Jiaming Yuan

452 citations
14 papers · 334 · h-index 9

Impact in

Papers in

    • Cryptography and Data Security 11
    • Privacy-Preserving Technologies in Data 5
    • Fuzzy Logic and Control Systems 1
    • Blockchain Technology Applications and Security 9
    • Cloud Data Security Solutions 6

Jiaming Yuan

13 papers receiving 324 citations

Peers

Jiaming Yuan
Comparison fields: 5 of 38
  • Information Systems 233
  • Artificial Intelligence 246
  • Computer Networks and Communications 65
  • Computer Science Applications 8
  • Computational Theory and Mathematics 22
Replace Lukas Renggli with:
Lukas Renggli Switzerland
Huilin Li China
Biwei Yan China
Zuoxia Yu China
Tijs van der Storm Netherlands
Hugo Pacheco Portugal
Jaime Font Spain
Sumeet Bajaj United States
Flávio Medeiros Brazil
Erez Waisbard Israel
Jiaming Yuan relative to Lukas Renggli Switzerland Lukas Renggli's profile →
Citations per field
00.5×20×40×60×81×
Lukas Renggli · 1×
Citations per year

Countries citing papers authored by Jiaming Yuan

Since Specialization
Citations

This map shows the geographic impact of Jiaming Yuan'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 Jiaming Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaming Yuan more than expected).

Fields of papers citing papers by Jiaming Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiaming Yuan. 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 Jiaming Yuan. The network helps show where Jiaming Yuan may publish in the future.

Co-authors

The 25 scholars most cited alongside Jiaming Yuan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiaming Yuan Line = papers co-authored together Jiaming Yuan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2020110
2 202052
3 202133
4 202230
5 202227
6 202025
7 202420
8 202119
9 202112
10 20193
11 20221
12 20231
13 20241
14 20240

About Jiaming Yuan

Jiaming Yuan is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Geriatrics and Gerontology, having authored 14 papers that have together received 334 indexed citations. Recurring topics across this work include Cryptography and Data Security (11 papers), Blockchain Technology Applications and Security (9 papers), Cloud Data Security Solutions (6 papers), Privacy-Preserving Technologies in Data (5 papers), Complexity and Algorithms in Graphs (3 papers), Fuzzy Logic and Control Systems (1 paper), Frailty in Older Adults (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Information Systems (233 citations), Artificial Intelligence (246 citations), Computer Networks and Communications (65 citations), Computer Science Applications (8 citations) and Computational Theory and Mathematics (22 citations). Jiaming Yuan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Robert H. Deng, Shengmin Xu, Jianfeng Wang, Xiaofeng Chen, Willy Susilo, Hongyang Yan, Ximeng Liu, Yingjiu Li, Jianting Ning and Xinyi Huang. Their work appears in journals such as Information Sciences, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Services Computing, Journal of Intelligent & Fuzzy Systems and IEEE Transactions on Vehicular Technology.

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.

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