Xianghua Chu
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- Scheduling and Optimization Algorithms 3
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research 16
- Evolutionary Algorithms and Applications 9
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning 3
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- Advanced Multi-Objective Optimization Algorithms 9
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- Innovative Microfluidic and Catalytic Techniques Innovation 4
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- Energy Load and Power Forecasting 3
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- Modular Robots and Swarm Intelligence 3
- Journals
- Journal of Cleaner Production (1 paper)Scientific Reports (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xianghua Chu
46 papers receiving 687 citations
Peers
Comparison fields: 5 of 121
- Industrial and Manufacturing Engineering 104
- Artificial Intelligence 225
- Health Informatics 6
- Computer Vision and Pattern Recognition 84
- Control and Systems Engineering 92
Countries citing papers authored by Xianghua Chu
This map shows the geographic impact of Xianghua Chu'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 Xianghua Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianghua Chu more than expected).
Fields of papers citing papers by Xianghua Chu
This network shows the impact of papers produced by Xianghua Chu. 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 Xianghua Chu. The network helps show where Xianghua Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xianghua Chu, 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 | 2025 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 2 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 17 | |
| 10 | 2019 | 66 | |
| 11 | 2019 | 6 | |
| 12 | 2018 | 25 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 82 | |
| 15 | 2016 | 14 | |
| 16 | 2016 | 40 | |
| 17 | 2016 | 6 | |
| 18 | 2015 | 14 | |
| 19 | 2014 | 1 | |
| 20 | Novel multi-swarm cooperative particle swarm optimization | 2009 | 4 |
About Xianghua Chu
Xianghua Chu is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 48 papers that have together received 710 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Energy Load and Power Forecasting (3 papers), Robot Manipulation and Learning (3 papers), Scheduling and Optimization Algorithms (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (104 citations), Artificial Intelligence (225 citations) and Health Informatics (6 citations). Xianghua Chu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Quande Qin, Teresa Wu, Fei Gao, Hyunsoo Yoon, Yuhui Shi, Shi Cheng, Kerstin Thurow, Heidi Fleischer, Xiujuan Lei and Li Li. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and Expert Systems with Applications.
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.