Ning Ding

241 papers receiving 2.7k citations

Ning Ding's Hit Papers

GAN-based anomaly detection: A review 2022 · 240 citations
2400+1+2Years since publication50100150200

Peers

Ning Ding
Comparison fields: 5 of 178
  • Ocean Engineering 474
  • Safety, Risk, Reliability and Quality 269
  • Control and Systems Engineering 632
  • Transportation 160
  • Artificial Intelligence 460
Replace Peng Wang with:
Peng Wang China
Yi Liu China
Homayoun Najjaran Canada
Ronghui Zhang China
Qing Li China
Lefteri H. Tsoukalas United States
Jun Zhao China
Ting Zhang China
Ning Ding relative to Peng Wang China Peng Wang's profile →
Citations per field
00.5×1.5×2.4×
Peng Wang · 1×
Citations per year

Countries citing papers authored by Ning Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 271 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GAN-based anomaly detection: A review
Hit paper breakdown →
2022240
2 2020142
3 2021102
4 202087
5 202186
6 202069
7 201867
8 202051
9 201945
10 202045
11 202142
12 202140
13 202339
14 202239
15 202038
16 202336
17 202036
18 201836
19 202236
20 201734

About Ning Ding

Ning Ding is a scholar working on Mechanical Engineering, Biomedical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering and Ocean Engineering, having authored 271 papers that have together received 2.9k indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (30 papers), Soft Robotics and Applications (15 papers), Advanced machining processes and optimization (14 papers), Laser-Plasma Interactions and Diagnostics (13 papers), Robot Manipulation and Learning (11 papers), Traffic and Road Safety (11 papers), Advanced Surface Polishing Techniques (9 papers) and Traffic control and management (9 papers). The work is most often cited by research in Ocean Engineering (474 citations), Safety, Risk, Reliability and Quality (269 citations), Control and Systems Engineering (632 citations), Transportation (160 citations) and Artificial Intelligence (460 citations). Ning Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Chen, Yongming Han, Zhiqiang Geng, Aidong Zhang, Xuan Xia, Nan Li, Xizhou Pan, Lin Ma, Xing He and Xiao Yu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Measurement, Solar Energy, Journal of Safety Science and Resilience and Water Environment Research.

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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