Xiao-Long Ren
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- Complex Network Analysis Techniques 10
- Opinion Dynamics and Social Influence 8
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- Mental Health Research Topics 3
- Information Systems top 10%
- Recommender Systems and Techniques 2
- Spam and Phishing Detection 1
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- 2D Materials and Applications 2
- MXene and MAX Phase Materials 2
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- Gas Sensing Nanomaterials and Sensors 1
- Co-authors
- Nino Antulov-FantulinDirk HelbingLinyuan LüJianlin ZhangRun-Ran LiuYingjie XiaLi SheHao Wang
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsExperimental and Cognitive Psychology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Desalination (1 paper)Applied Surface Science (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Xiao-Long Ren
18 papers receiving 354 citations
Peers
Comparison fields: 5 of 73
- Statistical and Nonlinear Physics 271
- Computer Networks and Communications 83
- Experimental and Cognitive Psychology 45
- Information Systems 63
- Transportation 18
Countries citing papers authored by Xiao-Long Ren
This map shows the geographic impact of Xiao-Long Ren'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 Xiao-Long Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Long Ren more than expected).
Fields of papers citing papers by Xiao-Long Ren
This network shows the impact of papers produced by Xiao-Long Ren. 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 Xiao-Long Ren. The network helps show where Xiao-Long Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiao-Long Ren, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 0 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 138 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 25 | |
| 16 | 2017 | 3 | |
| 17 | Online Social Network Analysis and the Relation with Regional Economic Development | 2015 | 2 |
| 18 | 2014 | 30 | |
| 19 | 2014 | 26 | |
| 20 | 2014 | 102 |
About Xiao-Long Ren
Xiao-Long Ren is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Information Systems, having authored 20 papers that have together received 385 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (8 papers), Mental Health Research Topics (3 papers), 2D Materials and Applications (2 papers), MXene and MAX Phase Materials (2 papers), Recommender Systems and Techniques (2 papers), Spam and Phishing Detection (1 paper) and Gas Sensing Nanomaterials and Sensors (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (271 citations), Computer Networks and Communications (83 citations) and Experimental and Cognitive Psychology (45 citations). Xiao-Long Ren has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Nino Antulov-Fantulin, Dirk Helbing, Linyuan Lü, Jianlin Zhang, Run-Ran Liu, Yingjie Xia, Li She, Hao Wang, Leilei Wu and Hao Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Desalination and Applied Surface Science.
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.