Jin Qi
Impact in
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- Quality Function Deployment in Product Design
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- Multi-Criteria Decision Making
Papers in
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- Robot Manipulation and Learning 10
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- Quality Function Deployment in Product Design 15
- Product Development and Customization 10
- Co-authors
- Jie Hu (56 shared papers)Yinghong Peng (37 shared papers)Zhiqiang Zhu (2 shared papers)Jun Chen (1 shared paper)Jing Du (1 shared paper)Fangyi Cheng (1 shared paper)Tianran Zhang (1 shared paper)Shiwen Wang (1 shared paper)
- Journals
- Advanced Engineering Informatics (6 papers)Applied Sciences (6 papers)Expert Systems with Applications (5 papers)Engineering Applications of Artificial Intelligence (4 papers)Information Sciences (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin Qi
104 papers receiving 2.5k citations
Jin Qi's Hit Papers
Peers
Comparison fields: 5 of 166
- Management of Technology and Innovation 189
- Management Science and Operations Research 296
- Electronic, Optical and Magnetic Materials 371
- Rehabilitation 134
- Biomaterials 227
Countries citing papers authored by Jin Qi
This map shows the geographic impact of Jin Qi'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 Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Qi more than expected).
Fields of papers citing papers by Jin Qi
This network shows the impact of papers produced by Jin Qi. 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 Qi. The network helps show where Jin Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Qi, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ultrasmall Sn Nanoparticles Embedded in Nitrogen-Doped Porous Carbon As High-Performance Anode for Lithium-Ion Batteries Hit paper breakdown → | 2013 | 538 |
| 2 | 2020 | 244 | |
| 3 | 2015 | 223 | |
| 4 | 2019 | 153 | |
| 5 | 2020 | 127 | |
| 6 | 2018 | 113 | |
| 7 | 2020 | 92 | |
| 8 | 2020 | 64 | |
| 9 | 2014 | 60 | |
| 10 | 2019 | 48 | |
| 11 | 2014 | 46 | |
| 12 | 2020 | 40 | |
| 13 | 2022 | 38 | |
| 14 | 2014 | 32 | |
| 15 | 2009 | 32 | |
| 16 | 2015 | 31 | |
| 17 | 2014 | 28 | |
| 18 | 2019 | 27 | |
| 19 | 2011 | 27 | |
| 20 | 2021 | 25 |
About Jin Qi
Jin Qi is a scholar working on Control and Systems Engineering, Management of Technology and Innovation, Biomedical Engineering, Management Science and Operations Research and Mechanical Engineering, having authored 112 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (15 papers), Quality Function Deployment in Product Design (15 papers), Robot Manipulation and Learning (10 papers), Product Development and Customization (10 papers), Manufacturing Process and Optimization (9 papers), Neuroscience and Neural Engineering (8 papers), Color perception and design (8 papers) and EEG and Brain-Computer Interfaces (7 papers). The work is most often cited by research in Management of Technology and Innovation (189 citations), Management Science and Operations Research (296 citations), Electronic, Optical and Magnetic Materials (371 citations), Rehabilitation (134 citations) and Biomaterials (227 citations). Jin Qi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Hu, Yinghong Peng, Zhiqiang Zhu, Jun Chen, Jing Du, Fangyi Cheng, Tianran Zhang, Shiwen Wang, Guo‐Niu Zhu and Wenguo Cui. Their work appears in journals such as Advanced Engineering Informatics, Applied Sciences, Expert Systems with Applications, Engineering Applications of Artificial Intelligence and Information Sciences.
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.