Beilun Wang
Impact in
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning
- Advanced Graph Neural Networks
Papers in
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- Adversarial Robustness in Machine Learning 5
- Anomaly Detection Techniques and Applications 3
- Advanced Graph Neural Networks 3
- Gaussian Processes and Bayesian Inference 3
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- Gene expression and cancer classification 6
- Metabolomics and Mass Spectrometry Studies 3
- Machine Learning in Bioinformatics 3
- Co-authors
- Yanjun Qi (11 shared papers)Ritambhara Singh (3 shared papers)Jack Lanchantin (2 shared papers)Ji Gao (5 shared papers)Chunshu Li (2 shared papers)Meng Wang (2 shared papers)Shaowen Zhu (1 shared paper)Jing Yang (1 shared paper)
- Journals
- Health Information Science and Systems (2 papers)Synthetic and Systems Biotechnology (1 paper)Knowledge-Based Systems (1 paper)Sensors (1 paper)IISE Transactions (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Beilun Wang
24 papers receiving 306 citations
Beilun Wang's Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 108
- Microbiology 17
- Health Informatics 3
- Computer Vision and Pattern Recognition 45
- Organizational Behavior and Human Resource Management 18
Countries citing papers authored by Beilun Wang
This map shows the geographic impact of Beilun 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 Beilun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beilun Wang more than expected).
Fields of papers citing papers by Beilun Wang
This network shows the impact of papers produced by Beilun 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 Beilun Wang. The network helps show where Beilun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Beilun 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens Hit paper breakdown → | 2025 | 33 |
| 3 | 2023 | 29 | |
| 4 | 2022 | 28 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2017 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 9 | |
| 11 | A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise. | 2016 | 8 |
| 12 | A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples | 2017 | 8 |
| 13 | 2017 | 7 | |
| 14 | DeepMask: Masking DNN Models for robustness against adversarial samples. | 2017 | 6 |
| 15 | 2016 | 6 | |
| 16 | DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples | 2017 | 4 |
| 17 | 2025 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2021 | 2 |
About Beilun Wang
Beilun Wang is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 29 papers that have together received 319 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Graph Neural Networks (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Statistical Methods and Inference (3 papers), Machine Learning in Bioinformatics (3 papers) and Gaussian Processes and Bayesian Inference (3 papers). The work is most often cited by research in Artificial Intelligence (108 citations), Microbiology (17 citations), Health Informatics (3 citations), Computer Vision and Pattern Recognition (45 citations) and Organizational Behavior and Human Resource Management (18 citations). Beilun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanjun Qi, Ritambhara Singh, Jack Lanchantin, Ji Gao, Chunshu Li, Meng Wang, Shaowen Zhu, Jing Yang, Miao Song and Yi Huang. Their work appears in journals such as Health Information Science and Systems, Synthetic and Systems Biotechnology, Knowledge-Based Systems, Sensors and IISE Transactions.
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.