Haohan Wang
Impact in
- Computational Mathematics top 10%
- Health Informatics top 10%
Papers in
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- Anomaly Detection Techniques and Applications 6
- Adversarial Robustness in Machine Learning 6
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- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 7
- Muscle Physiology and Disorders 5
- Co-authors
- Eric P. Xing (25 shared papers)Ming Xu (9 shared papers)Bryon Aragam (4 shared papers)Yunpeng Xiao (6 shared papers)Benjamin J. Lengerich (1 shared paper)Louis‐Philippe Morency (1 shared paper)Qian Li (1 shared paper)Xuezhi Wang (1 shared paper)
- Journals
- Journal of Computational Biology (3 papers)Methods (3 papers)Bioinformatics (2 papers)PeerJ (2 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Haohan Wang
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 152
- Computational Mathematics 13
- Health Informatics 19
- Statistical and Nonlinear Physics 140
- Artificial Intelligence 341
- Transportation 47
Countries citing papers authored by Haohan Wang
This map shows the geographic impact of Haohan 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 Haohan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haohan Wang more than expected).
Fields of papers citing papers by Haohan Wang
This network shows the impact of papers produced by Haohan 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 Haohan Wang. The network helps show where Haohan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haohan 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2017 | 124 | |
| 3 | 2018 | 122 | |
| 4 | 2018 | 60 | |
| 5 | 2022 | 57 | |
| 6 | 2020 | 56 | |
| 7 | Using EEG to Improve Massive Open Online Courses Feedback Interaction. | 2013 | 55 |
| 8 | 2015 | 43 | |
| 9 | 2018 | 32 | |
| 10 | 2018 | 31 | |
| 11 | 2019 | 26 | |
| 12 | 2014 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2015 | 18 | |
| 18 | 2023 | 16 | |
| 19 | 2025 | 15 | |
| 20 | 2023 | 15 |
About Haohan Wang
Haohan Wang is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Information Systems and Statistical and Nonlinear Physics, having authored 93 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Gene expression and cancer classification (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Bioinformatics and Genomic Networks (7 papers), Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Computational Mathematics (13 citations), Health Informatics (19 citations), Statistical and Nonlinear Physics (140 citations), Artificial Intelligence (341 citations) and Transportation (47 citations). Haohan Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Eric P. Xing, Ming Xu, Bryon Aragam, Yunpeng Xiao, Benjamin J. Lengerich, Louis‐Philippe Morency, Qian Li, Xuezhi Wang, Diyi Yang and Jianping Wu. Their work appears in journals such as Journal of Computational Biology, Methods, Bioinformatics, PeerJ and IEEE Transactions on Intelligent Transportation Systems.
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.