Jingxiang Qu

439 total citations
12 papers, 241 citations indexed

About

Jingxiang Qu is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Media Technology. According to data from OpenAlex, Jingxiang Qu has authored 12 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Ocean Engineering and 5 papers in Media Technology. Recurrent topics in Jingxiang Qu's work include Maritime Navigation and Safety (5 papers), Image Enhancement Techniques (5 papers) and Advanced Image Fusion Techniques (3 papers). Jingxiang Qu is often cited by papers focused on Maritime Navigation and Safety (5 papers), Image Enhancement Techniques (5 papers) and Advanced Image Fusion Techniques (3 papers). Jingxiang Qu collaborates with scholars based in China, Singapore and Taiwan. Jingxiang Qu's co-authors include Ryan Wen Liu, Yu Guo, Yuxu Lu, Fenghua Zhu, Ruobin Gao, Wenqi Ren, Yisheng Lv, Peizheng Li, Shengfeng He and Fei‐Yue Wang and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Instrumentation and Measurement and Ocean Engineering.

In The Last Decade

Jingxiang Qu

10 papers receiving 234 citations

Peers

Jingxiang Qu
Natalia Wawrzyniak Poland
Chaojun Shi China
Jiucai Jin China
Rok Mandeljc Slovenia
Yuting He China
Huibin Wang China
Yaolei Qi China
Frederik Stendahl Leira Norway
Natalia Wawrzyniak Poland
Jingxiang Qu
Citations per year, relative to Jingxiang Qu Jingxiang Qu (= 1×) peers Natalia Wawrzyniak

Countries citing papers authored by Jingxiang Qu

Since Specialization
Citations

This map shows the geographic impact of Jingxiang 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 Jingxiang Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingxiang Qu more than expected).

Fields of papers citing papers by Jingxiang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingxiang 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 Jingxiang Qu. The network helps show where Jingxiang Qu may publish in the future.

Co-authorship network of co-authors of Jingxiang Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingxiang Qu. A scholar is included among the top collaborators of Jingxiang Qu 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 Jingxiang Qu. Jingxiang Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Wang, Xinyuan, Jingxiang Qu, Hongjin Zhang, et al.. (2025). A reflective sapphire@PiGF@alumina color converter enabling ultrahigh luminescence laser-driven white lighting. Journal of Advanced Ceramics. 14(8). 9221124–9221124.
2.
Qu, Jingxiang, et al.. (2024). Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance. IEEE Transactions on Intelligent Transportation Systems. 25(8). 9550–9562. 31 indexed citations
3.
Qu, Jingxiang, et al.. (2023). Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data. Ocean Engineering. 275. 114198–114198. 37 indexed citations
4.
Qu, Jingxiang, et al.. (2023). Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers. Ocean & Coastal Management. 235. 106478–106478. 12 indexed citations
5.
Guo, Yu, Ryan Wen Liu, Yuxu Lu, et al.. (2023). SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing. 1885–1894. 45 indexed citations
6.
Guo, Yu, Ryan Wen Liu, Jingxiang Qu, et al.. (2023). Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12779–12792. 48 indexed citations
7.
Qu, Jingxiang, Ryan Wen Liu, Yu Guo, et al.. (2023). Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance. IEEE Transactions on Intelligent Transportation Systems. 25(5). 4552–4564. 2 indexed citations
8.
Liu, Ryan Wen, et al.. (2023). Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons. Engineering Applications of Artificial Intelligence. 128. 107513–107513. 53 indexed citations
9.
Guo, Yu, Yuxu Lu, Jingxiang Qu, Ryan Wen Liu, & Wenqi Ren. (2022). MDSFE: Multiscale Deep Stacking Fusion Enhancer Network for Visual Data Enhancement. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 7 indexed citations
10.
Li, Xijing, Yuxu Lu, Yu Guo, Jingxiang Qu, & Ryan Wen Liu. (2022). Rep-Enhancer: Re-parameterizing Neural Network for Real-time Low-light Enhancement in Visual Maritime Surveillance. 48–53.
11.
Qu, Jingxiang, et al.. (2022). Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 2280–2285. 4 indexed citations
12.
Qu, Jingxiang, Ryan Wen Liu, Jiangtian Nie, et al.. (2022). Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems. Research Portal (Queen's University Belfast). 1–8. 2 indexed citations

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.

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2026