Weixun Wang
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Embedded Systems Design Techniques 13
- Parallel Computing and Optimization Techniques 13
- Real-Time Systems Scheduling 11
-
- Reinforcement Learning in Robotics 9
- Co-authors
- Michael H. HechtPrabhat MishraChristopher H. BeckerM. AnderleHua LinSushmita RoyThomas A. ShalerScott M. Norton
- Journals
- Journal of the American Society for Mass Spectrometry (4 papers)Proceedings of the National Academy of Sciences (3 papers)Analytical Chemistry (2 papers)Sustainable Computing Informatics and Systems (2 papers)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Weixun Wang
46 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Hardware and Architecture 264
- Spectroscopy 452
- Molecular Biology 925
- Biomaterials 172
- Computer Networks and Communications 204
Countries citing papers authored by Weixun Wang
This map shows the geographic impact of Weixun 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 Weixun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weixun Wang more than expected).
Fields of papers citing papers by Weixun Wang
This network shows the impact of papers produced by Weixun 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 Weixun Wang. The network helps show where Weixun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weixun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 16 | |
| 7 | 2020 | 1 | |
| 8 | Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping | 2020 | 2 |
| 9 | 2020 | 22 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 15 | |
| 12 | 2014 | 33 | |
| 13 | 2012 | 18 | |
| 14 | 2011 | 19 | |
| 15 | 2010 | 33 | |
| 16 | 2010 | 10 | |
| 17 | 2009 | 22 | |
| 18 | Effect of Longgu Muli Decoction with Chaihu Added on Monoamine Transmitters in Anxiety Rats | 2008 | 1 |
| 19 | 2004 | 22 | |
| 20 | 2002 | 18 |
About Weixun Wang
Weixun Wang is a scholar working on Hardware and Architecture, Artificial Intelligence, Spectroscopy, General Social Sciences and Computer Networks and Communications, having authored 48 papers that have together received 1.8k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (13 papers), Parallel Computing and Optimization Techniques (13 papers), Real-Time Systems Scheduling (11 papers), Reinforcement Learning in Robotics (9 papers), Mass Spectrometry Techniques and Applications (5 papers), Interconnection Networks and Systems (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Hardware and Architecture (264 citations), Spectroscopy (452 citations), Molecular Biology (925 citations), Biomaterials (172 citations) and Computer Networks and Communications (204 citations). Weixun Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Michael H. Hecht, Prabhat Mishra, Christopher H. Becker, M. Anderle, Hua Lin, Sushmita Roy, Thomas A. Shaler, Scott M. Norton, Praveen Kumar and Haihong Zhou. Their work appears in journals such as Journal of the American Society for Mass Spectrometry, Proceedings of the National Academy of Sciences, Analytical Chemistry, Sustainable Computing Informatics and Systems and Analytical and Bioanalytical Chemistry.
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.