Chun Guan
Impact in
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- Optical measurement and interference techniques
- Advanced Vision and Imaging
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Neural Networks and Reservoir Computing 5
- Advanced Clustering Algorithms Research 5
- Neural Networks and Applications 4
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- Optical measurement and interference techniques 7
- Co-authors
- Laurence G. Hassebrook (6 shared papers)Daniel L. Lau (5 shared papers)Jielin Li (1 shared paper)Kevin Kam Fung Yuen (7 shared papers)Siyang Leng (13 shared papers)Frans Coenen (2 shared papers)Zhongxue Gan (5 shared papers)Ruizhi Cao (3 shared papers)
- Journals
- Optics & Laser Technology (2 papers)European Journal of Medicinal Chemistry (2 papers)Pattern Recognition (2 papers)Applied Physics Letters (1 paper)Swarm and Evolutionary Computation (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chun Guan
49 papers receiving 562 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 371
- Media Technology 127
- Geology 79
- Instrumentation 39
- Mechanical Engineering 124
Countries citing papers authored by Chun Guan
This map shows the geographic impact of Chun Guan'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 Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Guan more than expected).
Fields of papers citing papers by Chun Guan
This network shows the impact of papers produced by Chun Guan. 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 Guan. The network helps show where Chun Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Guan, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 168 | |
| 2 | 2003 | 152 | |
| 3 | 2023 | 42 | |
| 4 | 2018 | 36 | |
| 5 | 2023 | 18 | |
| 6 | 2020 | 15 | |
| 7 | 2015 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2013 | 10 | |
| 10 | 2024 | 10 | |
| 11 | 2008 | 10 | |
| 12 | 2024 | 8 | |
| 13 | 2006 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2004 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2008 | 5 | |
| 18 | 2016 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2024 | 4 |
About Chun Guan
Chun Guan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Computer Networks and Communications, having authored 52 papers that have together received 596 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (7 papers), Advanced Memory and Neural Computing (6 papers), 3D Surveying and Cultural Heritage (5 papers), Neural Networks and Reservoir Computing (5 papers), Advanced Clustering Algorithms Research (5 papers), Recommender Systems and Techniques (5 papers), Complex Network Analysis Techniques (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Media Technology (127 citations), Geology (79 citations), Instrumentation (39 citations) and Mechanical Engineering (124 citations). Chun Guan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Laurence G. Hassebrook, Daniel L. Lau, Jielin Li, Kevin Kam Fung Yuen, Siyang Leng, Frans Coenen, Zhongxue Gan, Ruizhi Cao, Jin Hui Shi and Qi Chen. Their work appears in journals such as Optics & Laser Technology, European Journal of Medicinal Chemistry, Pattern Recognition, Applied Physics Letters and Swarm and Evolutionary Computation.
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.