Cheng‐Jin Du
Impact in
- Analytical Chemistry top 0.2%
- Spectroscopy and Chemometric Analyses
- Animal Science and Zoology top 1%
- Meat and Animal Product Quality
Papers in
-
- Spectroscopy and Chemometric Analyses 16
-
- Cell Image Analysis Techniques 5
- Co-authors
- Da‐Wen SunPaul AllenPatrick JackmanGérard DowneyWeidong WangTill BretschneiderJ. FornalTomasz Jeliński
- Journals
- Journal of Food Engineering (10 papers)Food Research International (3 papers)Meat Science (3 papers)Transactions of the ASABE (2 papers)Robotics and Autonomous Systems (1 paper)
- Partner nations
- IrelandChinaUnited Kingdom
In The Last Decade
Cheng‐Jin Du
39 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 122
- Analytical Chemistry 977
- Animal Science and Zoology 471
- Biophysics 173
- Food Science 285
- Industrial and Manufacturing Engineering 123
Countries citing papers authored by Cheng‐Jin Du
This map shows the geographic impact of Cheng‐Jin Du'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 Cheng‐Jin Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Jin Du more than expected).
Fields of papers citing papers by Cheng‐Jin Du
This network shows the impact of papers produced by Cheng‐Jin Du. 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 Cheng‐Jin Du. The network helps show where Cheng‐Jin Du may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cheng‐Jin Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 16 | |
| 8 | 2019 | 1 | |
| 9 | 2015 | 11 | |
| 10 | 2013 | 17 | |
| 11 | 2012 | 4 | |
| 12 | 2011 | 12 | |
| 13 | 2010 | 16 | |
| 14 | 2008 | 10 | |
| 15 | 2008 | 115 | |
| 16 | 2008 | 32 | |
| 17 | 2007 | 27 | |
| 18 | 2007 | 30 | |
| 19 | 2007 | 1 | |
| 20 | 2006 | 13 |
About Cheng‐Jin Du
Cheng‐Jin Du is a scholar working on Analytical Chemistry, Biophysics, Animal Science and Zoology, Media Technology and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (16 papers), Meat and Animal Product Quality (10 papers), Advanced Chemical Sensor Technologies (10 papers), Identification and Quantification in Food (5 papers), Cell Image Analysis Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Image Processing Techniques and Applications (4 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Analytical Chemistry (977 citations), Animal Science and Zoology (471 citations), Biophysics (173 citations), Food Science (285 citations) and Industrial and Manufacturing Engineering (123 citations). Cheng‐Jin Du has collaborated with scholars based in Ireland, China and United Kingdom. Frequent co-authors include Da‐Wen Sun, Paul Allen, Patrick Jackman, Gérard Downey, Weidong Wang, Till Bretschneider, J. Fornal, Tomasz Jeliński, Phillip T. Hawkins and Len Stephens. Their work appears in journals such as Journal of Food Engineering, Food Research International, Meat Science, Transactions of the ASABE and Robotics and Autonomous Systems.
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.