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
- Advanced Graph Neural Networks 3
- Gaussian Processes and Bayesian Inference 3
- Anomaly Detection Techniques and Applications 3
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- Gene expression and cancer classification 6
- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Yanjun Qi (10 shared papers)Ritambhara Singh (2 shared papers)Jack Lanchantin (1 shared paper)Chunshu Li (2 shared papers)Ji Gao (5 shared papers)Meng Wang (1 shared paper)Jingyu Kuang (2 shared papers)Yan Zhang (1 shared paper)
- Journals
- Health Information Science and Systems (2 papers)ACM Transactions on Sensor Networks (1 paper)IISE Transactions (1 paper)Knowledge-Based Systems (1 paper)Machine Learning (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Beilun Wang
22 papers receiving 255 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 95
- Microbiology 11
- Organizational Behavior and Human Resource Management 17
- Computer Vision and Pattern Recognition 32
- Health Informatics 2
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 82 | |
| 2 | 2023 | 25 | |
| 3 | Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens Hit paper breakdown → | 2025 | 24 |
| 4 | 2022 | 24 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 12 | |
| 9 | A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples | 2017 | 8 |
| 10 | A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise. | 2016 | 7 |
| 11 | DeepMask: Masking DNN Models for robustness against adversarial samples. | 2017 | 6 |
| 12 | 2017 | 6 | |
| 13 | 2016 | 6 | |
| 14 | DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples | 2017 | 4 |
| 15 | 2025 | 3 | |
| 16 | 2020 | 3 | |
| 17 | A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models | 2017 | 2 |
| 18 | 2024 | 2 | |
| 19 | 2021 | 2 | |
| 20 | A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models | 2018 | 1 |
About Beilun Wang
Beilun Wang is a scholar working on Artificial Intelligence, Molecular Biology, Statistics and Probability, Information Systems and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 265 indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Adversarial Robustness in Machine Learning (5 papers), Advanced Graph Neural Networks (3 papers), Statistical Methods and Inference (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Bioinformatics and Genomic Networks (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (95 citations), Microbiology (11 citations), Organizational Behavior and Human Resource Management (17 citations), Computer Vision and Pattern Recognition (32 citations) and Health Informatics (2 citations). Beilun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanjun Qi, Ritambhara Singh, Jack Lanchantin, Chunshu Li, Ji Gao, Meng Wang, Jingyu Kuang, Yan Zhang, Shaowen Zhu and Xinyu Ma. Their work appears in journals such as Health Information Science and Systems, ACM Transactions on Sensor Networks, IISE Transactions, Knowledge-Based Systems and Machine Learning.
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.