Computer Graphics Forum (4 papers)IEEE Antennas and Wireless Propagation Letters (3 papers)IEEE Transactions on Visualization and Computer Graphics (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hai Lin
111 papers receiving 985 citations
Peers
Comparison fields: 5 of 111
- Computer Graphics and Computer-Aided Design 130
- Computer Vision and Pattern Recognition 293
- Computational Mathematics 8
- Health Informatics 17
- Transportation 54
Countries citing papers authored by Hai Lin
This map shows the geographic impact of Hai 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 Hai Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Lin more than expected).
Fields of papers citing papers by Hai Lin
This network shows the impact of papers produced by Hai 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 Hai Lin. The network helps show where Hai Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 144 | |
| 15 | 2016 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2012 | 10 | |
| 18 | Analysis of the Virtual Enterprise Partner Selection Based on multi-agent System | 2009 | 2 |
| 19 | 2004 | 1 | |
| 20 | 2003 | 1 |
About Hai Lin
Hai Lin is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mathematics, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Human-Computer Interaction, having authored 128 papers that have together received 1.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (31 papers), Advanced Vision and Imaging (24 papers), Electromagnetic Scattering and Analysis (21 papers), Data Visualization and Analytics (19 papers), Electromagnetic Simulation and Numerical Methods (12 papers), 3D Shape Modeling and Analysis (11 papers), Advanced Antenna and Metasurface Technologies (9 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (130 citations), Computer Vision and Pattern Recognition (293 citations), Computational Mathematics (8 citations), Health Informatics (17 citations) and Transportation (54 citations). Hai Lin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yubo Tao, Hujun Bao, Jin Xu, Gordon Clapworthy, Shihui Zhen, Jun Lin, Yu Tao, Feng Dong, Wei Lu and Sarun Juengpanich. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, The Visual Computer, Computer Graphics Forum, IEEE Antennas and Wireless Propagation Letters and IEEE Transactions on Visualization and Computer Graphics.
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.