Yanmin Gong
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Aerospace Engineering top 5%
- Information Systems top 2%
- Topics
- Privacy-Preserving Technologies in Data (35 papers)Mobile Crowdsensing and Crowdsourcing (14 papers)Internet Traffic Analysis and Secure E-voting (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsScientific Reports
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Yanmin Gong
63 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 748
- Computer Networks and Communications 570
- Electrical and Electronic Engineering 459
- Aerospace Engineering 313
- Information Systems 297
Countries citing papers authored by Yanmin Gong
This map shows the geographic impact of Yanmin Gong'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 Yanmin Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanmin Gong more than expected).
Fields of papers citing papers by Yanmin Gong
This network shows the impact of papers produced by Yanmin Gong. 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 Yanmin Gong. The network helps show where Yanmin Gong may publish in the future.
Co-authorship network of co-authors of Yanmin Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Yanmin Gong. A scholar is included among the top collaborators of Yanmin Gong 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 Yanmin Gong. Yanmin Gong 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 | 10 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 58 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 47 | |
| 13 | 32 | |
| 14 | 9 | |
| 15 | 22 | |
| 16 | Personalized Federated Learning With Differential Privacybreakdown → | 222 |
| 17 | Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computingbreakdown → | 387 |
| 18 | 14 | |
| 19 | 9 | |
| 20 | 11 |
About Yanmin Gong
Yanmin Gong is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (35 papers), Mobile Crowdsensing and Crowdsourcing (14 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). The work is most often cited by research in Computer Science Applications (214 citations), Health Informatics (37 citations) and Computer Networks and Communications (570 citations). Yanmin Gong has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yuanxiong Guo, Yuguang Fang, Shimin Gong, Rui Hu, Na Zhao, M. Zhang, Hongning Li, Qingqi Pei, Ying Cai and Pramod P. Khargonekar. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Scientific Reports.
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.