Cunzhao Shi

1.5k citations
45 papers · 984 indexed · h-index 17
Topics
Handwritten Text Recognition Techniques (27 papers)Image Retrieval and Classification Techniques (25 papers)Advanced Image and Video Retrieval Techniques (24 papers)
Partner nations
China

In The Last Decade

Cunzhao Shi

45 papers receiving 943 citations

Peers

Cunzhao Shi
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 783
  • Media Technology 370
  • Artificial Intelligence 201
  • Ecology 57
  • Biomedical Engineering 49
Replace Nabil Zerrouki with:
Nabil Zerrouki Algeria
Abdallah Zeggada Italy
Yun Ren China
Hongtao Huo China
Yasser Baleghi Iran
Chunjuan Bo China
Yue Liao China
S. Veni India
Yufei Xu Australia
Alberto Rosales Mexico
Cunzhao Shi relative to Nabil Zerrouki Algeria Nabil Zerrouki's profile →
Citations per field
00.5×7.9×
Nabil Zerrouki · 1×
Citations per year

Countries citing papers authored by Cunzhao Shi

Since Specialization
Citations

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

Fields of papers citing papers by Cunzhao Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cunzhao Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Cunzhao Shi. A scholar is included among the top collaborators of Cunzhao Shi 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 Cunzhao Shi. Cunzhao Shi 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
#WorkIndexed citations
1 5
2 45
3 4
4 32
5 13
6 6
7 27
8 26
9
Part-based Weighting Aggregation of Deep Convolutional Features for Image
1
10 3
11 2
12 4
13 37
14 66
15 27
16 25
17 9
18 5
19 7
20 5

About Cunzhao Shi

Cunzhao Shi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 45 papers that have together received 984 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (27 papers), Image Retrieval and Classification Techniques (25 papers) and Advanced Image and Video Retrieval Techniques (24 papers). The work is most often cited by research in Media Technology (370 citations), Computer Vision and Pattern Recognition (783 citations) and Artificial Intelligence (201 citations). Cunzhao Shi has collaborated with scholars based in China. Frequent co-authors include Baihua Xiao, Chunheng Wang, Song Gao, Yang Zhang, Yanna Wang, Zhong Zhang, Yu Wang, Kun He, Wen Zhou and Jinlong Hu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

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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