Hongjun Dai

702 citations
65 papers · 519 · h-index 14

Impact in

Papers in

Hongjun Dai

58 papers receiving 493 citations

Peers

Hongjun Dai
Comparison fields: 5 of 93
  • Computer Networks and Communications 156
  • Hardware and Architecture 35
  • Information Systems 108
  • Environmental Engineering 55
  • Computer Vision and Pattern Recognition 71
Replace Sándor Molnár with:
Sándor Molnár Hungary
Xing Yang China
Peter Chapman United Kingdom
Jianwu Zhang China
Rodrigo Filev Maia Brazil
Michael Sonnenschein Germany
Chang Seob Kim South Korea
Muhammad Aqib Pakistan
Igor G. Olaizola Spain
Hongjun Dai relative to Sándor Molnár Hungary Sándor Molnár's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hongjun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201640
3 201733
4 201928
5 201527
6 201722
7 201318
8 202018
9 202018
10 201017
11 200117
12 201517
13 201215
14 200914
15 201613
16 201712
17 20159
18 20169
19 20178
20 20148

About Hongjun Dai

Hongjun Dai is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence, having authored 65 papers that have together received 519 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (7 papers), Embedded Systems Design Techniques (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Security in Wireless Sensor Networks (5 papers), Environmental Impact and Sustainability (5 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (156 citations), Hardware and Architecture (35 citations), Information Systems (108 citations), Environmental Engineering (55 citations) and Computer Vision and Pattern Recognition (71 citations). Hongjun Dai has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Tao Sun, Tingting Wang, Zhiping Jia, Jianqing Ding, Meikang Qiu, Chao Lei, Xinmin Lu, Tianzhou Chen, Kun Zhang and Rui Li. Their work appears in journals such as Sustainability, Journal of Systems Architecture, Journal of Zhejiang University. Science A, Information Sciences and Environmental Science and Pollution Research.

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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