Ning Chen

115 papers receiving 1.5k citations

Ning Chen's Hit Papers

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios 2024 · 102 citations
1020+1Years since publication255075100

Peers

Ning Chen
Comparison fields: 5 of 125
  • Control and Systems Engineering 403
  • Civil and Structural Engineering 296
  • Modeling and Simulation 60
  • Polymers and Plastics 169
  • Automotive Engineering 146
Replace Gang Shen with:
Gang Shen China
Bing Feng Ng Singapore
Xingyuan Wang China
Dazhong Wang China
Wenxiang Xu China
Limin Li China
Yves Candau France
Chunliang Zhang China
Yao Lu China
Ning Chen relative to Gang Shen China Gang Shen's profile →
Citations per field
00.5×2×3×4.3×
Gang Shen · 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 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003131
2
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Hit paper breakdown →
2024102
3 202391
4 202273
5 202065
6 202162
7 201454
8 202053
9 201747
10 201743
11 201842
12 201940
13 202239
14 201837
15 202136
16 201835
17 200728
18 202421
19 202521
20 202021

About Ning Chen

Ning Chen is a scholar working on Control and Systems Engineering, Automotive Engineering, Civil and Structural Engineering, Modeling and Simulation and Mechanics of Materials, having authored 126 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (17 papers), Fractional Differential Equations Solutions (12 papers), Vibration Control and Rheological Fluids (12 papers), Nonlinear Differential Equations Analysis (9 papers), Mechanical Engineering and Vibrations Research (7 papers), Advanced Control Systems Design (7 papers), Composite Structure Analysis and Optimization (7 papers) and Geotechnical Engineering and Underground Structures (6 papers). The work is most often cited by research in Control and Systems Engineering (403 citations), Civil and Structural Engineering (296 citations), Modeling and Simulation (60 citations), Polymers and Plastics (169 citations) and Automotive Engineering (146 citations). Ning Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoan Yan, Dong Liang Jiang, Maoyou Ye, Ling Xiang, Yinxi Zhang, Yong Zhang, Chaoying Wan, Xiaomei Xu, Yandong Chen and Minping Jia. Their work appears in journals such as Shock and Vibration, Frontiers of Mechanical Engineering, Journal of Applied Polymer Science, International Journal of Mechanical Sciences and Journal of Hydraulic 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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