Jinfang Sheng
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Experimental and Cognitive Psychology top 10%
- Information Systems top 10%
- Co-authors
- Bin WangAman UllahZejun SunJun LongNasrullah KhanJunming ShaoGuihua DuanLong Chen
- Topics
- Complex Network Analysis Techniques (30 papers)Opinion Dynamics and Social Influence (24 papers)Advanced Graph Neural Networks (13 papers)
- Cited by
- Statistical and Nonlinear PhysicsExperimental and Cognitive PsychologyComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- ChinaPakistanSaudi Arabia
In The Last Decade
Jinfang Sheng
68 papers receiving 791 citations
Peers
Comparison fields: 5 of 108
- Statistical and Nonlinear Physics 486
- Artificial Intelligence 190
- Computer Networks and Communications 177
- Experimental and Cognitive Psychology 117
- Information Systems 91
Countries citing papers authored by Jinfang Sheng
This map shows the geographic impact of Jinfang Sheng'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 Jinfang Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinfang Sheng more than expected).
Fields of papers citing papers by Jinfang Sheng
This network shows the impact of papers produced by Jinfang Sheng. 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 Jinfang Sheng. The network helps show where Jinfang Sheng may publish in the future.
Co-authorship network of co-authors of Jinfang Sheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jinfang Sheng. A scholar is included among the top collaborators of Jinfang Sheng 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 Jinfang Sheng. Jinfang Sheng 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 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 72 | |
| 16 | 10 | |
| 17 | Big data processing: A graduate course for engineering students | 2 |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 3 |
About Jinfang Sheng
Jinfang Sheng is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Information Systems, having authored 73 papers that have together received 830 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (30 papers), Opinion Dynamics and Social Influence (24 papers) and Advanced Graph Neural Networks (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (486 citations), Experimental and Cognitive Psychology (117 citations) and Computer Networks and Communications (177 citations). Jinfang Sheng has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Bin Wang, Aman Ullah, Zejun Sun, Jun Long, Nasrullah Khan, Junming Shao, Guihua Duan, Long Chen, Junkai Zhang and Yihan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific 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.