Ning Chen

478 citations
61 papers · 295 · h-index 10

Impact in

Papers in

Ning Chen

49 papers receiving 270 citations

Peers

Ning Chen
Comparison fields: 5 of 74
  • Energy Engineering and Power Technology 21
  • Computer Vision and Pattern Recognition 94
  • Control and Systems Engineering 48
  • Automotive Engineering 23
  • Electrical and Electronic Engineering 106
Replace Fawaz Alassery with:
Fawaz Alassery Saudi Arabia
Wenhuan Wu China
Lizhen Wu China
Ramya Kuppusamy India
Ștefan Gheorghe Romania
Akshita Gupta India
Ling Zhu China
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Citations per field
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202053
2
Analysis on Technical Line Losses of Power Grids and Countermeasures to Reduce Line Losses
200624
3
Dynamic Characteristic Analysis of Doubly-fed Induction Generator Low Voltage Ride-through Based on Crowbar Protection
201020
4 202014
5 202211
6 201411
7 200710
8 201410
9 20149
10 20169
11 20178
12 20187
13 20177
14 20077
15 20187
16 20206
17 20126
18 20245
19 20205
20 20245

About Ning Chen

Ning Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 61 papers that have together received 295 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Wind Turbine Control Systems (7 papers), Power Systems and Renewable Energy (7 papers), Advanced Neural Network Applications (5 papers), High-Voltage Power Transmission Systems (5 papers), HVDC Systems and Fault Protection (4 papers), Marine Biology and Environmental Chemistry (3 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (21 citations), Computer Vision and Pattern Recognition (94 citations), Control and Systems Engineering (48 citations), Automotive Engineering (23 citations) and Electrical and Electronic Engineering (106 citations). Ning Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Menglu Li, Yunhong Li, Yongquan Yang, Lingzhi Zhu, Yang Wu, Di Yang, Anna R. Karlin, G. Tong Zhou, Hua Qian and Yi Tang. Their work appears in journals such as Applied Sciences, Multimedia Tools and Applications, Complex & Intelligent Systems, Journal of Materials Engineering and Performance and The Journal of Engineering.

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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