Yan Ding

728 citations
56 papers · 509 · h-index 12

Impact in

    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security
    • Cloud Data Security Solutions
    • IoT and Edge/Fog Computing
    • Distributed and Parallel Computing Systems
    • Caching and Content Delivery

Papers in

    • Cloud Computing and Resource Management 16
    • Blockchain Technology Applications and Security 6
    • Cloud Data Security Solutions 6
    • IoT and Edge/Fog Computing 9
    • Advanced Data Storage Technologies 5
    • Software System Performance and Reliability 5

Yan Ding

47 papers receiving 480 citations

Peers

Yan Ding
Comparison fields: 5 of 80
  • Information Systems 289
  • Computer Networks and Communications 281
  • Artificial Intelligence 100
  • Hardware and Architecture 20
  • Health Information Management 10
Replace Juntao Gao with:
Juntao Gao China
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Citations per field
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Citations per year

Countries citing papers authored by Yan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yan Ding, 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 Yan Ding Line = papers co-authored together Yan Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015135
2 201336
3 202433
4 201430
5 201927
6 202521
7 202020
8 201320
9 201319
10 201718
11 202412
12 202012
13 201611
14 202010
15 20169
16 20199
17 20237
18 20217
19 20176
20 20135

About Yan Ding

Yan Ding is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 56 papers that have together received 509 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), IoT and Edge/Fog Computing (9 papers), Blockchain Technology Applications and Security (6 papers), Cloud Data Security Solutions (6 papers), Cryptography and Data Security (6 papers), Advanced Data Storage Technologies (5 papers), Software System Performance and Reliability (5 papers) and Security and Verification in Computing (5 papers). The work is most often cited by research in Information Systems (289 citations), Computer Networks and Communications (281 citations), Artificial Intelligence (100 citations), Hardware and Architecture (20 citations) and Health Information Management (10 citations). Yan Ding has collaborated with scholars based in China, Portugal and United Kingdom. Frequent co-authors include Jia Xi Zhao, Gaochao Xu, Liang Qing Hu, Xiaohui Wei, Kun Yang, Chunyi Wu, Liang Bo Hu, Xiaodong Fu, Chenlin Huang and Ming Yan Hu. Their work appears in journals such as Future Generation Computer Systems, ACS Applied Materials & Interfaces, Journal of Parallel and Distributed Computing, PLoS ONE and Pattern Recognition.

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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