Feicheng Ma
- Sociology and Political Science top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Communication top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Wenjing PianBaitong ChenYing DingSatoshi TsutsuiGuoyin JiangMin ZhangJennifer ShangPatrick Y.K. Chau
- Topics
- Misinformation and Its Impacts (10 papers)scientometrics and bibliometrics research (10 papers)Complex Network Analysis Techniques (9 papers)
- Journals
- Journal of Cleaner ProductionComputers in Human BehaviorJournal of Environmental Management
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feicheng Ma
76 papers receiving 971 citations
Peers
Comparison fields: 5 of 141
- Sociology and Political Science 332
- Artificial Intelligence 178
- Information Systems 150
- Communication 148
- Statistical and Nonlinear Physics 112
Countries citing papers authored by Feicheng Ma
This map shows the geographic impact of Feicheng Ma'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 Feicheng Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feicheng Ma more than expected).
Fields of papers citing papers by Feicheng Ma
This network shows the impact of papers produced by Feicheng Ma. 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 Feicheng Ma. The network helps show where Feicheng Ma may publish in the future.
Co-authorship network of co-authors of Feicheng Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Feicheng Ma. A scholar is included among the top collaborators of Feicheng Ma 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 Feicheng Ma. Feicheng Ma 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 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 39 | |
| 9 | 20 | |
| 10 | 17 | |
| 11 | 107 | |
| 12 | 8 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 67 | |
| 16 | A Partial Information Sharing Incentive Pricing Model with Demand Uncertainty in Dual-Channel Supply Chain | 0 |
| 17 | Research on Construction Methods of Network User Behavioral Model | 0 |
| 18 | An Incentive Model of Information Sharing in Supply Chain with Demand Uncertainty | 4 |
| 19 | On paradigm of research knowledge management:A bibliometric analysis | 18 |
| 20 | 3 |
About Feicheng Ma
Feicheng Ma is a scholar working on Communication, Statistics, Probability and Uncertainty and Library and Information Sciences, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (10 papers), scientometrics and bibliometrics research (10 papers) and Complex Network Analysis Techniques (9 papers). The work is most often cited by research in Communication (148 citations), Statistics, Probability and Uncertainty (90 citations) and Information Systems and Management (82 citations). Feicheng Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wenjing Pian, Baitong Chen, Ying Ding, Satoshi Tsutsui, Guoyin Jiang, Min Zhang, Jennifer Shang, Patrick Y.K. Chau, Yating Li and Tingting Jiang. Their work appears in journals such as Journal of Cleaner Production, Computers in Human Behavior and Journal of Environmental Management.
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.