Wenqi Wei
Impact in
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
-
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Adversarial Robustness in Machine Learning 21
- Privacy-Preserving Technologies in Data 18
- Cryptography and Data Security 11
- Anomaly Detection Techniques and Applications 8
- Advanced Graph Neural Networks 5
- Machine Learning and Data Classification 5
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- Advanced Malware Detection Techniques 8
- Co-authors
- Ling LiuStacey TruexMehmet Emre GürsoyKa-Ho ChowYanzhao WuLei YuA. D. SaundersSilvia Spezzaferri
- Journals
- IEEE Transactions on Services Computing (2 papers)ACM Computing Surveys (2 papers)IEEE Transactions on Information Forensics and Security (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)Information Sciences (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wenqi Wei
67 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 1.1k
- Computer Science Applications 99
- Health Informatics 24
- Atmospheric Science 228
- Paleontology 84
Countries citing papers authored by Wenqi Wei
This map shows the geographic impact of Wenqi Wei'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 Wenqi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenqi Wei more than expected).
Fields of papers citing papers by Wenqi Wei
This network shows the impact of papers produced by Wenqi Wei. 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 Wenqi Wei. The network helps show where Wenqi Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenqi Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 23 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 12 | |
| 17 | 2021 | 48 | |
| 18 | 2020 | 21 | |
| 19 | 2020 | 18 | |
| 20 | 2019 | 186 |
About Wenqi Wei
Wenqi Wei is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Virology and Paleontology, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (21 papers), Privacy-Preserving Technologies in Data (18 papers), Cryptography and Data Security (11 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Neural Network Applications (8 papers), Advanced Malware Detection Techniques (8 papers), Advanced Graph Neural Networks (5 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Science Applications (99 citations), Health Informatics (24 citations), Atmospheric Science (228 citations) and Paleontology (84 citations). Wenqi Wei has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ling Liu, Stacey Truex, Mehmet Emre Gürsoy, Ka-Ho Chow, Yanzhao Wu, Lei Yu, A. D. Saunders, Silvia Spezzaferri, Hans Christian Larsen and Peter D. Clift. Their work appears in journals such as IEEE Transactions on Services Computing, ACM Computing Surveys, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing and Information Sciences.
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.