Bing Wang
Impact in
- Molecular Biology top 2%
- Hedgehog Signaling Pathway Studies
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
-
- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 25
- Spectroscopy 42
- Mass Spectrometry Techniques and Applications 17
- Co-authors
- Peng Chen (84 shared papers)Kenneth M. Merz (16 shared papers)Jun Zhang (59 shared papers)Jin Jiang (12 shared papers)Jianhang Jia (3 shared papers)Martin B. Peters (3 shared papers)Yasuo Yoshikuni (1 shared paper)László Füsti-Molnár (2 shared papers)
- Journals
- International Journal of Molecular Sciences (12 papers)BMC Bioinformatics (10 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (10 papers)Journal of Chromatography A (10 papers)IEEE Transactions on Computational Biology and Bioinformatics (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bing Wang
609 papers receiving 13.4k citations
Bing Wang's Hit Papers
Peers
Comparison fields: 5 of 203
- Molecular Biology 3.4k
- Computer Vision and Pattern Recognition 1.2k
- Computational Theory and Mathematics 819
- Automotive Engineering 405
- Plant Science 1.3k
Countries citing papers authored by Bing Wang
This map shows the geographic impact of Bing 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 Bing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wang more than expected).
Fields of papers citing papers by Bing Wang
This network shows the impact of papers produced by Bing 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 Bing Wang. The network helps show where Bing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 645 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 430 | |
| 2 | 2011 | 339 | |
| 3 | Microbiome Engineering: Synthetic Biology of Plant-Associated Microbiomes in Sustainable Agriculture Hit paper breakdown → | 2020 | 301 |
| 4 | 2004 | 275 | |
| 5 | 2013 | 253 | |
| 6 | 2002 | 238 | |
| 7 | 2007 | 227 | |
| 8 | 2018 | 184 | |
| 9 | 2005 | 147 | |
| 10 | 2012 | 143 | |
| 11 | 2019 | 143 | |
| 12 | 2005 | 132 | |
| 13 | 2009 | 131 | |
| 14 | 2011 | 130 | |
| 15 | 2015 | 127 | |
| 16 | 2020 | 124 | |
| 17 | 2012 | 119 | |
| 18 | 2021 | 115 | |
| 19 | 2020 | 114 | |
| 20 | 2017 | 108 |
About Bing Wang
Bing Wang is a scholar working on Computer Vision and Pattern Recognition, Spectroscopy, Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence, having authored 645 papers that have together received 13.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (32 papers), Computational Drug Discovery Methods (28 papers), Advanced Neural Network Applications (25 papers), Metabolomics and Mass Spectrometry Studies (18 papers), Protein Structure and Dynamics (17 papers), Mass Spectrometry Techniques and Applications (17 papers), Attention Deficit Hyperactivity Disorder (16 papers) and Industrial Vision Systems and Defect Detection (15 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Computer Vision and Pattern Recognition (1.2k citations), Computational Theory and Mathematics (819 citations), Automotive Engineering (405 citations) and Plant Science (1.3k citations). Bing Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Chen, Kenneth M. Merz, Jun Zhang, Jin Jiang, Jianhang Jia, Martin B. Peters, Yasuo Yoshikuni, László Füsti-Molnár, Chao Tong and De-Shuang Huang. Their work appears in journals such as International Journal of Molecular Sciences, BMC Bioinformatics, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Journal of Chromatography A and IEEE Transactions on Computational Biology and Bioinformatics.
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.