Shuai Wang
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Networks and Communications top 5%
- Cancer Research
- Topics
- Complex Network Analysis Techniques (33 papers)Opinion Dynamics and Social Influence (18 papers)Evolutionary Game Theory and Cooperation (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsArtificial Intelligence
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shuai Wang
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 129
- Statistical and Nonlinear Physics 415
- Artificial Intelligence 274
- Molecular Biology 227
- Computer Networks and Communications 211
- Cancer Research 111
Countries citing papers authored by Shuai Wang
This map shows the geographic impact of Shuai Wang'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 Shuai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Wang more than expected).
Fields of papers citing papers by Shuai Wang
This network shows the impact of papers produced by Shuai Wang. 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 Shuai Wang. The network helps show where Shuai Wang may publish in the future.
Co-authorship network of co-authors of Shuai Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Wang. A scholar is included among the top collaborators of Shuai Wang 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 Shuai Wang. Shuai Wang 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 | 1 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 50 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 16 | |
| 13 | Property and application of deep eutectic solvents | 2 |
| 14 | Research on Web Page Classification Algorithm Based on Deep Learning and Part of Speech Tagging | 1 |
| 15 | 1 | |
| 16 | 59 | |
| 17 | 2 | |
| 18 | 35 | |
| 19 | Recycling and Life Cycle Analysis of Rare Earth Elements | 1 |
| 20 | 23 |
About Shuai Wang
Shuai Wang is a scholar working on Statistical and Nonlinear Physics, General Engineering and Computer Networks and Communications, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (33 papers), Opinion Dynamics and Social Influence (18 papers) and Evolutionary Game Theory and Cooperation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (415 citations), Computer Networks and Communications (211 citations) and Artificial Intelligence (274 citations). Shuai Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jing Liu, Yaochu Jin, Xiaojun Tan, Jing Liu, Penghui Liu, Mingxing Zhou, Lunche Wang, Ming Cai, Qian Cao and Wei Wang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.
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.