Chi‐Wei Lee

54 papers receiving 697 citations

Peers

Chi‐Wei Lee
Comparison fields: 5 of 137
  • Information Systems and Management 102
  • Toxicology 50
  • Spectroscopy 210
  • Analytical Chemistry 79
  • Emergency Medicine 68
Replace Thanakorn Naenna with:
Thanakorn Naenna Thailand
‪Irena Spasić United Kingdom
Hong Wan United States
Liu Liu China
Matthias Bogaert Belgium
Ramesh Ramesh India
Xiaoli Meng United Kingdom
Panagiotis Georgiadis Greece
Gaurvika M. L. Nayyar United States
Anup Kumar Das India
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Citations per field
00.5×10×13.6×
Thanakorn Naenna · 1×
Citations per year

Countries citing papers authored by Chi‐Wei Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Wei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002109
2
Understanding M-Commerce Payment Systems through the Analytic Hierarchy Process
200291
3 201847
4 201344
5 201934
6 201633
7 201929
8 201724
9 201622
10 202019
11 201817
12 201015
13 202015
14 201913
15 201913
16 201711
17 201911
18 200411
19 201111
20 201310

About Chi‐Wei Lee

Chi‐Wei Lee is a scholar working on Spectroscopy, Computer Vision and Pattern Recognition, Food Science, Emergency Medicine and Analytical Chemistry, having authored 57 papers that have together received 737 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (17 papers), Analytical Chemistry and Chromatography (8 papers), Pesticide Residue Analysis and Safety (8 papers), Analytical chemistry methods development (6 papers), Handwritten Text Recognition Techniques (6 papers), Forensic Toxicology and Drug Analysis (5 papers), Insect and Pesticide Research (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Information Systems and Management (102 citations), Toxicology (50 citations), Spectroscopy (210 citations), Analytical Chemistry (79 citations) and Emergency Medicine (68 citations). Chi‐Wei Lee has collaborated with scholars based in Taiwan, Japan and Indonesia. Frequent co-authors include Jentaie Shiea, Hung Su, Sy‐Chyi Cheng, Bai‐Hsiun Chen, Jingyueh Jeng, Zen Chen, Kuan-Han Wu, Deng‐Chyang Wu, I‐Jeng Yeh and Shyi‐Jang Shin. Their work appears in journals such as Analytica Chimica Acta, Journal of Food and Drug Analysis, The American Journal of Emergency Medicine, Rapid Communications in Mass Spectrometry and Machine Vision and Applications.

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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