Zhaodong Chen

745 total citations
36 papers, 455 citations indexed

About

Zhaodong Chen is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Zhaodong Chen has authored 36 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Instrumentation, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Zhaodong Chen's work include Advanced Optical Sensing Technologies (13 papers), Advanced Neural Network Applications (9 papers) and Remote Sensing and LiDAR Applications (8 papers). Zhaodong Chen is often cited by papers focused on Advanced Optical Sensing Technologies (13 papers), Advanced Neural Network Applications (9 papers) and Remote Sensing and LiDAR Applications (8 papers). Zhaodong Chen collaborates with scholars based in China, United States and South Korea. Zhaodong Chen's co-authors include Yuan Xie, Zheng Qu, Yufei Ding, Liu Liu, Jie Zhou, Wenzhao Zheng, Jiwen Lu, Lei Deng, Fengbin Tu and Deying Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Optics Express.

In The Last Decade

Zhaodong Chen

32 papers receiving 446 citations

Peers

Zhaodong Chen
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 210
  • Artificial Intelligence 163
  • Electrical and Electronic Engineering 142
  • Instrumentation 76
  • Hardware and Architecture 55
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Juhyoung Lee South Korea
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Hakan Yalcin United States View profile →
Citations per field, relative to Zhaodong Chen
Zhaodong Chen · 1×
Citations per year, relative to Zhaodong Chen
Zhaodong Chen · 1×

Countries citing papers authored by Zhaodong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhaodong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaodong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaodong Chen. A scholar is included among the top collaborators of Zhaodong 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 Zhaodong Chen. Zhaodong 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
# Work Indexed citations
1 0
2 0
3 4
4 3
5 2
6 8
7 2
8 2
9 29
10 1
11 27
12 26
13 43
14 18
15
Boosting Deep Neural Network Efficiency with Dual-Module Inference
4
16 4
17 11
18 15
19 5
20 2

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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