Wei-Tun Chang
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
-
- Catalysis and Oxidation Reactions
Papers in
- Spectroscopy 10
- Analytical Chemistry and Chromatography 9
- Mass Spectrometry Techniques and Applications 4
-
- Spectroscopy and Chemometric Analyses 3
- Co-authors
- Dongliang Lin (2 shared papers)Biing‐Jye Liaw (1 shared paper)Ray H. Liu (5 shared papers)Chien‐Sheng Huang (1 shared paper)Meiping Zhao (3 shared papers)Chin‐Wang Huang (6 shared papers)Ji‐Huan He (2 shared papers)Jingling Yan (2 shared papers)
- Journals
- Journal of Analytical Toxicology (3 papers)Talanta (3 papers)Antiviral Research (2 papers)Forensic Science International (2 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Wei-Tun Chang
35 papers receiving 401 citations
Peers
Comparison fields: 5 of 98
- Toxicology 33
- Catalysis 39
- Spectroscopy 77
- Analytical Chemistry 42
- Hepatology 27
Countries citing papers authored by Wei-Tun Chang
This map shows the geographic impact of Wei-Tun Chang'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 Wei-Tun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Tun Chang more than expected).
Fields of papers citing papers by Wei-Tun Chang
This network shows the impact of papers produced by Wei-Tun Chang. 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 Wei-Tun Chang. The network helps show where Wei-Tun Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Tun Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 46 | |
| 2 | 2000 | 32 | |
| 3 | 2005 | 32 | |
| 4 | 1994 | 30 | |
| 5 | 2005 | 28 | |
| 6 | 2001 | 25 | |
| 7 | 2005 | 25 | |
| 8 | 2004 | 24 | |
| 9 | 2000 | 21 | |
| 10 | 2004 | 16 | |
| 11 | 2001 | 16 | |
| 12 | 2008 | 13 | |
| 13 | 2005 | 12 | |
| 14 | 2006 | 11 | |
| 15 | 2005 | 11 | |
| 16 | 2000 | 10 | |
| 17 | 1992 | 9 | |
| 18 | 2004 | 9 | |
| 19 | 2008 | 9 | |
| 20 | 2002 | 8 |
About Wei-Tun Chang
Wei-Tun Chang is a scholar working on Spectroscopy, Analytical Chemistry, Toxicology, Hepatology and Dermatology, having authored 36 papers that have together received 441 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (9 papers), Advanced Chemical Sensor Technologies (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Forensic Toxicology and Drug Analysis (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Dyeing and Modifying Textile Fibers (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Cultural Heritage Materials Analysis (3 papers). The work is most often cited by research in Toxicology (33 citations), Catalysis (39 citations), Spectroscopy (77 citations), Analytical Chemistry (42 citations) and Hepatology (27 citations). Wei-Tun Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Dongliang Lin, Biing‐Jye Liaw, Ray H. Liu, Chien‐Sheng Huang, Meiping Zhao, Chin‐Wang Huang, Ji‐Huan He, Jingling Yan, Shiwei Huang and S.‐S. Chou. Their work appears in journals such as Journal of Analytical Toxicology, Talanta, Antiviral Research, Forensic Science International and Clinical Chemistry and Laboratory Medicine (CCLM).
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.