Xiaosen Wang
Impact in
- Artificial Intelligence top 2%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Adversarial Robustness in Machine Learning 11
- Anomaly Detection Techniques and Applications 8
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- Surface Modification and Superhydrophobicity 7
- Co-authors
- Kun He (8 shared papers)Jingdong Wang (2 shared papers)Qiang He (13 shared papers)Zhong Deng (2 shared papers)Xiao Chang (2 shared papers)Wenzheng Zhang (2 shared papers)Yichen Yang (3 shared papers)Zehua Xu (6 shared papers)
In The Last Decade
Xiaosen Wang
39 papers receiving 897 citations
Xiaosen Wang's Hit Papers
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 498
- Signal Processing 139
- Surfaces, Coatings and Films 64
- Hardware and Architecture 57
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Xiaosen Wang
This map shows the geographic impact of Xiaosen 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 Xiaosen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosen Wang more than expected).
Fields of papers citing papers by Xiaosen Wang
This network shows the impact of papers produced by Xiaosen 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 Xiaosen Wang. The network helps show where Xiaosen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaosen 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhancing the Transferability of Adversarial Attacks through Variance Tuning Hit paper breakdown → | 2021 | 256 |
| 2 | 2021 | 126 | |
| 3 | 2017 | 81 | |
| 4 | 2021 | 48 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 34 | |
| 7 | 2023 | 31 | |
| 8 | 2017 | 29 | |
| 9 | 2023 | 28 | |
| 10 | 2023 | 28 | |
| 11 | 2015 | 18 | |
| 12 | 2024 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2022 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2020 | 14 | |
| 18 | AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. | 2019 | 12 |
| 19 | Natural Language Adversarial Defense through Synonym Encoding | 2021 | 11 |
| 20 | 2025 | 9 |
About Xiaosen Wang
Xiaosen Wang is a scholar working on Artificial Intelligence, Surfaces, Coatings and Films, Electrical and Electronic Engineering, Mechanics of Materials and Plant Science, having authored 42 papers that have together received 908 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (11 papers), Anomaly Detection Techniques and Applications (8 papers), Surface Modification and Superhydrophobicity (7 papers), Icing and De-icing Technologies (5 papers), Irrigation Practices and Water Management (5 papers), Smart Materials for Construction (5 papers), Polymer Nanocomposites and Properties (4 papers) and Crop Yield and Soil Fertility (3 papers). The work is most often cited by research in Artificial Intelligence (498 citations), Signal Processing (139 citations), Surfaces, Coatings and Films (64 citations), Hardware and Architecture (57 citations) and Computer Vision and Pattern Recognition (156 citations). Xiaosen Wang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Kun He, Jingdong Wang, Qiang He, Zhong Deng, Xiao Chang, Wenzheng Zhang, Yichen Yang, Zehua Xu, Yihe Deng and Anling Li. Their work appears in journals such as Agronomy, PLoS ONE, Scientia Horticulturae, Journal of Colloid and Interface Science and Journal of Polymer Research.
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.