Qing An
Impact in
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- Electrocatalysts for Energy Conversion
- Solar-Powered Water Purification Methods
- Solar Thermal and Photovoltaic Systems
Papers in
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- Advanced battery technologies research 4
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- Distributed Control Multi-Agent Systems 12
- Neural Networks Stability and Synchronization 7
- Co-authors
- Hao Yi (5 shared papers)Shaoxian Song (5 shared papers)Housheng Su (13 shared papers)Gai‐Ge Wang (3 shared papers)Juan Li (3 shared papers)Xijiang Chen (9 shared papers)Zhenghua Huang (7 shared papers)Xian Zhang (3 shared papers)
- Journals
- Sensors (5 papers)Journal of the Franklin Institute (4 papers)Complexity (4 papers)Neurocomputing (4 papers)Optik (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qing An
72 papers receiving 696 citations
Peers
Comparison fields: 5 of 106
- Renewable Energy, Sustainability and the Environment 109
- Energy Engineering and Power Technology 16
- Media Technology 39
- Computer Networks and Communications 90
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Qing An
This map shows the geographic impact of Qing An'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 Qing An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing An more than expected).
Fields of papers citing papers by Qing An
This network shows the impact of papers produced by Qing An. 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 Qing An. The network helps show where Qing An may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2022 | 43 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 34 | |
| 5 | 2024 | 31 | |
| 6 | 2021 | 29 | |
| 7 | 2023 | 28 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 23 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 23 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2025 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2020 | 12 |
About Qing An
Qing An is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering, having authored 77 papers that have together received 712 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (12 papers), Neural Networks Stability and Synchronization (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Advanced Image Processing Techniques (5 papers), 3D Surveying and Cultural Heritage (5 papers), Remote Sensing and LiDAR Applications (4 papers), Advanced battery technologies research (4 papers) and Advanced Battery Technologies Research (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (109 citations), Energy Engineering and Power Technology (16 citations), Media Technology (39 citations), Computer Networks and Communications (90 citations) and Computer Vision and Pattern Recognition (77 citations). Qing An has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hao Yi, Shaoxian Song, Housheng Su, Gai‐Ge Wang, Juan Li, Xijiang Chen, Zhenghua Huang, Xian Zhang, Hong Lei and Hao Fang. Their work appears in journals such as Sensors, Journal of the Franklin Institute, Complexity, Neurocomputing and Optik.
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.