Haohan Wang
Impact in
- Computational Mathematics top 10%
- Health Informatics top 10%
Papers in
-
- Machine Learning in Healthcare 6
- Anomaly Detection Techniques and Applications 6
- Adversarial Robustness in Machine Learning 5
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- Gene expression and cancer classification 10
- Bioinformatics and Genomic Networks 8
- Co-authors
- Eric P. Xing (23 shared papers)Ming Xu (8 shared papers)Bryon Aragam (4 shared papers)Yunpeng Xiao (5 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)IEEE Transactions on Intelligent Transportation Systems (2 papers)Bioinformatics (2 papers)Journal of Personalized Medicine (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Haohan Wang
74 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 154
- Computational Mathematics 12
- Health Informatics 17
- Statistical and Nonlinear Physics 135
- Artificial Intelligence 299
- Transportation 45
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2018 | 120 | |
| 3 | 2017 | 108 | |
| 4 | 2018 | 55 | |
| 5 | Using EEG to Improve Massive Open Online Courses Feedback Interaction. | 2013 | 52 |
| 6 | 2020 | 50 | |
| 7 | 2022 | 49 | |
| 8 | 2015 | 42 | |
| 9 | 2018 | 30 | |
| 10 | 2018 | 29 | |
| 11 | 2019 | 24 | |
| 12 | 2014 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2015 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2024 | 12 | |
| 20 | 2022 | 12 |
About Haohan Wang
Haohan Wang is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Information Systems and Economics and Econometrics, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Gene expression and cancer classification (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Bioinformatics and Genomic Networks (8 papers), Machine Learning in Healthcare (6 papers), Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Computational Mathematics (12 citations), Health Informatics (17 citations), Statistical and Nonlinear Physics (135 citations), Artificial Intelligence (299 citations) and Transportation (45 citations). Haohan Wang has collaborated with scholars based in United States, China and Australia. 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 Aman Gupta. Their work appears in journals such as Journal of Computational Biology, Methods, IEEE Transactions on Intelligent Transportation Systems, Bioinformatics and Journal of Personalized 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.