Fan Zhou

1.0k total citations
71 papers, 531 citations indexed

About

Fan Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Fan Zhou has authored 71 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Fan Zhou's work include Domain Adaptation and Few-Shot Learning (15 papers), Multimodal Machine Learning Applications (12 papers) and Human Pose and Action Recognition (9 papers). Fan Zhou is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Multimodal Machine Learning Applications (12 papers) and Human Pose and Action Recognition (9 papers). Fan Zhou collaborates with scholars based in China, United States and Canada. Fan Zhou's co-authors include Kwok Leung, Lin Lü, Boyu Wang, Changjian Shui, Brahim Chaib-draa, Fuli Li, Zhigang Jiang, Hua Zhang, Ruomei Wang and Zhuo Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors and Actuators B Chemical.

In The Last Decade

Fan Zhou

63 papers receiving 515 citations

Peers

Fan Zhou
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 176
  • Artificial Intelligence 141
  • Organizational Behavior and Human Resource Management 77
  • Sociology and Political Science 64
  • Strategy and Management 46
Replace Heng Tang with:
Heng Tang China
Ali Soleimani Iran
Ahmad Khan Pakistan
Peter Novák Czechia
Andreas Schmidt Germany
Pierluigi Ritrovato Italy
Ali Rizwan Saudi Arabia
Jure Kovač Slovenia
Jung-Woo Kim South Korea
Heng Tang China View profile →
Citations per field, relative to Fan Zhou
Fan Zhou · 1×
Citations per year, relative to Fan Zhou
Fan Zhou · 1×

Countries citing papers authored by Fan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Fan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Zhou. A scholar is included among the top collaborators of Fan 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 Fan Zhou. Fan Zhou 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 4
2 6
3 0
4 0
5 1
6 1
7 1
8 0
9 0
10 8
11 1
12 8
13 0
14 0
15 0
16 8
17 3
18
Accelerating pairwise statistical significance estimation using NUMA machine
4
19 3
20
Constructing Validity of SCL 90 Applied to Chinese Non-Clinical Population
1

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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