Han Wang
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Thermal properties of materials
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Bioinformatics 19
- RNA and protein synthesis mechanisms 17
- Protein Structure and Dynamics 14
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 6
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- Genetics 16
- Co-authors
- Linfeng Zhang (3 shared papers)E Weinan (2 shared papers)Jiequn Han (1 shared paper)Huaibo Song (1 shared paper)Qian Wu (1 shared paper)Dongjian He (1 shared paper)Dihua Wu (1 shared paper)Bo Jiang (1 shared paper)
- Journals
- International Journal of Molecular Sciences (6 papers)PLoS ONE (3 papers)Frontiers in Genetics (3 papers)IEEE Access (2 papers)International Journal of Legal Medicine (2 papers)
- Partner nations
- ChinaUnited StatesSierra Leone
In The Last Decade
Han Wang
71 papers receiving 2.5k citations
Han Wang's Hit Papers
Peers
Comparison fields: 5 of 147
- Materials Chemistry 1.1k
- Computational Theory and Mathematics 189
- Molecular Biology 695
- Small Animals 62
- Fluid Flow and Transfer Processes 52
Countries citing papers authored by Han Wang
This map shows the geographic impact of Han 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 Han Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Wang more than expected).
Fields of papers citing papers by Han Wang
This network shows the impact of papers produced by Han 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 Han Wang. The network helps show where Han Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics Hit paper breakdown → | 2018 | 1458 |
| 2 | 2016 | 159 | |
| 3 | 2019 | 119 | |
| 4 | 2020 | 74 | |
| 5 | 2021 | 60 | |
| 6 | 2018 | 50 | |
| 7 | 2014 | 48 | |
| 8 | 2013 | 43 | |
| 9 | 2012 | 32 | |
| 10 | 2023 | 29 | |
| 11 | 2020 | 27 | |
| 12 | 2020 | 24 | |
| 13 | 2009 | 23 | |
| 14 | 2021 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2023 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2019 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2019 | 14 |
About Han Wang
Han Wang is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Plant Science and Artificial Intelligence, having authored 81 papers that have together received 2.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (19 papers), RNA and protein synthesis mechanisms (17 papers), Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (6 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Materials Chemistry (1.1k citations), Computational Theory and Mathematics (189 citations), Molecular Biology (695 citations), Small Animals (62 citations) and Fluid Flow and Transfer Processes (52 citations). Han Wang has collaborated with scholars based in China, United States and Sierra Leone. Frequent co-authors include Linfeng Zhang, E Weinan, Jiequn Han, Huaibo Song, Qian Wu, Dongjian He, Dihua Wu, Bo Jiang, Xueqin Dai and Xihan Guo. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Frontiers in Genetics, IEEE Access and International Journal of Legal Medicine.
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.