Jin Yi
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Manufacturing Process and Optimization 6
- Scheduling and Optimization Algorithms 6
- Advanced Manufacturing and Logistics Optimization 4
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- Metaheuristic Optimization Algorithms Research 8
- Evolutionary Algorithms and Applications 4
- Co-authors
- Liang Gao (10 shared papers)Chao Lu (7 shared papers)Xinyu Li (8 shared papers)Wei Liao (1 shared paper)Chih‐Hsing Chu (3 shared papers)Christine A. Shoemaker (2 shared papers)Guo‐Min Li (1 shared paper)Huayan Pu (10 shared papers)
In The Last Decade
Jin Yi
31 papers receiving 905 citations
Peers
Comparison fields: 5 of 74
- Industrial and Manufacturing Engineering 468
- Computational Theory and Mathematics 183
- Artificial Intelligence 278
- Control and Systems Engineering 151
- Automotive Engineering 72
Countries citing papers authored by Jin Yi
This map shows the geographic impact of Jin Yi'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 Jin Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yi more than expected).
Fields of papers citing papers by Jin Yi
This network shows the impact of papers produced by Jin Yi. 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 Jin Yi. The network helps show where Jin Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yi, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 152 | |
| 2 | 2016 | 131 | |
| 3 | 2018 | 130 | |
| 4 | 2016 | 51 | |
| 5 | 2021 | 47 | |
| 6 | 2019 | 41 | |
| 7 | 2012 | 36 | |
| 8 | 2015 | 35 | |
| 9 | 2019 | 34 | |
| 10 | 2016 | 34 | |
| 11 | 2020 | 28 | |
| 12 | 2019 | 28 | |
| 13 | 2018 | 26 | |
| 14 | 2020 | 26 | |
| 15 | 2017 | 18 | |
| 16 | 2022 | 16 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2017 | 11 |
About Jin Yi
Jin Yi is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computational Theory and Mathematics, Mechanical Engineering and Control and Systems Engineering, having authored 32 papers that have together received 917 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Manufacturing Process and Optimization (6 papers), Scheduling and Optimization Algorithms (6 papers), Additive Manufacturing Materials and Processes (5 papers), Robotic Path Planning Algorithms (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (468 citations), Computational Theory and Mathematics (183 citations), Artificial Intelligence (278 citations), Control and Systems Engineering (151 citations) and Automotive Engineering (72 citations). Jin Yi has collaborated with scholars based in China, Singapore and France. Frequent co-authors include Liang Gao, Chao Lu, Xinyu Li, Wei Liao, Chih‐Hsing Chu, Christine A. Shoemaker, Guo‐Min Li, Huayan Pu, Shengqiang Xiao and Jie Gao. Their work appears in journals such as Applied Soft Computing, Engineering Optimization, Applied Intelligence, IEEE Transactions on Industrial Informatics and Mathematical Biosciences & Engineering.
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.