Hui Qu
Impact in
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- Advanced Neural Network Applications
- Catalysis top 10%
Papers in
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- Catalytic Processes in Materials Science 6
- Co-authors
- Qiaoying Huang (9 shared papers)Pengxiang Wu (9 shared papers)Jingru Yi (9 shared papers)Dimitris Metaxas (6 shared papers)Mingfei Zhou (15 shared papers)Guihai Yu (12 shared papers)Bo Liu (1 shared paper)Dimitris Metaxas (10 shared papers)
- Journals
- Applied Mathematics and Computation (6 papers)The Journal of Physical Chemistry A (6 papers)Acta Pharmacologica Sinica (5 papers)Thin-Walled Structures (4 papers)Structures (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Hui Qu
141 papers receiving 2.4k citations
Hui Qu's Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 419
- Catalysis 129
- Media Technology 160
- Geometry and Topology 148
- Health Informatics 20
Countries citing papers authored by Hui Qu
This map shows the geographic impact of Hui Qu'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 Hui Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Qu more than expected).
Fields of papers citing papers by Hui Qu
This network shows the impact of papers produced by Hui Qu. 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 Hui Qu. The network helps show where Hui Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Qu, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors Hit paper breakdown → | 2021 | 239 |
| 2 | 2010 | 167 | |
| 3 | 2016 | 89 | |
| 4 | 2016 | 79 | |
| 5 | 2022 | 75 | |
| 6 | 2021 | 74 | |
| 7 | 2009 | 70 | |
| 8 | 2017 | 63 | |
| 9 | 2020 | 61 | |
| 10 | 2019 | 46 | |
| 11 | 2014 | 46 | |
| 12 | 2014 | 35 | |
| 13 | 2020 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2017 | 33 | |
| 16 | 2017 | 32 | |
| 17 | 2017 | 32 | |
| 18 | 2021 | 32 | |
| 19 | 2023 | 31 | |
| 20 | 2016 | 29 |
About Hui Qu
Hui Qu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Civil and Structural Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 155 papers that have together received 2.5k indexed citations. Recurring topics across this work include Structural Load-Bearing Analysis (14 papers), Graph theory and applications (13 papers), AI in cancer detection (10 papers), Advanced Chemical Physics Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Catalysis and Oxidation Reactions (7 papers), Structural Response to Dynamic Loads (7 papers) and Catalytic Processes in Materials Science (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (419 citations), Catalysis (129 citations), Media Technology (160 citations), Geometry and Topology (148 citations) and Health Informatics (20 citations). Hui Qu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Qiaoying Huang, Pengxiang Wu, Jingru Yi, Dimitris Metaxas, Mingfei Zhou, Guihai Yu, Bo Liu, Dimitris Metaxas, Guanjun Wang and Jingsi Huo. Their work appears in journals such as Applied Mathematics and Computation, The Journal of Physical Chemistry A, Acta Pharmacologica Sinica, Thin-Walled Structures and Structures.
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.