Chen-Lin Zhang

1.6k citations
20 papers · 603 indexed · h-index 11
Topics
Advanced Neural Network Applications (8 papers)Advanced Image and Video Retrieval Techniques (7 papers)Domain Adaptation and Few-Shot Learning (6 papers)

In The Last Decade

Chen-Lin Zhang

19 papers receiving 590 citations

Peers

Chen-Lin Zhang
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 291
  • Artificial Intelligence 261
  • Electrical and Electronic Engineering 77
  • Signal Processing 53
  • Biomedical Engineering 52
Replace Hong Wu with:
Hong Wu China
Sen Liu China
Jiangbo Qian China
Xin Yuan China
Haoji Hu China
Tianshan Liu Hong Kong
Yongjian Deng China
Xiaoming Liu China
Penghui Zhao China
Aiman Al-Sabaawi Australia
Chen-Lin Zhang relative to Hong Wu China Hong Wu's profile →
Citations per field
00.5×2.5×
Hong Wu · 1×
Citations per year

Countries citing papers authored by Chen-Lin Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Lin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen-Lin Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Lin Zhang. A scholar is included among the top collaborators of Chen-Lin Zhang 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 Chen-Lin Zhang. Chen-Lin Zhang 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 7
2 13
3 6
4 8
5 7
6 4
7 15
8 1
9 1
10 74
11 3
12 11
13 79
14 27
15 59
16 23
17 24
18 212
19 25
20 4

About Chen-Lin Zhang

Chen-Lin Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 20 papers that have together received 603 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (291 citations), Artificial Intelligence (261 citations) and Signal Processing (53 citations). Chen-Lin Zhang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jianxin Wu, Zhi‐Hua Zhou, Guobing Zhou, Xiu-Shen Wei, Chunhua Shen, Yu Wu, Yuan Gong, Gang‐Ding Peng, Yunjiang Rao and Chen Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Lightwave Technology.

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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