Chao Qian
-
- Advanced Multi-Objective Optimization Algorithms 37
- Complexity and Algorithms in Graphs 15
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research 38
- Evolutionary Algorithms and Applications 31
- Machine Learning and Algorithms 7
-
- Advanced Bandit Algorithms Research 6
-
- Sparse and Compressive Sensing Techniques 6
-
- Optimization and Search Problems 6
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Information Sciences (1 paper)Artificial Intelligence (4 papers)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Chao Qian
77 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 557
- Artificial Intelligence 728
- Management Science and Operations Research 108
- Computer Vision and Pattern Recognition 138
- Industrial and Manufacturing Engineering 66
Countries citing papers authored by Chao Qian
This map shows the geographic impact of Chao Qian'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 Chao Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Qian more than expected).
Fields of papers citing papers by Chao Qian
This network shows the impact of papers produced by Chao Qian. 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 Chao Qian. The network helps show where Chao Qian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao Qian, 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 | Reducing the uncertainty in estimating soil microbial-derived carbon storagebreakdown → | 2024 | 68 |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 5 | |
| 13 | 2021 | 3 | |
| 14 | ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. | 2018 | 1 |
| 15 | 2018 | 30 | |
| 16 | Subset Selection under Noise | 2017 | 22 |
| 17 | Parallel pareto optimization for subset selection | 2016 | 21 |
| 18 | On constrained boolean pareto optimization | 2015 | 19 |
| 19 | Subset selection by Pareto optimization | 2015 | 83 |
| 20 | 2013 | 77 |
About Chao Qian
Chao Qian is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (38 papers), Advanced Multi-Objective Optimization Algorithms (37 papers), Evolutionary Algorithms and Applications (31 papers), Complexity and Algorithms in Graphs (15 papers), Machine Learning and Algorithms (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Optimization and Search Problems (6 papers) and Advanced Bandit Algorithms Research (6 papers). The work is most often cited by research in Computational Theory and Mathematics (557 citations), Artificial Intelligence (728 citations) and Management Science and Operations Research (108 citations). Chao Qian has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Zhi‐Hua Zhou, Yang Yu, Ke Tang, Chao Bian, Yang Yu, Jing-Cheng Shi, Xin Yao, Chunhui Jiang, Wenjing Hong and Miqing Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Information Sciences and Artificial Intelligence.
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.