Fang Zhou
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Molecular Biology
- Co-authors
- Hannu ToivonenLinyuan LüManuel Sebastian MarianiYongbo YuanMingyuan ZhangQingwei XuYi LüYunlong Shan
- Topics
- Complex Network Analysis Techniques (11 papers)Opinion Dynamics and Social Influence (6 papers)Aerogels and thermal insulation (3 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Fang Zhou
35 papers receiving 305 citations
Peers
Comparison fields: 5 of 97
- Statistical and Nonlinear Physics 117
- Artificial Intelligence 65
- Computer Vision and Pattern Recognition 57
- Computer Networks and Communications 45
- Molecular Biology 36
Countries citing papers authored by Fang Zhou
This map shows the geographic impact of Fang Zhou'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 Fang Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Zhou more than expected).
Fields of papers citing papers by Fang Zhou
This network shows the impact of papers produced by Fang Zhou. 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 Fang Zhou. The network helps show where Fang Zhou may publish in the future.
Co-authorship network of co-authors of Fang Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Zhou. A scholar is included among the top collaborators of Fang Zhou 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 Fang Zhou. Fang Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 30 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 21 | |
| 14 | 7 | |
| 15 | 45 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | WHY DO USERS BECOME INACTIVE ON ONLINE SOCIAL NETWORKS? A FRIENDSHIP PERSPECTIVE | 2 |
| 19 | Methods for Network Abstraction | 2 |
| 20 | 28 |
About Fang Zhou
Fang Zhou is a scholar working on Statistical and Nonlinear Physics, Industrial and Manufacturing Engineering and Communication, having authored 38 papers that have together received 320 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (6 papers) and Aerogels and thermal insulation (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (117 citations), Signal Processing (30 citations) and Computer Vision and Pattern Recognition (57 citations). Fang Zhou has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Hannu Toivonen, Linyuan Lü, Manuel Sebastian Mariani, Yongbo Yuan, Mingyuan Zhang, Qingwei Xu, Yi Lü, Yunlong Shan, Guangji Wang and Jing Wang. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Food Chemistry.
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.