Ping Tang

9.5k total citations · 1 hit paper
223 papers, 4.5k citations indexed

About

Ping Tang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Ping Tang has authored 223 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Media Technology, 45 papers in Computer Vision and Pattern Recognition and 32 papers in Atmospheric Science. Recurrent topics in Ping Tang's work include Remote-Sensing Image Classification (45 papers), Remote Sensing in Agriculture (31 papers) and Remote Sensing and Land Use (29 papers). Ping Tang is often cited by papers focused on Remote-Sensing Image Classification (45 papers), Remote Sensing in Agriculture (31 papers) and Remote Sensing and Land Use (29 papers). Ping Tang collaborates with scholars based in China, United States and France. Ping Tang's co-authors include Lijun Zhao, Lianzhi Huo, Wei Zhang, Zheng Zhang, David G. Hicks, Gary M. Tse, Jianmin Wang, Laurie Baxter, Changmiao Hu and Lianping Xing and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ping Tang

212 papers receiving 4.3k citations

Hit Papers

Remote Sensing Image Scene Classification Using CNN-CapsNet 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Remote Sensing Image Scene Classification Using CNN-CapsNet
    2019 333 citations Ping Tang, Lijun Zhao et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ping Tang China 36 1.0k 889 819 674 623 223 4.5k
Alexander Wong Canada 33 1.1k 1.1× 2.8k 3.1× 477 0.6× 1.3k 1.9× 157 0.3× 265 7.1k
Rafael Molina Spain 47 1.5k 1.5× 3.0k 3.4× 1.7k 2.0× 1.2k 1.8× 604 1.0× 340 8.7k
Yong Zhou China 29 579 0.6× 1.4k 1.6× 48 0.1× 743 1.1× 324 0.5× 279 3.8k
Alexander Zien Germany 25 361 0.4× 1.9k 2.1× 163 0.2× 1.5k 2.2× 374 0.6× 64 6.1k
Torfinn Taxt Norway 29 907 0.9× 1.8k 2.1× 144 0.2× 463 0.7× 269 0.4× 88 3.9k
Michael S. Brown United States 33 1.7k 1.7× 4.0k 4.5× 613 0.7× 2.9k 4.2× 1.0k 1.7× 127 9.6k
Jaakko Astola Finland 43 2.3k 2.3× 5.4k 6.1× 183 0.2× 955 1.4× 132 0.2× 524 9.3k
Bjoern Menze Germany 39 164 0.2× 1.3k 1.5× 196 0.2× 514 0.8× 123 0.2× 199 5.6k
Xiaoou Tang Hong Kong 37 3.5k 3.4× 8.7k 9.7× 648 0.8× 945 1.4× 258 0.4× 127 11.5k
Qingli Li China 32 726 0.7× 1.4k 1.5× 296 0.4× 399 0.6× 135 0.2× 328 4.7k

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-authorship network of co-authors of Ping Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Tang. A scholar is included among the top collaborators of Ping Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ping Tang. Ping Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, Ping, Quan Ou, Fangle Liu, et al.. (2025). A mouse model of sepsis-associated DIC induced by Kappa-carrageenan and Lipopolysaccharides: Establishment and characteristics. Journal of Advanced Research. 79. 587–598. 1 indexed citations
2.
Song, Jifeng, et al.. (2024). A note of double-layer cloud detection method based on cloud base height and brightness. Solar Energy. 279. 112845–112845. 1 indexed citations
3.
Li, Xin, Rui Feng, Tao Li, et al.. (2024). Bilateral superselective adrenal artery embolization for bilateral primary aldosteronism: a novel approach in an efficacy and safety proof-of-principle trial. Hypertension Research. 48(1). 189–199. 3 indexed citations
4.
Wei, Wei, et al.. (2024). A Multi‐foci Sparse‐Aperture Metalens. Advanced Science. 11(19). e2309648–e2309648. 7 indexed citations
5.
Cui, Linlin, Xinzhu Wang, Sitong Liu, et al.. (2024). Physicochemical properties and in vitro digestibility of ginseng starches under citric acid-autoclaving treatment. International Journal of Biological Macromolecules. 265(Pt 2). 131031–131031. 4 indexed citations
6.
Jiao, Libin, Changmiao Hu, Lianzhi Huo, & Ping Tang. (2022). Guided-Pix2Pix+: End-to-end spatial and color refinement network for image dehazing. Signal Processing Image Communication. 107. 116758–116758. 2 indexed citations
7.
Jiao, Libin, Lianzhi Huo, Changmiao Hu, & Ping Tang. (2021). Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features. Neural Networks. 143. 767–782. 11 indexed citations
8.
Jiao, Libin, Changmiao Hu, Lianzhi Huo, & Ping Tang. (2021). Guided-Pix2Pix: End-to-End Inference and Refinement Network for Image Dehazing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3052–3069. 19 indexed citations
9.
Park, Jongsoo, Ping Tang, Jianyu Huang, et al.. (2021). Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro. 41(5). 93–100. 5 indexed citations
10.
Gupta, Vipul, Ping Tang, Xiaohan Wei, et al.. (2020). Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism.. arXiv (Cornell University). 4 indexed citations
11.
Tang, Ping, et al.. (2019). SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro. IEEE Geoscience and Remote Sensing Letters. 16(7). 1046–1050. 79 indexed citations
12.
Tang, Liang, Zhongming Zhao, & Ping Tang. (2019). A new method for detection “greening” or “browning” change trend in vegetation from NDVI sequences. Guotu ziyuan yaogan. 31(2). 89–95. 1 indexed citations
13.
Lv, Kun, et al.. (2018). Keystroke Biometrics for Freely Typed Text Based on CNN model. Journal of the Association for Information Systems. 2 indexed citations
14.
Lin, Tsung-Han & Ping Tang. (2018). Sparse Dictionary Learning by Dynamical Neural Networks. International Conference on Learning Representations. 1 indexed citations
15.
Li, Yanyan, Ping Tang, Changmiao Hu, & Xiaojun Shan. (2018). PALSAR-2 image ortho-rectification based on orbit parameters modulation. Guotu ziyuan yaogan. 30(2). 53–59.
16.
Park, Jongsoo, Wei Wen, Ping Tang, et al.. (2016). Faster CNNs with Direct Sparse Convolutions and Guided Pruning. International Conference on Learning Representations. 18 indexed citations
17.
Tang, Ping & Eric Polizzi. (2013). FEAST as Subspace Iteration Accelerated by Approximate Spectral Projection. arXiv (Cornell University).
18.
Tang, Ping, et al.. (2011). [Prognostic factors of breast cancer].. PubMed. 40(2). 73–6. 3 indexed citations
19.
Wang, Jianli, Xiuli Xiao, Jianmin Wang, et al.. (2011). Predictors of Nipple–Areolar Complex Involvement by Breast Carcinoma: Histopathologic Analysis of 787 Consecutive Therapeutic Mastectomy Specimens. Annals of Surgical Oncology. 19(4). 1174–1180. 41 indexed citations
20.
Tang, Ping, Bing Wei, David G. Hicks, Kristin A. Skinner, & Hong Bu. (2009). [Molecular phenotypes of breast cancer and their clinical application].. PubMed. 38(1). 13–7. 1 indexed citations

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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