Chang‐Wei Hsieh
Impact in
- Biotechnology top 1%
- Microbial Inactivation Methods
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 12
- Food Science 53
- Fermentation and Sensory Analysis 12
- Co-authors
- Chao‐Kai Chang (49 shared papers)Kuan‐Chen Cheng (68 shared papers)Chih‐Yao Hou (53 shared papers)Ellen Wen-Ching Ko (17 shared papers)Shella Permatasari Santoso (35 shared papers)Hsien‐Yi Hsu (23 shared papers)Bara Yudhistira (22 shared papers)Mohsen Gavahian (22 shared papers)
In The Last Decade
Chang‐Wei Hsieh
174 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 146
- Biotechnology 504
- Biochemistry 313
- Food Science 890
- Animal Science and Zoology 386
- Biomaterials 433
Countries citing papers authored by Chang‐Wei Hsieh
This map shows the geographic impact of Chang‐Wei Hsieh'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 Chang‐Wei Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Wei Hsieh more than expected).
Fields of papers citing papers by Chang‐Wei Hsieh
This network shows the impact of papers produced by Chang‐Wei Hsieh. 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 Chang‐Wei Hsieh. The network helps show where Chang‐Wei Hsieh may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang‐Wei Hsieh, 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 182 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 103 | |
| 2 | 2015 | 75 | |
| 3 | 2019 | 73 | |
| 4 | 2021 | 66 | |
| 5 | 2014 | 66 | |
| 6 | 2010 | 64 | |
| 7 | 2020 | 62 | |
| 8 | 2019 | 62 | |
| 9 | 2016 | 61 | |
| 10 | 2019 | 60 | |
| 11 | 2021 | 59 | |
| 12 | 2022 | 54 | |
| 13 | 2021 | 54 | |
| 14 | 2022 | 53 | |
| 15 | 2007 | 52 | |
| 16 | 2022 | 49 | |
| 17 | 2020 | 49 | |
| 18 | 2019 | 49 | |
| 19 | 2008 | 48 | |
| 20 | 2022 | 48 |
About Chang‐Wei Hsieh
Chang‐Wei Hsieh is a scholar working on Molecular Biology, Food Science, Plant Science, Biotechnology and Pharmacology, having authored 182 papers that have together received 3.4k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (22 papers), Microbial Inactivation Methods (20 papers), Fungal Biology and Applications (20 papers), Phytochemicals and Antioxidant Activities (19 papers), Nanocomposite Films for Food Packaging (15 papers), Postharvest Quality and Shelf Life Management (13 papers), Fermentation and Sensory Analysis (12 papers) and Protein Hydrolysis and Bioactive Peptides (12 papers). The work is most often cited by research in Biotechnology (504 citations), Biochemistry (313 citations), Food Science (890 citations), Animal Science and Zoology (386 citations) and Biomaterials (433 citations). Chang‐Wei Hsieh has collaborated with scholars based in Taiwan, Indonesia and China. Frequent co-authors include Chao‐Kai Chang, Kuan‐Chen Cheng, Chih‐Yao Hou, Ellen Wen-Ching Ko, Shella Permatasari Santoso, Hsien‐Yi Hsu, Bara Yudhistira, Mohsen Gavahian, Jer‐An Lin and Shin‐Ping Lin. Their work appears in journals such as LWT, Molecules, International Journal of Biological Macromolecules, Antioxidants and Foods.
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.