Zhuo-Ming Ren
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 10%
- Economics and Econometrics top 10%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence
- Co-authors
- Jian-Guo LiuQiang GuoManuel Sebastian MarianiClaudio J. TessoneJordi BascompteAn ZengYi‐Cheng ZhangHao Liao
- Topics
- Complex Network Analysis Techniques (18 papers)Opinion Dynamics and Social Influence (12 papers)Economic and Technological Innovation (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsExperimental and Cognitive PsychologyComputer Networks and Communications
- Partner nations
- ChinaSwitzerlandAustralia
In The Last Decade
Zhuo-Ming Ren
28 papers receiving 603 citations
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 446
- Computer Networks and Communications 119
- Economics and Econometrics 78
- Experimental and Cognitive Psychology 77
- Artificial Intelligence 63
Countries citing papers authored by Zhuo-Ming Ren
This map shows the geographic impact of Zhuo-Ming 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 Zhuo-Ming Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuo-Ming Ren more than expected).
Fields of papers citing papers by Zhuo-Ming Ren
This network shows the impact of papers produced by Zhuo-Ming 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 Zhuo-Ming Ren. The network helps show where Zhuo-Ming Ren may publish in the future.
Co-authorship network of co-authors of Zhuo-Ming Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuo-Ming Ren. A scholar is included among the top collaborators of Zhuo-Ming Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhuo-Ming Ren. Zhuo-Ming Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 9 | |
| 16 | A time-respecting null model to explore the structure of growing networks. | 1 |
| 17 | A time-respecting null model for growing networks | 1 |
| 18 | 5 | |
| 19 | 41 | |
| 20 | 15 |
About Zhuo-Ming Ren
Zhuo-Ming Ren is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Computer Networks and Communications, having authored 31 papers that have together received 636 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (12 papers) and Economic and Technological Innovation (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (446 citations), Experimental and Cognitive Psychology (77 citations) and Computer Networks and Communications (119 citations). Zhuo-Ming Ren has collaborated with scholars based in China, Switzerland and Australia. Frequent co-authors include Jian-Guo Liu, Qiang Guo, Manuel Sebastian Mariani, Claudio J. Tessone, Jordi Bascompte, An Zeng, Yi‐Cheng Zhang, Hao Liao, Duanbing Chen and Yicheng Zhang. Their work appears in journals such as PLoS ONE, Physics Reports and Expert Systems with Applications.
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.