Ming‐Chieh Lee

120 papers receiving 2.7k citations

Peers

Ming‐Chieh Lee
Comparison fields: 5 of 135
  • Public Health, Environmental and Occupational Health 1.7k
  • Parasitology 138
  • Computer Vision and Pattern Recognition 385
  • Endocrinology 58
  • Modeling and Simulation 51
Replace Marianne Sinka with:
Marianne Sinka United Kingdom
M. Craig South Africa
Richard Orton United Kingdom
Michael B. MacDonald United States
Fredros O. Okumu Tanzania
Xi Zhou China
Timothy William Malaysia
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Citations per field
00.5×10×15×21.4×
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Citations per year

Countries citing papers authored by Ming‐Chieh Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chieh Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chieh 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 Ming‐Chieh Lee. The network helps show where Ming‐Chieh Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998176
2 2011170
3 2018157
4 201790
5 202087
6 199786
7 201271
8 200471
9 201570
10 201660
11 201655
12 201955
13 201550
14 201650
15 201846
16 201543
17 201839
18 201139
19 201539
20 201438

About Ming‐Chieh Lee

Ming‐Chieh Lee is a scholar working on Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition, Parasitology, Molecular Biology and Ecology, having authored 135 papers that have together received 2.8k indexed citations. Recurring topics across this work include Malaria Research and Control (99 papers), Mosquito-borne diseases and control (34 papers), Parasites and Host Interactions (7 papers), Video Coding and Compression Technologies (4 papers), Vibrio bacteria research studies (4 papers), Insect Resistance and Genetics (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Parasite Biology and Host Interactions (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.7k citations), Parasitology (138 citations), Computer Vision and Pattern Recognition (385 citations), Endocrinology (58 citations) and Modeling and Simulation (51 citations). Ming‐Chieh Lee has collaborated with scholars based in United States, Kenya and Ethiopia. Frequent co-authors include Guiyun Yan, Guofa Zhou, Andrew K. Githeko, Chuang Gu, Harrysone Atieli, Delenasaw Yewhalaw, Yaw A. Afrane, Daibin Zhong, James W. Kazura and Liwang Cui. Their work appears in journals such as Malaria Journal, Parasites & Vectors, PLoS ONE, American Journal of Tropical Medicine and Hygiene and Scientific Reports.

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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