Ai-Qing Tian
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering top 10%
- Computational Theory and Mathematics top 10%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Jeng‐Shyang PanShu‐Chuan ChuHongxia LvFeifei LiuWeimin ZhengVáclav SnåšelLingping KongJunbao Li
- Topics
- Metaheuristic Optimization Algorithms Research (6 papers)Railway Systems and Energy Efficiency (3 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringArtificial IntelligenceComputational Theory and Mathematics
- Journals
- IEEE AccessEnergySustainability
In The Last Decade
Ai-Qing Tian
15 papers receiving 309 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 157
- Electrical and Electronic Engineering 74
- Industrial and Manufacturing Engineering 55
- Computational Theory and Mathematics 53
- Renewable Energy, Sustainability and the Environment 45
Countries citing papers authored by Ai-Qing Tian
This map shows the geographic impact of Ai-Qing Tian'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 Ai-Qing Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai-Qing Tian more than expected).
Fields of papers citing papers by Ai-Qing Tian
This network shows the impact of papers produced by Ai-Qing Tian. 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 Ai-Qing Tian. The network helps show where Ai-Qing Tian may publish in the future.
Co-authorship network of co-authors of Ai-Qing Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Ai-Qing Tian. A scholar is included among the top collaborators of Ai-Qing Tian 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 Ai-Qing Tian. Ai-Qing Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 22 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 82 | |
| 11 | 6 | |
| 12 | 41 | |
| 13 | 31 | |
| 14 | 26 | |
| 15 | 70 | |
| 16 | 11 |
About Ai-Qing Tian
Ai-Qing Tian is a scholar working on Industrial and Manufacturing Engineering, Transportation and Artificial Intelligence, having authored 16 papers that have together received 316 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Railway Systems and Energy Efficiency (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (55 citations), Artificial Intelligence (157 citations) and Computational Theory and Mathematics (53 citations). Ai-Qing Tian has collaborated with scholars based in China, Australia and Czechia. Frequent co-authors include Jeng‐Shyang Pan, Shu‐Chuan Chu, Hongxia Lv, Feifei Liu, Weimin Zheng, Václav Snåšel, Lingping Kong, Junbao Li, Yongquan Liang and Xiaoyang Wang. Their work appears in journals such as IEEE Access, Energy and Sustainability.
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.