Chien-Cheng Lee

902 citations
63 papers · 641 indexed · h-index 12

Chien-Cheng Lee

59 papers receiving 597 citations

Peers

Chien-Cheng Lee
Comparison fields: 5 of 117
  • Computer Vision and Pattern Recognition 229
  • Artificial Intelligence 244
  • Health Informatics 7
  • Radiology, Nuclear Medicine and Imaging 116
  • Human-Computer Interaction 27
Replace Mohamed K. Nour with:
Mohamed K. Nour Saudi Arabia
Xiaoguang Li China
Sami Dhahbi Saudi Arabia
Hany S. Hussein Egypt
Usman Habib Pakistan
Leandro A. Passos Brazil
Maria Valueva Russia
Mohamed Elgharib Germany
A.K. Ray India
Edward Rajan Samuel Nadar India
Chien-Cheng Lee relative to Mohamed K. Nour Saudi Arabia Mohamed K. Nour's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chien-Cheng Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Cheng Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Cheng Lee. 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 Chien-Cheng Lee. The network helps show where Chien-Cheng Lee may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chien-Cheng Lee, 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 Chien-Cheng Lee Line = papers co-authored together Chien-Cheng Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20235
4 20226
5 20221
6 20212
7 20208
8 20207
9 201947
10 20181
11 20182
12 201710
13 20161
14
Mobile Emergency Telemedicine System over Heterogeneous Networks
20121
15
Gabor feature selection for facial expression recognition
20103
16 20107
17 20091
18 200714
19 20063
20 200364

About Chien-Cheng Lee

Chien-Cheng Lee is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Neurology, having authored 63 papers that have together received 641 indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Brain Tumor Detection and Classification (10 papers), Advanced Image and Video Retrieval Techniques (8 papers), Handwritten Text Recognition Techniques (7 papers), Speech and Audio Processing (6 papers), Hand Gesture Recognition Systems (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Artificial Intelligence (244 citations) and Health Informatics (7 citations). Chien-Cheng Lee has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Pau‐Choo Chung, Chein‐I Chang, Yu‐Chun Chiang, Hong‐Ming Tsai, Chih-Yang Chen, Man‐Yee Chan, Tze‐Ta Huang, Po-Chiang Lin, Pau-Choo Chung and Chia‐Ning Yang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and BMC Bioinformatics.

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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