Dong Dai

722 citations
71 papers · 452 · h-index 12

Impact in

Papers in

Dong Dai

61 papers receiving 439 citations

Peers

Dong Dai
Comparison fields: 5 of 44
  • Computer Networks and Communications 347
  • Hardware and Architecture 86
  • Information Systems and Management 60
  • Information Systems 184
  • Computer Vision and Pattern Recognition 81
Replace Roberto R. Expósito with:
Roberto R. Expósito Spain
Neeraja J. Yadwadkar United States
Bogdan Nicolae United States
Paul Ruth United States
Samer Al-Kiswany Canada
Mohsine Eleuldj Morocco
Nezih Yigitbasi Netherlands
Nedyalko Borisov United States
Jinquan Dai United States
Dong Dai relative to Roberto R. Expósito Spain Roberto R. Expósito's profile →
Citations per field
00.5×3.3×
Roberto R. Expósito · 1×
Citations per year

Countries citing papers authored by Dong Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dong Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202045
2 201723
3 201820
4 202120
5 202319
6 201418
7 201417
8 201215
9 201415
10 201913
11 202111
12 201611
13 201410
14 202210
15 201810
16 201710
17 20229
18 20229
19 20169
20 20169

About Dong Dai

Dong Dai is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 71 papers that have together received 452 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (36 papers), Parallel Computing and Optimization Techniques (25 papers), Distributed and Parallel Computing Systems (22 papers), Cloud Computing and Resource Management (19 papers), Graph Theory and Algorithms (10 papers), Software System Performance and Reliability (9 papers), Scientific Computing and Data Management (9 papers) and Caching and Content Delivery (8 papers). The work is most often cited by research in Computer Networks and Communications (347 citations), Hardware and Architecture (86 citations), Information Systems and Management (60 citations), Information Systems (184 citations) and Computer Vision and Pattern Recognition (81 citations). Dong Dai has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yong Chen, Robert Ross, Mai Zheng, Dries Kimpe, Forrest Sheng Bao, Bing Xie, Wei Zhang, Di Zhang, Xuehai Zhou and Philip Carns. Their work appears in journals such as Parallel Computing, IEEE Transactions on Cloud Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers and Applied 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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