Xiaobin Rui
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Complex Network Analysis Techniques 19
- Opinion Dynamics and Social Influence 14
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- Advanced Graph Neural Networks 12
- Text and Document Classification Technologies 3
- Co-authors
- Zhixiao Wang (25 shared papers)Guan Yuan (5 shared papers)Chengcheng Sun (7 shared papers)Na Bai (3 shared papers)Zechao Li (1 shared paper)Xinguang Xiang (1 shared paper)Philip S. Yu (8 shared papers)Tarik Hadzibeganovic (2 shared papers)
- Journals
- Computing (4 papers)Knowledge-Based Systems (3 papers)Physica A Statistical Mechanics and its Applications (3 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Xiaobin Rui
24 papers receiving 361 citations
Peers
Comparison fields: 5 of 59
- Statistical and Nonlinear Physics 231
- Artificial Intelligence 134
- Modeling and Simulation 13
- Transportation 17
- Computer Networks and Communications 57
Countries citing papers authored by Xiaobin Rui
This map shows the geographic impact of Xiaobin Rui'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 Xiaobin Rui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Rui more than expected).
Fields of papers citing papers by Xiaobin Rui
This network shows the impact of papers produced by Xiaobin Rui. 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 Xiaobin Rui. The network helps show where Xiaobin Rui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin Rui, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 51 | |
| 2 | 2023 | 42 | |
| 3 | 2018 | 40 | |
| 4 | 2019 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2019 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Xiaobin Rui
Xiaobin Rui is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science and Molecular Biology, having authored 27 papers that have together received 364 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers), Advanced Graph Neural Networks (12 papers), Peer-to-Peer Network Technologies (3 papers), Misinformation and Its Impacts (3 papers), Text and Document Classification Technologies (3 papers), Network Security and Intrusion Detection (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (231 citations), Artificial Intelligence (134 citations), Modeling and Simulation (13 citations), Transportation (17 citations) and Computer Networks and Communications (57 citations). Xiaobin Rui has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Zhixiao Wang, Guan Yuan, Chengcheng Sun, Na Bai, Zechao Li, Xinguang Xiang, Philip S. Yu, Tarik Hadzibeganovic, Xiang Lin and Xiaodong Yang. Their work appears in journals such as Computing, Knowledge-Based Systems, Physica A Statistical Mechanics and its Applications, ACM Transactions on Knowledge Discovery from Data and IEEE Access.
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.