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

Peers

Ping Zhong
Comparison fields: 5 of 128
  • Media Technology 1.9k
  • Computer Vision and Pattern Recognition 1.0k
  • Atmospheric Science 907
  • Artificial Intelligence 478
  • Aerospace Engineering 328
Replace Bing Tu with:
Bing Tu China
Feng Gao China
Puhong Duan China
Liguo Wang China
Jie Feng China
Shaohui Mei China
Hongmin Gao China
Swalpa Kumar Roy India
Zhouhan Lin China
Bing Tu China View profile →
Citations per field, relative to Ping Zhong
Ping Zhong · 1×
Citations per year, relative to Ping Zhong
Ping Zhong · 1×

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
# Work Indexed citations
1 1
2 0
3 2
4 2
5 0
6 4
7 5
8 2
9 4
10 5
11 2
12 23
13 14
14 46
15 104
16 181
17
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification breakdown →
411
18 0
19 55
20
A FEATURE SELECTION METHOD FOR TWIN SUPPORT VECTOR REGRESSION
2

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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