Ping Tang

9.5k citations
228 papers · 4.5k · 1 hit paper · h-index 36

Impact in

Papers in

Ping Tang

213 papers receiving 4.4k citations

Ping Tang's Hit Papers

Remote Sensing Image Scene Classification Using CNN-CapsNet 2019 · 339 citations
3390+2+4Years since publication100200300

Peers

Ping Tang
Comparison fields: 5 of 174
  • Media Technology 1.0k
  • Computer Vision and Pattern Recognition 884
  • Cancer Research 511
  • Signal Processing 327
  • Atmospheric Science 519
Replace Alexander Zien with:
Alexander Zien Germany
Jaakko Astola Finland
Alexander Wong Canada
Iñaki Inza Spain
Alessandro Verri Italy
Bin Yu China
Michael S. Brown United States
Álex Rodríguez Italy
Qian Huang China
Yong Zhou China
Ping Tang relative to Alexander Zien Germany Alexander Zien's profile →
Citations per field
00.5×6.2×
Alexander Zien · 1×
Citations per year

Countries citing papers authored by Ping Tang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010495
2
Remote Sensing Image Scene Classification Using CNN-CapsNet
Hit paper breakdown →
2019339
3 2014154
4 2002132
5 2016125
6 2013110
7 2016100
8 201496
9 200885
10 201981
11 201279
12 201773
13 202070
14 201466
15 201564
16 201062
17 198862
18 201161
19 202159
20 200858

About Ping Tang

Ping Tang is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Ecology and Artificial Intelligence, having authored 228 papers that have together received 4.5k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (45 papers), Remote Sensing in Agriculture (32 papers), Remote Sensing and Land Use (31 papers), Advanced Image and Video Retrieval Techniques (18 papers), Breast Cancer Treatment Studies (16 papers), Numerical Methods and Algorithms (15 papers), Parallel Computing and Optimization Techniques (14 papers) and Advanced Image Fusion Techniques (12 papers). The work is most often cited by research in Media Technology (1.0k citations), Computer Vision and Pattern Recognition (884 citations), Cancer Research (511 citations), Signal Processing (327 citations) and Atmospheric Science (519 citations). Ping Tang has collaborated with scholars based in China, United States and France. Frequent co-authors include Lijun Zhao, Lianzhi Huo, Wei Zhang, Zheng Zhang, David G. Hicks, Gary M. Tse, Jianmin Wang, Changmiao Hu, Laurie Baxter and Lianping Xing. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Remote Sensing, IEEE Access and ACM Transactions on Mathematical Software.

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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