Cui Zhang

513 total citations · 1 hit paper
12 papers, 365 citations indexed

About

Cui Zhang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Cui Zhang has authored 12 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Media Technology, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Cui Zhang's work include Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Cui Zhang is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Cui Zhang collaborates with scholars based in China and United States. Cui Zhang's co-authors include Liejun Wang, Shuli Cheng, Yongming Li, Yan Nie, Rongzhou Gong, Xuan Xiong, Panpan Zheng, Zhangli Sha, Hailong Wang and Wenjun Tan and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Geoscience and Remote Sensing and Applied Soft Computing.

In The Last Decade

Cui Zhang

11 papers receiving 358 citations

Hit Papers

SwinSUNet: Pure Transformer Network for Remote Sensing Im... 2022 2026 2023 2024 2022 100 200 300

Peers

Cui Zhang
Comparison fields: 5 of 51
  • Media Technology 257
  • Atmospheric Science 150
  • Ecology 78
  • Computer Vision and Pattern Recognition 63
  • Artificial Intelligence 51
Replace Yining Feng with:
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Joshua Broadwater United States
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Yining Feng China View profile →
Citations per field, relative to Cui Zhang
Cui Zhang · 1×
Citations per year, relative to Cui Zhang
Cui Zhang · 1×

Countries citing papers authored by Cui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Cui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Cui Zhang. A scholar is included among the top collaborators of Cui Zhang 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 Cui Zhang. Cui Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 2
2 2
3 1
4 7
5 6
6 9
7 3
8
SwinSUNet: Pure Transformer Network for Remote Sensing Image Change Detection breakdown →
311
9 1
10 21
11
Quality Supervision in Supply Chain and Its Decision
0
12 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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