Rui Chi

529 citations
21 papers · 374 · h-index 10

Impact in

Papers in

Rui Chi

18 papers receiving 364 citations

Peers

Rui Chi
Comparison fields: 5 of 72
  • Safety, Risk, Reliability and Quality 66
  • Computer Vision and Pattern Recognition 94
  • Industrial and Manufacturing Engineering 39
  • Artificial Intelligence 122
  • Computational Theory and Mathematics 40
Replace Jinfei Shi with:
Jinfei Shi China
Yongliang Yuan China
Rahul Razdan United States
Bifeng Song China
Mohammad‐Amin Akbari Iran
Yong Oh Lee South Korea
Yungang Zhu China
Surekha Paneerselvam India
R.H. Bhesdadiya India
Huilian Liao United Kingdom
Rui Chi relative to Jinfei Shi China Jinfei Shi's profile →
Citations per field
00.5×1.5×1.9×
Jinfei Shi · 1×
Citations per year

Countries citing papers authored by Rui Chi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rui Chi Line = papers co-authored together Rui Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 201659
3 201753
4 201943
5 201542
6 201928
7 201815
8 202112
9 201711
10 201911
11 20088
12 20256
13 20224
14 20163
15 20212
16 20202
17 20201
18 20201
19 20211
20 20250

About Rui Chi

Rui Chi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 21 papers that have together received 374 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Video Surveillance and Tracking Methods (3 papers), Fire Detection and Safety Systems (2 papers), Railway Systems and Energy Efficiency (2 papers), Advanced Control Systems Design (2 papers), Robotic Path Planning Algorithms (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (66 citations), Computer Vision and Pattern Recognition (94 citations), Industrial and Manufacturing Engineering (39 citations), Artificial Intelligence (122 citations) and Computational Theory and Mathematics (40 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, Danhong Zhang, Huajun Zhang, Liuchen Chang, Liang Zhao and Jiwen Liu. Their work appears in journals such as PLoS ONE, Neural Computing and Applications, IEEE Access, Expert Systems with Applications 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.

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