Chenglizhao Chen

3.1k citations
92 papers · 2.1k indexed · 2 hit papers · h-index 28

Chenglizhao Chen

81 papers receiving 2.1k citations

Hit Papers

Mutual Graph Learning for Camouflaged Object Detection20212026202220242021202250100150200

Peers

Chenglizhao Chen
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 1.8k
  • Media Technology 398
  • Artificial Intelligence 287
  • Cognitive Neuroscience 162
  • Sensory Systems 157
Replace Deepu Rajan with:
Deepu Rajan Singapore
Keze Wang China
Gangyi Jiang China
Federico Perazzi United States
Pingping Zhang China
Keren Fu China
Loong‐Fah Cheong Singapore
Chenglizhao Chen relative to Deepu Rajan Singapore Deepu Rajan's profile →
Citations per field
00.5×1.5×2.0×
Deepu Rajan · 1×
Citations per year

Countries citing papers authored by Chenglizhao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chenglizhao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglizhao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chenglizhao Chen. A scholar is included among the top collaborators of Chenglizhao Chen 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 Chenglizhao Chen. Chenglizhao Chen 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 0
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5 1
6 7
7 1
8 2
9 1
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11 9
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13 1
14 9
15 3
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17 32
18 2
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20 17

About Chenglizhao Chen

Chenglizhao Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Mathematics, having authored 92 papers that have together received 2.1k indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (38 papers), Advanced Image and Video Retrieval Techniques (26 papers) and Image and Video Quality Assessment (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Media Technology (398 citations) and Computational Mathematics (22 citations). Chenglizhao Chen has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Hong Qin, Aimin Hao, Shuai Li, Chong Peng, Deng-Ping Fan, Zhao Kang, Shuo Wang, Yujia Sun, Tian-Zhu Xiang and Zhenkuan Pan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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