Qing Qu

1.5k total citations
43 papers, 649 citations indexed

About

Qing Qu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Qing Qu has authored 43 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mechanics, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Qing Qu's work include Sparse and Compressive Sensing Techniques (13 papers), Remote-Sensing Image Classification (5 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Qing Qu is often cited by papers focused on Sparse and Compressive Sensing Techniques (13 papers), Remote-Sensing Image Classification (5 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Qing Qu collaborates with scholars based in United States, China and Hong Kong. Qing Qu's co-authors include John Wright, Ju Sun, Trac D. Tran, Nasser M. Nasrabadi, Zhihui Zhu, Yuqian Zhang, Hongwei Xu, Yonina C. Eldar, Guobin Liu and Sha Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and IEEE Transactions on Information Theory.

In The Last Decade

Qing Qu

39 papers receiving 615 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Qu United States 13 257 193 159 118 98 43 649
Zaidao Wen China 15 195 0.8× 150 0.8× 227 1.4× 29 0.2× 132 1.3× 37 699
Kanghui Guo United States 14 229 0.9× 427 2.2× 808 5.1× 15 0.1× 25 0.3× 37 1.2k
Pascal Monasse France 16 111 0.4× 187 1.0× 778 4.9× 33 0.3× 47 0.5× 45 995
David J. Crisp Australia 13 50 0.2× 158 0.8× 235 1.5× 64 0.5× 169 1.7× 27 968
Konstantin Usevich France 16 168 0.7× 114 0.6× 174 1.1× 12 0.1× 60 0.6× 57 684
S. Z. Li China 5 70 0.3× 198 1.0× 655 4.1× 36 0.3× 210 2.1× 8 993
Yuli Sun China 22 52 0.2× 908 4.7× 322 2.0× 473 4.0× 205 2.1× 56 1.3k
Damiana Lazzaro Italy 13 235 0.9× 51 0.3× 192 1.2× 11 0.1× 19 0.2× 32 511
Eric Veach United States 5 447 1.7× 51 0.3× 933 5.9× 6 0.1× 98 1.0× 5 1.4k
Catalina Sbert Spain 18 184 0.7× 561 2.9× 1.2k 7.8× 11 0.1× 40 0.4× 39 1.5k

Countries citing papers authored by Qing Qu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Qu

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

All Works

20 of 20 papers shown
1.
Qu, Qing, et al.. (2025). Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction. IEEE Transactions on Computational Imaging. 11. 435–451. 2 indexed citations
2.
3.
Li, Pengyu, et al.. (2024). Sim2Real in reconstructive spectroscopy: Deep learning with augmented device-informed data simulation. SHILAP Revista de lepidopterología. 2(3). 2 indexed citations
4.
5.
Wang, Rongrong, et al.. (2024). Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction. 12841–12845. 3 indexed citations
6.
Zhao, Qing, et al.. (2023). Numerical Study of Step Drill Structure on Machining Damage in Drilling of CFRP/Ti Stacks. Materials. 16(17). 6039–6039. 1 indexed citations
7.
Zhao, Min, Zhuo Sun, Jinlong Guo, et al.. (2023). Strengthening and Toughening Epoxy Composites by Constructing MOF/CF Multi-Scale Reinforcement. Coatings. 13(1). 170–170. 1 indexed citations
8.
Li, Pengyu, et al.. (2023). Accelerating Deep Learning in Reconstructive Spectroscopy Using Synthetic Data. 15. JTu2A.71–JTu2A.71. 1 indexed citations
9.
10.
Qu, Qing, Hongwei Xu, Guobin Liu, & Sha Xue. (2022). Soil legacy effects and plant—soil feedback contribution to secondary succession processes. Soil Ecology Letters. 5(2). 3 indexed citations
11.
Qu, Qing, Hongwei Xu, Minggang Wang, Guobin Liu, & Sha Xue. (2022). Plant–soil feedback plays an important role in the progression of plant community succession. Journal of Plant Nutrition and Soil Science. 186(2). 169–176. 3 indexed citations
12.
Liu, Ligang, Qing Qu, Bin Zhou, Yu Zhao, & Zhiyong Bu. (2022). Space-time coding design for multiple source nodes full-duplex cooperative communication. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 54. 1–5. 1 indexed citations
13.
Huang, Xuezhu, et al.. (2021). Nrf2 Alleviates Cognitive Dysfunction and Brain Inflammatory Injury via Mediating Wfs1 in Rats with Depression-Like Behaviors. Inflammation. 45(1). 399–413. 7 indexed citations
14.
Qu, Qing, et al.. (2020). Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning. International Conference on Learning Representations. 6 indexed citations
15.
Jin, Xiaoqing, et al.. (2020). Protective Effect of Compound Formula Rehmannia against Neurotoxicity and Apoptosis Induced by α‐Syn in In Vivo and In Vitro Models of Parkinson’s Disease. Evidence-based Complementary and Alternative Medicine. 2020(1). 5201912–5201912. 5 indexed citations
16.
Li, Xiao, et al.. (2019). Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods.. arXiv (Cornell University). 3 indexed citations
17.
Sun, Ju, Qing Qu, & John Wright. (2016). A geometric analysis of phase retrieval. 2379–2383. 56 indexed citations
18.
Sun, Ju, Qing Qu, & John Wright. (2016). Complete Dictionary Recovery Over the Sphere I: Overview and the Geometric Picture. IEEE Transactions on Information Theory. 63(2). 853–884. 123 indexed citations
19.
Sun, Ju, Qing Qu, & John Wright. (2015). Complete Dictionary Recovery Using Nonconvex Optimization. International Conference on Machine Learning. 2351–2360. 16 indexed citations
20.
Qu, Qing, et al.. (2014). Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 11(7). 1235–1239. 102 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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