Minshi Chen
Impact in
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- Digital Transformation in Industry
- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Manufacturing and Logistics Optimization
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- Effects and risks of endocrine disrupting chemicals
Papers in
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- Advanced Manufacturing and Logistics Optimization 2
- Digital Transformation in Industry 2
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- Effects and risks of endocrine disrupting chemicals 2
- Co-authors
- Hongfei Guo (5 shared papers)Ting Qu (4 shared papers)Jianke Li (4 shared papers)Mohamed Salah Khalgui (1 shared paper)Xin Xu (1 shared paper)Kai Zhang (1 shared paper)Gary G. Yen (1 shared paper)Yaping Ren (1 shared paper)
- Journals
- Biosensors (1 paper)Journal of Separation Science (1 paper)Journal of Manufacturing Systems (1 paper)Neurocomputing (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Minshi Chen
16 papers receiving 388 citations
Peers
Comparison fields: 5 of 78
- Industrial and Manufacturing Engineering 171
- Health, Toxicology and Mutagenesis 40
- Analytical Chemistry 22
- Computational Theory and Mathematics 33
- Safety, Risk, Reliability and Quality 15
Countries citing papers authored by Minshi Chen
This map shows the geographic impact of Minshi Chen'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 Minshi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minshi Chen more than expected).
Fields of papers citing papers by Minshi Chen
This network shows the impact of papers produced by Minshi Chen. 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 Minshi Chen. The network helps show where Minshi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Minshi Chen, 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 | 2020 | 98 | |
| 2 | 2018 | 72 | |
| 3 | 2021 | 67 | |
| 4 | 2020 | 51 | |
| 5 | 2013 | 31 | |
| 6 | 2013 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2011 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2012 | 1 |
About Minshi Chen
Minshi Chen is a scholar working on Industrial and Manufacturing Engineering, Health, Toxicology and Mutagenesis, Computer Vision and Pattern Recognition, Automotive Engineering and Biomedical Engineering, having authored 16 papers that have together received 395 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Multimodal Machine Learning Applications (2 papers), Advanced Neural Network Applications (2 papers), Melamine detection and toxicity (2 papers), Digital Transformation in Industry (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (171 citations), Health, Toxicology and Mutagenesis (40 citations), Analytical Chemistry (22 citations), Computational Theory and Mathematics (33 citations) and Safety, Risk, Reliability and Quality (15 citations). Minshi Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Hongfei Guo, Ting Qu, Jianke Li, Mohamed Salah Khalgui, Xin Xu, Kai Zhang, Gary G. Yen, Yaping Ren, Yingxin Zhu and Yu Zhang. Their work appears in journals such as Biosensors, Journal of Separation Science, Journal of Manufacturing Systems, Neurocomputing and Multimedia Tools 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.