Qiang Wang

3.6k total citations · 1 hit paper
249 papers, 2.5k citations indexed

About

Qiang Wang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Qiang Wang has authored 249 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Computer Vision and Pattern Recognition, 50 papers in Computational Mechanics and 43 papers in Media Technology. Recurrent topics in Qiang Wang's work include Sparse and Compressive Sensing Techniques (41 papers), Image and Signal Denoising Methods (30 papers) and Remote-Sensing Image Classification (26 papers). Qiang Wang is often cited by papers focused on Sparse and Compressive Sensing Techniques (41 papers), Image and Signal Denoising Methods (30 papers) and Remote-Sensing Image Classification (26 papers). Qiang Wang collaborates with scholars based in China, United States and France. Qiang Wang's co-authors include Yi Shen, Hong Zhu, Minghua Wang, Jocelyn Chanussot, Danfeng Hong, Zhi He, Bai Zhang, Ting Li, Hongsheng Ding and Jingjie Guo and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Construction and Building Materials.

In The Last Decade

Qiang Wang

220 papers receiving 2.5k citations

Hit Papers

Learning Tensor Low-Rank Representation for Hyperspectral... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection
    2022 126 citations Minghua Wang, Qiang Wang et al. IEEE Transactions on Cybernetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiang Wang China 28 697 577 460 419 396 249 2.5k
Jian Yao China 30 2.2k 3.2× 645 1.1× 797 1.7× 80 0.2× 117 0.3× 156 4.4k
Hongli Liu China 26 454 0.7× 224 0.4× 310 0.7× 49 0.1× 213 0.5× 208 2.1k
Yuxiang Sun China 28 1.6k 2.2× 206 0.4× 209 0.5× 73 0.2× 111 0.3× 159 2.9k
Xiaojian Ding China 11 1.3k 1.8× 249 0.4× 234 0.5× 80 0.2× 109 0.3× 43 5.4k
Yanlong Cao China 24 829 1.2× 415 0.7× 153 0.3× 31 0.1× 234 0.6× 117 2.2k
Song–Hai Zhang China 23 2.4k 3.5× 626 1.1× 227 0.5× 62 0.1× 283 0.7× 103 3.7k
Zhongwei Li China 27 1.1k 1.5× 341 0.6× 101 0.2× 42 0.1× 267 0.7× 119 2.4k
Ding Liu China 29 995 1.4× 298 0.5× 69 0.1× 79 0.2× 116 0.3× 252 3.5k
Andreas Nüchter Germany 36 2.8k 4.1× 96 0.2× 131 0.3× 213 0.5× 329 0.8× 189 5.4k

Countries citing papers authored by Qiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Wang. A scholar is included among the top collaborators of Qiang Wang 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 Qiang Wang. Qiang Wang 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.
Zhou, Peng, et al.. (2025). TEVIO: Thermal-Aided Event-Based Visual–Inertial Odometry for Robust State Estimation in Challenging Environments. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 1 indexed citations
2.
3.
4.
5.
Amor, Heni Ben, et al.. (2024). Learning-Based Multimodal Control for a Supernumerary Robotic System in Human-Robot Collaborative Sorting. IEEE Robotics and Automation Letters. 9(4). 3435–3442. 5 indexed citations
6.
Wang, Qiang, et al.. (2024). Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9907–9921. 2 indexed citations
7.
Wang, Qiang, et al.. (2024). Semiparametric Musculoskeletal Model for Reinforcement Learning-Based Trajectory Tracking. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 6 indexed citations
8.
Zhang, Yiwen, et al.. (2023). Image-fusion-based object detection using a time-of-flight camera. Optics Express. 31(26). 43100–43100. 1 indexed citations
9.
He, Zhen, et al.. (2023). Improving Small-Scale Human Action Recognition Performance Using a 3D Heatmap Volume. Sensors. 23(14). 6364–6364. 5 indexed citations
10.
Liu, Jiahang, et al.. (2023). Spectral–Spatial Prototype Learning-Based Nearest Neighbor Classifier for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 5 indexed citations
11.
Wang, Minghua, Qiang Wang, Danfeng Hong, Swalpa Kumar Roy, & Jocelyn Chanussot. (2022). Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection. IEEE Transactions on Cybernetics. 53(1). 679–691. 126 indexed citations breakdown →
12.
Li, Xiaojun, et al.. (2022). Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 3539–3551. 7 indexed citations
13.
Zhuang, Songlin, et al.. (2022). VW-SC3D: A Sparse 3D CNN-Based Spatial–Temporal Network with View Weighting for Skeleton-Based Action Recognition. Electronics. 12(1). 117–117. 1 indexed citations
14.
Wang, Qiang, et al.. (2021). Dimension investigation to pneumatic network bending soft actuators for soft robotic applications. Engineering Research Express. 4(1). 15001–15001. 3 indexed citations
15.
Wang, Minghua, Qiang Wang, & Jocelyn Chanussot. (2021). Tensor Low-Rank Constraint and $l_0$ Total Variation for Hyperspectral Image Mixed Noise Removal. IEEE Journal of Selected Topics in Signal Processing. 15(3). 718–733. 41 indexed citations
16.
Wang, Minghua, Qiang Wang, Jocelyn Chanussot, & Danfeng Hong. (2021). l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 7695–7710. 58 indexed citations
17.
Wang, Minghua, Qiang Wang, Jocelyn Chanussot, & Danfeng Hong. (2021). Total Variation Regularized Weighted Tensor Ring Decomposition for Missing Data Recovery in High-Dimensional Optical Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 12 indexed citations
18.
Wang, Qiang, et al.. (2019). A sparse tensor-based classification method of hyperspectral image. Signal Processing. 168. 107361–107361. 19 indexed citations
19.
Jia, Xisheng, et al.. (2019). Laplace Prior-Based Bayesian Compressive Sensing Using K-SVD for Vibration Signal Transmission and Fault Detection. Electronics. 8(5). 517–517. 6 indexed citations
20.
Wang, Qiang. (2011). Extracting details from images based on 1-DEMD. Journal of Jilin University. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jian Yao Breakdown of academic impact, for papers by Hongli Liu Breakdown of academic impact, for papers by Yuxiang Sun Breakdown of academic impact, for papers by Xiaojian Ding Breakdown of academic impact, for papers by Yanlong Cao Breakdown of academic impact, for papers by Song–Hai Zhang Breakdown of academic impact, for papers by Zhongwei Li Breakdown of academic impact, for papers by Ding Liu Breakdown of academic impact, for papers by Andreas Nüchter
Rankless by CCL
2026