Dong Jin

1.8k citations
73 papers · 1.2k · h-index 19

Impact in

Papers in

Dong Jin

69 papers receiving 1.1k citations

Peers

Dong Jin
Comparison fields: 5 of 86
  • Computer Networks and Communications 645
  • Control and Systems Engineering 457
  • Signal Processing 137
  • Information Systems 235
  • Hardware and Architecture 51
Replace Carlo Mastroianni with:
Carlo Mastroianni Italy
Marzia Zaman Canada
Zhifeng Xiao United States
Jinyue Xia China
Haowen Tan China
Penghong Wang China
Zhiyang Li China
Hui Lu China
Daisuke Mashima Singapore
Dong Jin relative to Carlo Mastroianni Italy Carlo Mastroianni's profile →
Citations per field
00.5×7.9×
Carlo Mastroianni · 1×
Citations per year

Countries citing papers authored by Dong Jin

Since Specialization
Citations

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

Fields of papers citing papers by Dong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017124
2 201983
3 201682
4 201659
5 202158
6 200857
7
The virtual power system testbed and inter-testbed integration
200955
8
Enforcing customizable consistency properties in software-defined networks
201553
9 201143
10 201940
11 201540
12 201636
13 201136
14 201835
15 201032
16 201228
17 201627
18 202318
19 202218
20 201215

About Dong Jin

Dong Jin is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (32 papers), Smart Grid Security and Resilience (19 papers), Network Security and Intrusion Detection (17 papers), Cloud Computing and Resource Management (16 papers), Software System Performance and Reliability (13 papers), Network Traffic and Congestion Control (7 papers), Advanced Optical Network Technologies (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Computer Networks and Communications (645 citations), Control and Systems Engineering (457 citations), Signal Processing (137 citations), Information Systems (235 citations) and Hardware and Architecture (51 citations). Dong Jin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include David M. Nicol, Jiaqi Yan, Guanhua Yan, Jianhui Wang, Mohammad Shahidehpour, Zhiyi Li, Naoki Tanaka, Bo Chen, Tim Yardley and Matthew Caesar. Their work appears in journals such as ACM Transactions on Modeling and Computer Simulation, IEEE Transactions on Smart Grid, Journal of Simulation, Journal of Clinical Oncology and Computers & Security.

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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