Dajiang Chen

2.2k citations
60 papers · 1.7k · h-index 21

Impact in

Papers in

Dajiang Chen

54 papers receiving 1.6k citations

Peers

Dajiang Chen
Comparison fields: 5 of 89
  • Computer Networks and Communications 718
  • Signal Processing 229
  • Information Systems 430
  • Artificial Intelligence 538
  • Computer Vision and Pattern Recognition 305
Replace Penglin Dai with:
Penglin Dai China
Xiaoqiang Ma China
Yong Zhang China
Yongdong Wu Singapore
Ricky Y. K. Kwok Hong Kong
Imran Memon China
Paul Patras United Kingdom
Suraj Sharma India
Mahdi Zareei Mexico
Weixian Liao United States
Dajiang Chen relative to Penglin Dai China Penglin Dai's profile →
Citations per field
00.5×3.0×
Penglin Dai · 1×
Citations per year

Countries citing papers authored by Dajiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dajiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018183
2 2019158
3 2016141
4 2020126
5 201793
6 201985
7 201364
8 201956
9 201750
10 201849
11 201949
12 202248
13 201846
14 202144
15 202040
16 202236
17 202034
18 202128
19 202425
20 201825

About Dajiang Chen

Dajiang Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (15 papers), Cryptography and Data Security (8 papers), IoT and Edge/Fog Computing (8 papers), Chaos-based Image/Signal Encryption (8 papers), Privacy-Preserving Technologies in Data (6 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Advanced Malware Detection Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (718 citations), Signal Processing (229 citations), Information Systems (430 citations), Artificial Intelligence (538 citations) and Computer Vision and Pattern Recognition (305 citations). Dajiang Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ning Zhang, Xuemin Shen, Zhiguang Qin, Zhen Qin, Peng Yang, Kuan Zhang, Laha Ale, Huici Wu, Xufei Mao and Tao Han. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, Wireless Communications and Mobile Computing, IEEE Network and IEEE Transactions on Dependable and Secure Computing.

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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