Ping Zhong

3.7k total citations · 1 hit paper
82 papers, 2.7k citations indexed

About

Ping Zhong is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Ping Zhong has authored 82 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Media Technology, 51 papers in Computer Vision and Pattern Recognition and 24 papers in Atmospheric Science. Recurrent topics in Ping Zhong's work include Remote-Sensing Image Classification (47 papers), Remote Sensing and Land Use (24 papers) and Advanced Image and Video Retrieval Techniques (20 papers). Ping Zhong is often cited by papers focused on Remote-Sensing Image Classification (47 papers), Remote Sensing and Land Use (24 papers) and Advanced Image and Video Retrieval Techniques (20 papers). Ping Zhong collaborates with scholars based in China, United Kingdom and Australia. Ping Zhong's co-authors include Runsheng Wang, Zhiqiang Gong, Weidong Hu, Shutao Li, Chen Gong, Sheng Wan, Jian Yang, Carola‐Bibiane Schönlieb, Yang Yu and Bo Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Ping Zhong

76 papers receiving 2.6k citations

Hit Papers

Multiscale Dynamic Graph Convolutional Network for Hypers... 2019 2026 2021 2023 2019 100 200 300 400
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. Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
    2019 411 citations Sheng Wan, Chen Gong et al. IEEE Transactions on Geoscience and Remote Sensing 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 Zhong China 24 1.9k 1.0k 907 478 328 82 2.7k
Bing Tu China 32 1.7k 0.9× 717 0.7× 926 1.0× 396 0.8× 185 0.6× 157 2.8k
Feng Gao China 26 1.4k 0.7× 1.1k 1.1× 704 0.8× 364 0.8× 428 1.3× 194 3.0k
Puhong Duan China 27 1.5k 0.8× 793 0.8× 580 0.6× 304 0.6× 230 0.7× 88 2.2k
Liguo Wang China 27 1.8k 0.9× 780 0.8× 1.0k 1.1× 289 0.6× 147 0.4× 226 2.7k
Jie Feng China 30 1.7k 0.9× 974 0.9× 929 1.0× 414 0.9× 292 0.9× 124 2.7k
Shaohui Mei China 31 2.5k 1.3× 1.9k 1.8× 986 1.1× 415 0.9× 409 1.2× 181 3.8k
Hongmin Gao China 27 1.2k 0.6× 576 0.6× 598 0.7× 265 0.6× 239 0.7× 173 2.0k
Swalpa Kumar Roy India 25 3.0k 1.6× 1.1k 1.1× 1.7k 1.9× 517 1.1× 233 0.7× 71 4.0k
Zhouhan Lin China 13 1.9k 1.0× 752 0.7× 1.3k 1.4× 673 1.4× 119 0.4× 35 2.9k

Countries citing papers authored by Ping Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ping Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Zhong. A scholar is included among the top collaborators of Ping Zhong 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 Zhong. Ping Zhong 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.
Hu, Xikun, et al.. (2025). MSP-O: A Two-Stage Mask Pretraining Method With Object Focus for Remote Sensing Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 1 indexed citations
2.
Wang, Xiaojian, et al.. (2025). Adversarial spectral perturbation for single-domain generalized object detection. Pattern Recognition. 171. 112264–112264.
3.
Hu, Xikun, et al.. (2024). DSRNet: Diagonal Subsampling Reconstruction Network for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 2 indexed citations
4.
Hu, Xikun, et al.. (2024). Near Real-Time Burned Area Progression Mapping With Multispectral Data Using Ensemble Learning. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
5.
6.
Zheng, Shijun, Weiquan Liu, Yu Zang, et al.. (2024). SR-Adv: Salient Region Adversarial Attacks on 3D Point Clouds for Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 25(10). 14019–14030. 4 indexed citations
7.
Gong, Zhiqiang, et al.. (2024). Empowering Physical Attacks With Jacobian Matrix Regularization Against ViT-Based Detectors in UAV Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 5 indexed citations
8.
Gong, Zhiqiang, et al.. (2024). Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 2 indexed citations
9.
Qi, Jiahao, et al.. (2024). Relation-Aware Weight Sharing in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification. IEEE Transactions on Multimedia. 26. 9839–9853. 4 indexed citations
10.
Guo, Min, Hanwen Luo, Ping Zhong, et al.. (2024). Silicon and gadolinium co-doped hydroxyapatite/PLGA scaffolds with osteoinductive and MRI dual functions. Frontiers in Bioengineering and Biotechnology. 11. 1310017–1310017. 5 indexed citations
11.
Xue, Wei, Xiaoyan Xia, Pengcheng Wan, Ping Zhong, & Xiao Zheng. (2024). Adversarial Attack on Object Detection via Object Feature-Wise Attention and Perturbation Extraction. Tsinghua Science & Technology. 30(3). 1174–1189. 2 indexed citations
12.
Liu, Weiquan, Minghao Liu, Shijun Zheng, et al.. (2023). Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network. IEEE Transactions on Multimedia. 27. 965–977. 23 indexed citations
13.
Zhang, Yu, Zhiqiang Gong, Yongqian Li, et al.. (2023). Boosting transferability of physical attack against detectors by redistributing separable attention. Pattern Recognition. 138. 109435–109435. 14 indexed citations
14.
Wan, Sheng, Shirui Pan, Ping Zhong, et al.. (2021). Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 46 indexed citations
15.
Hui, Bingwei, Zhiyong Song, Hongqi Fan, et al.. (2020). A dataset for infrared detection and tracking of dim-small aircraft targets under ground / air background. China Scientific Data. 5(3). 21.86101.1/csdata.2019.0074.zh–21.86101.1/csdata.2019.0074.zh. 104 indexed citations
16.
Wan, Sheng, Chen Gong, Ping Zhong, et al.. (2020). Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. IEEE Transactions on Geoscience and Remote Sensing. 59(1). 597–612. 181 indexed citations
17.
Wan, Sheng, Chen Gong, Ping Zhong, et al.. (2019). Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 58(5). 3162–3177. 411 indexed citations breakdown →
18.
Gong, Zhiqiang, Ping Zhong, Weidong Hu, Fang Liu, & Bingwei Hui. (2019). An End-to-End Joint Unsupervised Learning of Deep Model and Pseudo-Classes for Remote Sensing Scene Representation. 1–7.
19.
Yu, Yang, Zhiqiang Gong, Cheng Wang, & Ping Zhong. (2017). An Unsupervised Convolutional Feature Fusion Network for Deep Representation of Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 1–5. 55 indexed citations
20.
Zhong, Ping, et al.. (2012). A FEATURE SELECTION METHOD FOR TWIN SUPPORT VECTOR REGRESSION. 3(1). 91–98. 2 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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