Weixun Zhou

861 total citations · 1 hit paper
6 papers, 665 citations indexed

About

Weixun Zhou is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Weixun Zhou has authored 6 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Media Technology, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Weixun Zhou's work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Remote-Sensing Image Classification (5 papers). Weixun Zhou is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Remote-Sensing Image Classification (5 papers). Weixun Zhou collaborates with scholars based in China and United States. Weixun Zhou's co-authors include Zhenfeng Shao, Shawn Newsam, Congmin Li, Chunyuan Diao, Qimin Cheng, Lei Zhang, Ke Yang, Shao Li, Zhiyuan Yuan and Ping Zhang and has published in prestigious journals such as Nature Communications, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Weixun Zhou

6 papers receiving 652 citations

Hit Papers

align trajectories

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.

PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval

2018 408 citations Weixun Zhou, Shawn Newsam et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers

Weixun Zhou

MT

CVPR

AI

AS

ECOLO

Laila Bashmal Saudi Arabia

Gencer Sumbül Germany

Giovanni Marchisio United States

Xianping Ma China

Yin Zhuang China

Yuxi Sun China

Chenyang Liu China

Guangyi Yang China

Wanxuan Lu China

Ken Sakurada Japan

Laila Bashmal Saudi Arabia

Weixun Zhou

332 ×0.7

MT

345 ×0.8

CVPR

181 ×1.5

AI

147 ×1.5

AS

93 ×1.2

ECOLO

Citations per year, relative to Weixun Zhou Weixun Zhou (= 1×) peers Laila Bashmal

Countries citing papers authored by Weixun Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Weixun Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixun Zhou

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Yuan, Zhiyuan, et al.. (2025). Systematic inference of super-resolution cell spatial profiles from histology images. Nature Communications. 16(1). 1838–1838. 3 indexed citations

2.

Shao, Zhenfeng, et al.. (2018). Performance Evaluation of Single-Label and Multi-Label Remote Sensing Image Retrieval Using a Dense Labeling Dataset. Remote Sensing. 10(6). 964–964. 139 indexed citations

3.

Zhou, Weixun, Shawn Newsam, Congmin Li, & Zhenfeng Shao. (2018). PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval. ISPRS Journal of Photogrammetry and Remote Sensing. 145. 197–209. 408 indexed citations breakdown →

4.

Shao, Zhenfeng, Ke Yang, & Weixun Zhou. (2018). Correction: Shao, Z.; et al. A Benchmark Dataset for Performance Evaluation of Multi-Label Remote Sensing Image Retrieval. Remote Sens. 2018, 10, 964. Remote Sensing. 10(8). 1220–1220. 5 indexed citations

5.

Zhou, Weixun, Zhenfeng Shao, Chunyuan Diao, & Qimin Cheng. (2015). High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder. Remote Sensing Letters. 6(10). 775–783. 69 indexed citations

6.

Shao, Zhenfeng, et al.. (2014). Improved color texture descriptors for remote sensing image retrieval. Journal of Applied Remote Sensing. 8(1). 83584–83584. 41 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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