Xiaosen Wang
Impact in
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 11
- Anomaly Detection Techniques and Applications 8
- Co-authors
- Kun He (8 shared papers)Jingdong Wang (2 shared papers)Qiang He (12 shared papers)Xiao Chang (2 shared papers)Zhong Deng (2 shared papers)Wenzheng Zhang (2 shared papers)Yichen Yang (3 shared papers)Yihe Deng (2 shared papers)
In The Last Decade
Xiaosen Wang
37 papers receiving 816 citations
Xiaosen Wang's Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 466
- Signal Processing 128
- Hardware and Architecture 53
- Surfaces, Coatings and Films 52
- Computer Vision and Pattern Recognition 148
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 41 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 | 242 |
| 2 | 2021 | 120 | |
| 3 | 2017 | 81 | |
| 4 | 2021 | 45 | |
| 5 | 2023 | 35 | |
| 6 | 2023 | 31 | |
| 7 | 2017 | 29 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 27 | |
| 10 | 2023 | 23 | |
| 11 | 2015 | 18 | |
| 12 | 2016 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2020 | 13 | |
| 15 | AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. | 2019 | 12 |
| 16 | 2024 | 12 | |
| 17 | 2023 | 12 | |
| 18 | Natural Language Adversarial Defense through Synonym Encoding | 2021 | 11 |
| 19 | 2024 | 8 | |
| 20 | 2023 | 6 |
About Xiaosen Wang
Xiaosen Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Surfaces, Coatings and Films, Plant Science and Materials Chemistry, having authored 41 papers that have together received 828 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 (6 papers), Irrigation Practices and Water Management (5 papers), Smart Materials for Construction (5 papers), Icing and De-icing Technologies (4 papers), Polymer Nanocomposites and Properties (4 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Artificial Intelligence (466 citations), Signal Processing (128 citations), Hardware and Architecture (53 citations), Surfaces, Coatings and Films (52 citations) and Computer Vision and Pattern Recognition (148 citations). Xiaosen Wang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Kun He, Jingdong Wang, Qiang He, Xiao Chang, Zhong Deng, Wenzheng Zhang, Yichen Yang, Yihe Deng, Jianping Zhang and Zehua Xu. Their work appears in journals such as Agronomy, Scientia Horticulturae, Journal of Colloid and Interface Science, PLoS ONE and Surface Topography Metrology and Properties.
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.