Xiaowei Huang
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Software top 5%
- Electrical and Electronic Engineering
- Co-authors
- Wenjie RuanYoucheng SunDaniel KroeningJames J. SharpMin WuFanyu ZhangXinping YiRon van der Meyden
- Topics
- Adversarial Robustness in Machine Learning (36 papers)Formal Methods in Verification (24 papers)Logic, Reasoning, and Knowledge (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceThe Science of The Total Environment
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Xiaowei Huang
151 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 898
- Computer Vision and Pattern Recognition 247
- Computational Theory and Mathematics 182
- Software 152
- Electrical and Electronic Engineering 130
Countries citing papers authored by Xiaowei Huang
This map shows the geographic impact of Xiaowei Huang'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 Xiaowei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Huang more than expected).
Fields of papers citing papers by Xiaowei Huang
This network shows the impact of papers produced by Xiaowei Huang. 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 Xiaowei Huang. The network helps show where Xiaowei Huang may publish in the future.
Co-authorship network of co-authors of Xiaowei Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Huang. A scholar is included among the top collaborators of Xiaowei Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaowei Huang. Xiaowei Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 10 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 3 |
About Xiaowei Huang
Xiaowei Huang is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 173 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (36 papers), Formal Methods in Verification (24 papers) and Logic, Reasoning, and Knowledge (22 papers). The work is most often cited by research in Software (152 citations), Artificial Intelligence (898 citations) and Health Informatics (29 citations). Xiaowei Huang has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Wenjie Ruan, Youcheng Sun, Daniel Kroening, James J. Sharp, Min Wu, Fanyu Zhang, Xinping Yi, Ron van der Meyden, Marta Kwiatkowska and Jianming Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.
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.