Ailiang Qi
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- AI in cancer detection
- Evolutionary Algorithms and Applications
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Remote-Sensing Image Classification 2
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- Metaheuristic Optimization Algorithms Research 4
- Machine Learning and ELM 1
- Co-authors
- Huiling Chen (6 shared papers)Ali Asghar Heidari (5 shared papers)Fanhua Yu (4 shared papers)Dong Zhao (3 shared papers)Dong Xu Zhao (3 shared papers)Zhen-Nao Cai (1 shared paper)Romany Fouad Mansour (1 shared paper)Mayun Chen (1 shared paper)
- Journals
- Journal of Computational Design and Engineering (2 papers)Neurocomputing (1 paper)Pattern Recognition (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- ChinaSaudi ArabiaIran
In The Last Decade
Ailiang Qi
6 papers receiving 321 citations
Ailiang Qi's Hit Papers
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 145
- Computer Vision and Pattern Recognition 90
- Health Informatics 5
- Radiology, Nuclear Medicine and Imaging 60
- Computational Theory and Mathematics 39
Countries citing papers authored by Ailiang Qi
This map shows the geographic impact of Ailiang Qi'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 Ailiang Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailiang Qi more than expected).
Fields of papers citing papers by Ailiang Qi
This network shows the impact of papers produced by Ailiang Qi. 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 Ailiang Qi. The network helps show where Ailiang Qi may publish in the future.
Co-authors
The 21 scholars most cited alongside Ailiang Qi, 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 | Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation Hit paper breakdown → | 2022 | 170 |
| 2 | FATA: An efficient optimization method based on geophysics Hit paper breakdown → | 2024 | 89 |
| 3 | 2022 | 34 | |
| 4 | 2023 | 20 | |
| 5 | 2022 | 9 | |
| 6 | 2025 | 4 | |
| 7 | 2026 | 0 |
About Ailiang Qi
Ailiang Qi is a scholar working on Media Technology, Artificial Intelligence, Computational Theory and Mathematics, Modeling and Simulation and Cell Biology, having authored 7 papers that have together received 326 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (4 papers), Remote-Sensing Image Classification (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Machine Learning and ELM (1 paper), COVID-19 epidemiological studies (1 paper), Optical Wireless Communication Technologies (1 paper) and Slime Mold and Myxomycetes Research (1 paper). The work is most often cited by research in Artificial Intelligence (145 citations), Computer Vision and Pattern Recognition (90 citations), Health Informatics (5 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Computational Theory and Mathematics (39 citations). Ailiang Qi has collaborated with scholars based in China, Saudi Arabia and Iran. Frequent co-authors include Huiling Chen, Ali Asghar Heidari, Fanhua Yu, Dong Zhao, Dong Xu Zhao, Zhen-Nao Cai, Romany Fouad Mansour, Mayun Chen, Zongda Wu and Fayadh S. Alenezi. Their work appears in journals such as Journal of Computational Design and Engineering, Neurocomputing, Pattern Recognition, IEEE Transactions on Geoscience and Remote Sensing and Biomedical Signal Processing and Control.
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.