Ping Tan

50 papers receiving 322 citations

Peers

Ping Tan
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 16
  • Aerospace Engineering 100
  • Signal Processing 36
  • Computer Vision and Pattern Recognition 64
  • Atomic and Molecular Physics, and Optics 84
Replace O. Gutiérrez with:
O. Gutiérrez Spain
Jian Zhu China
Lee Streeter New Zealand
Tomoya Ishikawa Japan
F. Saéz de Adana Spain
Satoshi Miura Japan
Sami P. Kiminki Finland
Prasanna Rangarajan United States
Yusuke Ikeda Japan
Ping Tan relative to O. Gutiérrez Spain O. Gutiérrez's profile →
Citations per field
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O. Gutiérrez · 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201167
2 200942
3 202222
4 201321
5 202213
6 201011
7 201711
8 201911
9 201911
10 20218
11 20118
12 20237
13 20246
14 20146
15 20215
16 20115
17 20175
18 20145
19 20095
20 20145

About Ping Tan

Ping Tan is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Pulmonary and Respiratory Medicine and Radiation, having authored 63 papers that have together received 334 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (18 papers), Gyrotron and Vacuum Electronics Research (17 papers), Particle Accelerators and Free-Electron Lasers (16 papers), Radiation Therapy and Dosimetry (12 papers), Nuclear Physics and Applications (7 papers), Terahertz technology and applications (5 papers), 3D Shape Modeling and Analysis (4 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (16 citations), Aerospace Engineering (100 citations), Signal Processing (36 citations), Computer Vision and Pattern Recognition (64 citations) and Atomic and Molecular Physics, and Optics (84 citations). Ping Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiang Huang, Kaifeng Liu, Bin Qin, Tao Ma, Guangping Zhang, Bin Zhang, Hong Ma, Fulin Zhou, Li Shen and Yun Zhang. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Applied Superconductivity, Medical Physics, Biochemical Genetics and Nuclear Technology.

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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