Xiaojun Chen
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
Papers in
-
- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 7
- Internet Traffic Analysis and Secure E-voting 5
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Stochastic Gradient Optimization Techniques 3
- Adversarial Robustness in Machine Learning 3
-
- Spam and Phishing Detection 3
- Co-authors
- Dakui Wang (5 shared papers)Jinqiao Shi (9 shared papers)Yan-Gang Sun (3 shared papers)Qi Cheng (1 shared paper)Ning-long Xu (2 shared papers)Chuang Zhang (3 shared papers)Binxing Fang (2 shared papers)Weiping Wang (1 shared paper)
- Journals
- IEEE Transactions on Information Forensics and Security (2 papers)Information Sciences (1 paper)Optics Communications (1 paper)Alexandria Engineering Journal (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xiaojun Chen
30 papers receiving 327 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 232
- Health Informatics 6
- Dermatology 32
- Sensory Systems 17
- Computer Networks and Communications 79
Countries citing papers authored by Xiaojun Chen
This map shows the geographic impact of Xiaojun Chen'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 Xiaojun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Chen more than expected).
Fields of papers citing papers by Xiaojun Chen
This network shows the impact of papers produced by Xiaojun Chen. 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 Xiaojun Chen. The network helps show where Xiaojun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Chen, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2018 | 46 | |
| 3 | 2013 | 40 | |
| 4 | 2016 | 27 | |
| 5 | 2021 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2021 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2013 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2010 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2016 | 4 |
About Xiaojun Chen
Xiaojun Chen is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Cellular and Molecular Neuroscience and Signal Processing, having authored 33 papers that have together received 337 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (7 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Topic Modeling (4 papers), Spam and Phishing Detection (3 papers), Natural Language Processing Techniques (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Artificial Intelligence (232 citations), Health Informatics (6 citations), Dermatology (32 citations), Sensory Systems (17 citations) and Computer Networks and Communications (79 citations). Xiaojun Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Dakui Wang, Jinqiao Shi, Yan-Gang Sun, Qi Cheng, Ning-long Xu, Chuang Zhang, Binxing Fang, Weiping Wang, Hui Li and Jun Yin. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Information Sciences, Optics Communications, Alexandria Engineering Journal and Journal of Neuroscience.
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.