Feng Zhao

2.4k total citations
121 papers, 1.7k citations indexed

About

Feng Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Feng Zhao has authored 121 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 38 papers in Media Technology. Recurrent topics in Feng Zhao's work include Remote-Sensing Image Classification (35 papers), Face and Expression Recognition (18 papers) and Image Retrieval and Classification Techniques (18 papers). Feng Zhao is often cited by papers focused on Remote-Sensing Image Classification (35 papers), Face and Expression Recognition (18 papers) and Image Retrieval and Classification Techniques (18 papers). Feng Zhao collaborates with scholars based in China, United States and Australia. Feng Zhao's co-authors include Hanqiang Liu, Jiulun Fan, Licheng Jiao, Zhe Meng, Miaomiao Liang, Wen Xie, Hongming Tang, Chang Wen Chen, Xinbo Gao and Gongjian Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Feng Zhao

112 papers receiving 1.7k citations

Peers

Feng Zhao
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 708
  • Media Technology 683
  • Artificial Intelligence 484
  • Atmospheric Science 272
  • Ocean Engineering 161
Replace Chunxia Zhang with:
Chunxia Zhang China
Peng Ren China
Xiaohui Huang China
Bing Tu China
Zhiqiang Gong China
Fan Wu China
Hua Zhang China
Zhibin Pan China
Zhiyong Lv China
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Citations per field, relative to Feng Zhao
Feng Zhao · 1×
Citations per year, relative to Feng Zhao
Feng Zhao · 1×

Countries citing papers authored by Feng Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Zhao. A scholar is included among the top collaborators of Feng Zhao 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 Feng Zhao. Feng Zhao 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 2
3 2
4 1
5 2
6 2
7 10
8 4
9 6
10 1
11 1
12 5
13 41
14 3
15 12
16 0
17 52
18 27
19 53
20
Two-Dimensional Otsu's Curve Thresholding Segmentation Method for Gray-Level Images
40

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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