Suizhi Luo

1.0k citations
25 papers · 777 indexed · 1 hit paper · h-index 11
Topics
Multi-Criteria Decision Making (19 papers)Optimization and Mathematical Programming (9 papers)Cognitive Science and Mapping (3 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Suizhi Luo

24 papers receiving 766 citations

Hit Papers

Predicting Hard Rock Pillar Stability Using GBDT, XGBoost...20202026202220242020100200300

Peers

Suizhi Luo
Comparison fields: 5 of 132
  • Management Science and Operations Research 346
  • Control and Systems Engineering 139
  • Artificial Intelligence 136
  • Computational Theory and Mathematics 79
  • Civil and Structural Engineering 70
Replace Kejun Zhu with:
Kejun Zhu China
Yuan Rong China
Muhammet Fatih Ak Türkiye
Hsien-Da Lee Taiwan
Jun Ren United Kingdom
Liming Xiao China
Cunbin Li China
Mališa Žižović Serbia
Xian‐Jia Wang China
Suizhi Luo relative to Kejun Zhu China Kejun Zhu's profile →
Citations per field
00.5×3.5×
Kejun Zhu · 1×
Citations per year

Countries citing papers authored by Suizhi Luo

Since Specialization
Citations

This map shows the geographic impact of Suizhi Luo'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 Suizhi Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suizhi Luo more than expected).

Fields of papers citing papers by Suizhi Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suizhi Luo. 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 Suizhi Luo. The network helps show where Suizhi Luo may publish in the future.

Co-authorship network of co-authors of Suizhi Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Suizhi Luo. A scholar is included among the top collaborators of Suizhi Luo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suizhi Luo. Suizhi Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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6 8
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11
Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithmsbreakdown →
339
12 4
13 35
14 15
15 33
16 20
17 9
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20 28

About Suizhi Luo

Suizhi Luo is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management, Monitoring, Policy and Law, having authored 25 papers that have together received 777 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (19 papers), Optimization and Mathematical Programming (9 papers) and Cognitive Science and Mapping (3 papers). The work is most often cited by research in Management Science and Operations Research (346 citations), Safety, Risk, Reliability and Quality (60 citations) and Control and Systems Engineering (139 citations). Suizhi Luo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Weizhang Liang, Guoyan Zhao, Hao Wu, Lining Xing, Jian‐qiang Wang, Lin Li, Hong‐yu Zhang, Pengfei Cheng, Teng Ren and Xiaojian Hu. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

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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