Bing Wang
Impact in
- Molecular Biology top 1%
- Hedgehog Signaling Pathway Studies
- Protein Structure and Dynamics
- Epigenetics and DNA Methylation
- Machine Learning in Bioinformatics
- Developmental Biology and Gene Regulation
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- Advanced Neural Network Applications
Papers in
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- Protein Structure and Dynamics 48
- Metabolomics and Mass Spectrometry Studies 32
- Machine Learning in Bioinformatics 30
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- Advanced Neural Network Applications 36
- Advanced Image and Video Retrieval Techniques 26
- Co-authors
- Peng Chen (85 shared papers)Kenneth M. Merz (16 shared papers)Jin Jiang (15 shared papers)Jun Zhang (60 shared papers)Jianhang Jia (4 shared papers)Gelin Wang (3 shared papers)Martin Peters (3 shared papers)Chao Tong (4 shared papers)
- Journals
- International Journal of Molecular Sciences (13 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (10 papers)Journal of Chromatography A (10 papers)BMC Bioinformatics (10 papers)Neurocomputing (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bing Wang
679 papers receiving 14.3k citations
Bing Wang's Hit Papers
Peers
Comparison fields: 5 of 215
- Molecular Biology 5.3k
- Computer Vision and Pattern Recognition 1.3k
- Computational Theory and Mathematics 921
- Analytical Chemistry 508
- Genetics 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 727 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 405 | |
| 2 | 2011 | 326 | |
| 3 | 2004 | 281 | |
| 4 | Microbiome Engineering: Synthetic Biology of Plant-Associated Microbiomes in Sustainable Agriculture Hit paper breakdown → | 2020 | 270 |
| 5 | 2002 | 245 | |
| 6 | 2013 | 245 | |
| 7 | 2007 | 223 | |
| 8 | 2018 | 174 | |
| 9 | 2000 | 157 | |
| 10 | 2005 | 155 | |
| 11 | 2019 | 138 | |
| 12 | 2012 | 138 | |
| 13 | 2005 | 132 | |
| 14 | 2009 | 128 | |
| 15 | 2011 | 126 | |
| 16 | 2015 | 116 | |
| 17 | 2020 | 115 | |
| 18 | 2020 | 108 | |
| 19 | 2017 | 104 | |
| 20 | 2010 | 103 |
About Bing Wang
Bing Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering, having authored 727 papers that have together received 14.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (48 papers), Computational Drug Discovery Methods (39 papers), Advanced Neural Network Applications (36 papers), Metabolomics and Mass Spectrometry Studies (32 papers), Machine Learning in Bioinformatics (30 papers), Analytical Chemistry and Chromatography (29 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Spectroscopy and Chemometric Analyses (21 papers). The work is most often cited by research in Molecular Biology (5.3k citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Theory and Mathematics (921 citations), Analytical Chemistry (508 citations) and Genetics (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, Jin Jiang, Jun Zhang, Jianhang Jia, Gelin Wang, Martin Peters, Chao Tong, Ke Jing and Yasuo Yoshikuni. Their work appears in journals such as International Journal of Molecular Sciences, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Journal of Chromatography A, BMC Bioinformatics and Neurocomputing.
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.