Zhaolu Guo
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- Advanced Multi-Objective Optimization Algorithms 14
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 27
- Evolutionary Algorithms and Applications 15
- Neural Networks and Applications 2
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- Stock Market Forecasting Methods 2
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- Robotic Path Planning Algorithms 5
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- Advanced Algorithms and Applications 3
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- Optimization and Search Problems 2
- Co-authors
- Wai Keung WongZhijian WuChangshou DengHu PengXiaosheng LiuGang LiuMingze LiZhengping Liang
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
In The Last Decade
Zhaolu Guo
29 papers receiving 483 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 154
- Artificial Intelligence 294
- Management Science and Operations Research 83
- Industrial and Manufacturing Engineering 34
- Management Information Systems 27
Countries citing papers authored by Zhaolu Guo
This map shows the geographic impact of Zhaolu Guo'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 Zhaolu Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaolu Guo more than expected).
Fields of papers citing papers by Zhaolu Guo
This network shows the impact of papers produced by Zhaolu Guo. 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 Zhaolu Guo. The network helps show where Zhaolu Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhaolu Guo, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 5 | |
| 5 | 2019 | 4 | |
| 6 | 2017 | 37 | |
| 7 | 2017 | 5 | |
| 8 | 2017 | 43 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 20 | |
| 11 | 2016 | 31 | |
| 12 | 2016 | 23 | |
| 13 | 2015 | 7 | |
| 14 | 2015 | 17 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2013 | 15 | |
| 19 | 2012 | 1 | |
| 20 | 2010 | 126 |
About Zhaolu Guo
Zhaolu Guo is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (27 papers), Evolutionary Algorithms and Applications (15 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Robotic Path Planning Algorithms (5 papers), Advanced Algorithms and Applications (3 papers), Optimization and Search Problems (2 papers), Neural Networks and Applications (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (154 citations), Artificial Intelligence (294 citations) and Management Science and Operations Research (83 citations). Zhaolu Guo has collaborated with scholars based in China, Hong Kong and Poland. Frequent co-authors include Wai Keung Wong, Zhijian Wu, Changshou Deng, Hu Peng, Xiaosheng Liu, Gang Liu, Mingze Li, Zhengping Liang, Dahai Li and Gang Liu. Their work appears in journals such as Expert Systems with Applications, IEEE Access and International Journal of Production Economics.
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.