Pin Wan
Impact in
- Signal Processing top 5%
- Blind Source Separation Techniques
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- Cognitive Radio Networks and Spectrum Sensing
- Distributed Sensor Networks and Detection Algorithms
Papers in
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- Cognitive Radio Networks and Spectrum Sensing 32
- Distributed Sensor Networks and Detection Algorithms 14
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- Blind Source Separation Techniques 20
- Co-authors
- Yonghua Wang (39 shared papers)Shunchao Zhang (20 shared papers)Yongwei Zhang (19 shared papers)Mingfu Tian (1 shared paper)Geng Li (1 shared paper)Jianguo Wu (1 shared paper)Ge Yang (1 shared paper)Yubing Chen (1 shared paper)
- Journals
- IEEE Access (3 papers)IEEE Systems Journal (2 papers)International Journal of Sensor Networks (2 papers)Complex & Intelligent Systems (2 papers)Complexity (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Pin Wan
53 papers receiving 891 citations
Pin Wan's Hit Papers
Peers
Comparison fields: 5 of 137
- Signal Processing 185
- Computer Networks and Communications 361
- Cancer Research 92
- Health Informatics 6
- Computational Mechanics 79
Countries citing papers authored by Pin Wan
This map shows the geographic impact of Pin Wan'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 Pin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Wan more than expected).
Fields of papers citing papers by Pin Wan
This network shows the impact of papers produced by Pin Wan. 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 Pin Wan. The network helps show where Pin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin Wan, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hypoxia signaling in human health and diseases: implications and prospects for therapeutics Hit paper breakdown → | 2022 | 300 |
| 2 | 2018 | 82 | |
| 3 | 2012 | 38 | |
| 4 | 2017 | 38 | |
| 5 | 2019 | 28 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2014 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2018 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2013 | 19 | |
| 15 | 2019 | 17 | |
| 16 | 2021 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2018 | 13 |
About Pin Wan
Pin Wan is a scholar working on Computer Networks and Communications, Signal Processing, Computational Mechanics, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 55 papers that have together received 905 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (32 papers), Blind Source Separation Techniques (20 papers), Distributed Sensor Networks and Detection Algorithms (14 papers), Sparse and Compressive Sensing Techniques (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced MIMO Systems Optimization (7 papers), AI in cancer detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Signal Processing (185 citations), Computer Networks and Communications (361 citations), Cancer Research (92 citations), Health Informatics (6 citations) and Computational Mechanics (79 citations). Pin Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yonghua Wang, Shunchao Zhang, Yongwei Zhang, Mingfu Tian, Geng Li, Jianguo Wu, Ge Yang, Yubing Chen, Qiwei Zhang and Yongkui Li. Their work appears in journals such as IEEE Access, IEEE Systems Journal, International Journal of Sensor Networks, Complex & Intelligent Systems and Complexity.
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.