Ping Tan

25 papers receiving 220 citations

Peers

Ping Tan
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 50
  • Media Technology 26
  • Computer Vision and Pattern Recognition 50
  • Mechanical Engineering 83
  • Civil and Structural Engineering 44
Replace Nestor Arana-Arexolaleiba with:
Nestor Arana-Arexolaleiba Spain
Yinghui Kong China
C. Nagaraju India
Xiaofeng Zhang China
Saad Ashraf United States
Hao Deng China
Tomasz Andrysiak Poland
Wanneng Wu China
Ruigang Wang Australia
Ping Tan relative to Nestor Arana-Arexolaleiba Spain Nestor Arana-Arexolaleiba's profile →
Citations per field
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Nestor Arana-Arexolaleiba · 1×
Citations per year

Countries citing papers authored by Ping Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 202040
3 201625
4 202222
5 201513
6 201712
7 201312
8 202311
9 20149
10 20185
11 20224
12 20203
13 20223
14 20233
15 20222
16 20222
17 20232
18 20182
19 20241
20 20251

About Ping Tan

Ping Tan is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering and Molecular Biology, having authored 29 papers that have together received 225 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (5 papers), Electrical Contact Performance and Analysis (4 papers), Railway Engineering and Dynamics (4 papers), Magnetic Properties and Applications (3 papers), Metallurgy and Material Forming (2 papers), Induction Heating and Inverter Technology (2 papers), Hand Gesture Recognition Systems (2 papers) and RFID technology advancements (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (50 citations), Media Technology (26 citations), Computer Vision and Pattern Recognition (50 citations), Mechanical Engineering (83 citations) and Civil and Structural Engineering (44 citations). Ping Tan has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Youtong Fang, Jin Ding, Jien Ma, Xufeng Li, Yong Ning, Zheng‐Guang Wu, Feijie Wang, Yingfeng Chen, Jing Zhou and Yong-Zai Lu. Their work appears in journals such as Journal of Zhejiang University. Science A, Mathematical Methods in the Applied Sciences, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Systems Man and Cybernetics Systems and IEEE Transactions on Industry Applications.

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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