Leiting Chen

1.0k citations
99 papers · 674 indexed · h-index 14

Impact in

Papers in

Leiting Chen

92 papers receiving 637 citations

Peers

Leiting Chen
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 330
  • Artificial Intelligence 228
  • Computational Mathematics 4
  • Media Technology 58
  • Radiology, Nuclear Medicine and Imaging 131
Replace Claudia Loy with:
Claudia Loy United Kingdom
T. A. Joyce Switzerland
Rudrasis Chakraborty United States
Farhad Kamangar United States
Jingbo Xie China
Huamin Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Leiting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Leiting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leiting Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leiting Chen Line = papers co-authored together Leiting Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202155
2
A Survey of Video Enhancement Techniques
201253
3 201739
4 201729
5 201827
6
Saliency transfer: an example-based method for salient object detection
201619
7 201819
8 201118
9 201818
10 201517
11 202017
12 201616
13 200515
14 201613
15 201613
16 201211
17 201611
18 201511
19 202211
20 201511

About Leiting Chen

Leiting Chen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Ophthalmology, having authored 99 papers that have together received 674 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (16 papers), Computer Graphics and Visualization Techniques (11 papers), Simulation and Modeling Applications (11 papers), Multimodal Machine Learning Applications (8 papers), Human Motion and Animation (8 papers), COVID-19 diagnosis using AI (7 papers), Advanced Neural Network Applications (7 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (330 citations), Artificial Intelligence (228 citations), Computational Mathematics (4 citations), Media Technology (58 citations) and Radiology, Nuclear Medicine and Imaging (131 citations). Leiting Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chuan Zhou, Yang Wen, Yu Deng, Yuxiao Guo, Hong Cheng, Xin Li, Jin Ning, Tao Wu, Fan Yang and Jianping Li. Their work appears in journals such as Knowledge-Based Systems, Physica A Statistical Mechanics and its Applications, Journal of Visual Communication and Image Representation, International Journal of Advancements in Computing Technology and Computers & Electrical Engineering.

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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