Ning Chen

572 citations
38 papers · 415 · h-index 10

Impact in

Papers in

Ning Chen

32 papers receiving 408 citations

Peers

Ning Chen
Comparison fields: 5 of 57
  • Computer Networks and Communications 223
  • Computer Vision and Pattern Recognition 167
  • Software 24
  • Computer Science Applications 27
  • Information Systems 104
Replace Nitinder Mohan with:
Nitinder Mohan Germany
Shikhar Verma Japan
Guangquan Xu China
Munehiro Takimoto Japan
Bong Jun Ko United States
Yalin Liu China
Yuxuan Yang China
Teruaki Kitasuka Japan
Xiaolin Fang China
Tiehua Zhang Australia
Ning Chen relative to Nitinder Mohan Germany Nitinder Mohan's profile →
Citations per field
00.5×10×13.5×
Nitinder Mohan · 1×
Citations per year

Countries citing papers authored by Ning Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ning Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2 201650
3 202142
4 201235
5 202025
6 202024
7 201915
8 202212
9 202312
10 20229
11 20236
12 20205
13 20234
14 20234
15 20144
16 20214
17 20063
18 20233
19 20233
20 20242

About Ning Chen

Ning Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 38 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), IoT and Edge/Fog Computing (9 papers), Image and Video Quality Assessment (5 papers), Age of Information Optimization (5 papers), Image Enhancement Techniques (4 papers), Video Surveillance and Tracking Methods (4 papers), Visual Attention and Saliency Detection (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (223 citations), Computer Vision and Pattern Recognition (167 citations), Software (24 citations), Computer Science Applications (27 citations) and Information Systems (104 citations). Ning Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Pengpeng Liang, Yang You, Haibin Ling, Roger Zimmermann, Yu Chen, Sanglu Lu, Sunghun Kim, Zhuzhong Qian, Sheng Zhang and Jie Wu. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, Computer Networks and Computers in Industry.

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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