Rongjun Chen

868 citations
59 papers · 513 · h-index 13

Impact in

Papers in

Rongjun Chen

53 papers receiving 495 citations

Peers

Rongjun Chen
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 190
  • Media Technology 63
  • Human-Computer Interaction 29
  • Signal Processing 52
  • Industrial and Manufacturing Engineering 40
Replace Zhuo Yang with:
Zhuo Yang China
Jamal Ahmad Dargham Malaysia
Xin Feng China
K. Vasanth India
Shuren Zhou China
Sonain Jamil South Korea
R. R. Sedamkar India
Mahmut Kaya Türkiye
Nanfeng Xiao China
B. S. Sathish India
Rongjun Chen relative to Zhuo Yang China Zhuo Yang's profile →
Citations per field
00.5×2.7×
Zhuo Yang · 1×
Citations per year

Countries citing papers authored by Rongjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Rongjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 202260
3 202150
4 202331
5 202327
6 201921
7 202120
8 201619
9 202317
10 202014
11 202414
12 201813
13 201812
14 200810
15 20219
16 20209
17 20209
18 20248
19 20188
20 20247

About Rongjun Chen

Rongjun Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology, Information Systems and Electrical and Electronic Engineering, having authored 59 papers that have together received 513 indexed citations. Recurring topics across this work include QR Code Applications and Technologies (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Scheduling and Optimization Algorithms (6 papers), Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers), Image Processing Techniques and Applications (5 papers), Optimization and Search Problems (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Media Technology (63 citations), Human-Computer Interaction (29 citations), Signal Processing (52 citations) and Industrial and Manufacturing Engineering (40 citations). Rongjun Chen has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Huimin Zhao, Jinchang Ren, Hong‐Zhou Tan, Shiping Wang, Guobao Xiao, Xiaoyong Liu, Xu Lu, Jiawen Li, Jin Zhan and Dongying Li. Their work appears in journals such as Electronics, Sustainability, IEEE Sensors Journal, IEEE Internet of Things Journal and Sensors.

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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