Rui Chi
Impact in
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- Fire Detection and Safety Systems
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- Video Surveillance and Tracking Methods
Papers in
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- Metaheuristic Optimization Algorithms Research 7
- Anomaly Detection Techniques and Applications 2
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- Energy Load and Power Forecasting 2
- Co-authors
- Yixin Su (4 shared papers)Zhe‐Ming Lu (2 shared papers)Qingge Ji (2 shared papers)Hanxin Liu (2 shared papers)Juan Xu (1 shared paper)Huajun Zhang (1 shared paper)Danhong Zhang (2 shared papers)Liang Zhao (1 shared paper)
In The Last Decade
Rui Chi
18 papers receiving 345 citations
Peers
Comparison fields: 5 of 69
- Safety, Risk, Reliability and Quality 62
- Computer Vision and Pattern Recognition 87
- Industrial and Manufacturing Engineering 38
- Artificial Intelligence 113
- Computational Theory and Mathematics 38
Countries citing papers authored by Rui Chi
This map shows the geographic impact of Rui Chi'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 Rui Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Chi more than expected).
Fields of papers citing papers by Rui Chi
This network shows the impact of papers produced by Rui Chi. 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 Rui Chi. The network helps show where Rui Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Rui Chi, 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 | 2021 | 70 | |
| 2 | 2016 | 55 | |
| 3 | 2017 | 48 | |
| 4 | 2019 | 42 | |
| 5 | 2015 | 41 | |
| 6 | 2019 | 27 | |
| 7 | 2018 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2008 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Rui Chi
Rui Chi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 20 papers that have together received 353 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Fire Detection and Safety Systems (2 papers), Railway Systems and Energy Efficiency (2 papers), Advanced Control Systems Design (2 papers), Energy Load and Power Forecasting (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (62 citations), Computer Vision and Pattern Recognition (87 citations), Industrial and Manufacturing Engineering (38 citations), Artificial Intelligence (113 citations) and Computational Theory and Mathematics (38 citations). Rui Chi has collaborated with scholars based in China and Canada. Frequent co-authors include Yixin Su, Zhe‐Ming Lu, Qingge Ji, Hanxin Liu, Juan Xu, Huajun Zhang, Danhong Zhang, Liang Zhao, Liuchen Chang and Bo Sun. Their work appears in journals such as Neural Computing and Applications, PLoS ONE, IEEE Access, Energy and AIP Advances.
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.