Xiaolong Zheng
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- Complex Network Analysis Techniques 27
- Opinion Dynamics and Social Influence 18
- Applied Psychology top 5%
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 9
- Adversarial Robustness in Machine Learning 8
- Domain Adaptation and Few-Shot Learning 7
- Modeling and Simulation top 5%
- Information Systems top 5%
- Spam and Phishing Detection 7
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- Complex Systems and Time Series Analysis 8
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- Face and Expression Recognition 7
- Co-authors
- Daniel ZengFei‐Yue WangYunji LiangScott J. LeischowChuan LuoZhu ZhangPeng ZhengRuizhi Zhang
- Journals
- IEEE Transactions on Computational Social Systems (11 papers)IEEE Intelligent Systems (7 papers)Physica A Statistical Mechanics and its Applications (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaolong Zheng
123 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 161
- Statistical and Nonlinear Physics 249
- Applied Psychology 87
- Artificial Intelligence 353
- Modeling and Simulation 49
- Information Systems 232
Countries citing papers authored by Xiaolong Zheng
This map shows the geographic impact of Xiaolong Zheng'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 Xiaolong Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolong Zheng more than expected).
Fields of papers citing papers by Xiaolong Zheng
This network shows the impact of papers produced by Xiaolong Zheng. 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 Xiaolong Zheng. The network helps show where Xiaolong Zheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaolong Zheng, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 9 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 21 | |
| 17 | 2022 | 0 | |
| 18 | 2021 | 15 | |
| 19 | 2018 | 89 | |
| 20 | 2016 | 31 |
About Xiaolong Zheng
Xiaolong Zheng is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Vision and Pattern Recognition, Modeling and Simulation and Information Systems, having authored 137 papers that have together received 1.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (18 papers), Advanced Graph Neural Networks (9 papers), Adversarial Robustness in Machine Learning (8 papers), Complex Systems and Time Series Analysis (8 papers), Spam and Phishing Detection (7 papers), Face and Expression Recognition (7 papers) and Domain Adaptation and Few-Shot Learning (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (249 citations), Applied Psychology (87 citations), Artificial Intelligence (353 citations), Modeling and Simulation (49 citations) and Information Systems (232 citations). Xiaolong Zheng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Daniel Zeng, Fei‐Yue Wang, Yunji Liang, Scott J. Leischow, Chuan Luo, Zhu Zhang, Peng Zheng, Ruizhi Zhang, Saike He and Jingyu Li. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Intelligent Systems, Physica A Statistical Mechanics and its Applications, Knowledge-Based Systems and IEEE Transactions on Artificial Intelligence.
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.