Ding Ding

629 citations
30 papers · 417 · h-index 9

Impact in

    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security
    • Recommender Systems and Techniques
    • IoT and Edge/Fog Computing
    • Caching and Content Delivery
    • Distributed and Parallel Computing Systems
    • Software-Defined Networks and 5G

Papers in

    • Cloud Computing and Resource Management 13
    • Recommender Systems and Techniques 7
    • IoT and Edge/Fog Computing 9
    • Distributed and Parallel Computing Systems 7
    • Caching and Content Delivery 6
    • Age of Information Optimization 2

Ding Ding

26 papers receiving 401 citations

Peers

Ding Ding
Comparison fields: 5 of 54
  • Information Systems 292
  • Computer Networks and Communications 288
  • Computational Mathematics 6
  • Artificial Intelligence 86
  • Computer Vision and Pattern Recognition 53
Replace Marta Rukoz with:
Marta Rukoz France
Jiantao Zhou China
Xue Ouyang China
Yujie Xu China
Jiuyun Xu China
Hein Meling Norway
Nilabja Roy United States
Tobias Binz Germany
Tania Lorido-Botrán Spain
Tamer Z. Emara Egypt
Ding Ding relative to Marta Rukoz France Marta Rukoz's profile →
Citations per field
00.5×10×16.6×
Marta Rukoz · 1×
Citations per year

Countries citing papers authored by Ding Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ding Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020162
2 202246
3 202135
4 202132
5 202123
6 202317
7 202316
8 20239
9 20159
10 20248
11 20108
12 20247
13 20187
14 20157
15 20245
16 20085
17 20214
18 20243
19 20123
20 20092

About Ding Ding

Ding Ding is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 30 papers that have together received 417 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (9 papers), Distributed and Parallel Computing Systems (7 papers), Recommender Systems and Techniques (7 papers), Caching and Content Delivery (6 papers), Parallel Computing and Optimization Techniques (3 papers), Age of Information Optimization (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Information Systems (292 citations), Computer Networks and Communications (288 citations), Computational Mathematics (6 citations), Artificial Intelligence (86 citations) and Computer Vision and Pattern Recognition (53 citations). Ding Ding has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qian Yin, Xiaocong Fan, Fan Li, Siwei Luo, Lei Liu, Qiaofeng Liu, Hartmut Schmeck, Junzhou Luo, Dawei Zhang and Wenrui Ding. Their work appears in journals such as IEEE Transactions on Services Computing, Applied Intelligence, IEEE Transactions on Network and Service Management, Future Generation Computer Systems and Information Sciences.

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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