Chun Wang
Impact in
- Acoustics and Ultrasonics top 10%
- Artificial Intelligence top 2%
- Wireless Signal Modulation Classification
- Advanced Graph Neural Networks
Papers in
-
- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Zufan Zhang (3 shared papers)Chenquan Gan (2 shared papers)Guodong Long (1 shared paper)Jing Bo Jiang (1 shared paper)Shirui Pan (1 shared paper)Xingquan Zhu (1 shared paper)Yong Xiang (1 shared paper)Mengjun Wang (2 shared papers)
- Journals
- International Journal of Eating Disorders (2 papers)Frontiers in Pharmacology (2 papers)Biomaterials (2 papers)Planta Medica (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chun Wang
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 155
- Acoustics and Ultrasonics 19
- Artificial Intelligence 656
- Statistical and Nonlinear Physics 165
- Geriatrics and Gerontology 40
- Reproductive Medicine 62
Countries citing papers authored by Chun Wang
This map shows the geographic impact of Chun Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Wang more than expected).
Fields of papers citing papers by Chun Wang
This network shows the impact of papers produced by Chun Wang. 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 Wang. The network helps show where Chun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Wang, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 299 | |
| 2 | 2020 | 231 | |
| 3 | 2019 | 191 | |
| 4 | 2019 | 130 | |
| 5 | 2015 | 81 | |
| 6 | 1989 | 72 | |
| 7 | 2018 | 56 | |
| 8 | 2011 | 50 | |
| 9 | 2013 | 44 | |
| 10 | 2012 | 34 | |
| 11 | 2019 | 23 | |
| 12 | 2018 | 23 | |
| 13 | 2024 | 23 | |
| 14 | 2020 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2016 | 15 | |
| 17 | 2005 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2010 | 14 |
About Chun Wang
Chun Wang is a scholar working on Computer Networks and Communications, Molecular Biology, Artificial Intelligence, Hardware and Architecture and Immunology, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Immunotherapy and Immune Responses (3 papers), Bioinformatics and Genomic Networks (3 papers), Wireless Signal Modulation Classification (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (19 citations), Artificial Intelligence (656 citations), Statistical and Nonlinear Physics (165 citations), Geriatrics and Gerontology (40 citations) and Reproductive Medicine (62 citations). Chun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zufan Zhang, Chenquan Gan, Guodong Long, Jing Bo Jiang, Shirui Pan, Xingquan Zhu, Yong Xiang, Mengjun Wang, Shaohui Sun and Jean Rivier. Their work appears in journals such as International Journal of Eating Disorders, Frontiers in Pharmacology, Biomaterials, Planta Medica and IEEE Access.
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.