Qiang Ling

442 total citations
26 papers, 338 citations indexed

About

Qiang Ling is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Qiang Ling has authored 26 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Media Technology, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Aerospace Engineering. Recurrent topics in Qiang Ling's work include Remote-Sensing Image Classification (18 papers), Infrared Target Detection Methodologies (10 papers) and Remote Sensing and Land Use (8 papers). Qiang Ling is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Infrared Target Detection Methodologies (10 papers) and Remote Sensing and Land Use (8 papers). Qiang Ling collaborates with scholars based in China, Ecuador and Germany. Qiang Ling's co-authors include Zaiping Lin, Wei An, Yulan Guo, Yingqian Wang, Kun Li, Yao Qin, Yaoming Cai, Chao Xiao, Zaiping Lin and Shilin Zhou and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Qiang Ling

22 papers receiving 334 citations

Peers

Qiang Ling
Ning Huyan China
Shizhen Chang China
Chiru Ge China
Pei Xiang China
Zengfu Hou China
Yanzi Shi China
M.T. Eismann United States
Yuanyang Bu China
Ning Huyan China
Qiang Ling
Citations per year, relative to Qiang Ling Qiang Ling (= 1×) peers Ning Huyan

Countries citing papers authored by Qiang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Ling. A scholar is included among the top collaborators of Qiang Ling 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 Ling. Qiang Ling 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.
An, Wei, et al.. (2025). CWIMamba: Cross-Scale Windowed Integration State Space Model for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–20.
2.
An, Wei, et al.. (2025). Event-Based Motion Deblurring With Blur-Aware Reconstruction Filter. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8508–8519.
3.
Li, Kun, Yingqian Wang, Qiang Ling, Yaoming Cai, & Yao Qin. (2025). A cascaded autoencoder unmixing network for Hyperspectral anomaly detection. International Journal of Applied Earth Observation and Geoinformation. 136. 104405–104405. 1 indexed citations
4.
Zhou, Shilin, et al.. (2024). Global-to-Local Spatial–Spectral Awareness Transformer Network for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–22. 9 indexed citations
5.
6.
Wang, Yingqian, et al.. (2024). SPTrack: Spectral Similarity Prompt Learning for Hyperspectral Object Tracking. Remote Sensing. 16(16). 2975–2975. 4 indexed citations
7.
Gan, T. Eng, et al.. (2024). Deformable Feature Fusion Network for Multi-Modal 3D Object Detection. 35. 363–367. 1 indexed citations
8.
Ling, Qiang, et al.. (2023). Anomaly Detection for Hyperspectral Imagery via Tensor Low-Rank Approximation With Multiple Subspace Learning. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 27 indexed citations
9.
Ling, Qiang, et al.. (2022). Detecting Dim Small Target in Infrared Images via Subpixel Sampling Cuneate Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 12 indexed citations
10.
11.
Ling, Qiang, et al.. (2022). Hyperspectral Detection and Unmixing of Subpixel Target Using Iterative Constrained Sparse Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1049–1063. 9 indexed citations
12.
Li, Kun, Qiang Ling, Yingqian Wang, et al.. (2022). Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 72. 1–17. 22 indexed citations
13.
Li, Kun, Qiang Ling, Yao Qin, et al.. (2022). Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 23 indexed citations
14.
Li, Kun, Yao Qin, Qiang Ling, et al.. (2021). Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3215–3227. 35 indexed citations
15.
16.
Ling, Qiang, et al.. (2020). A Constrained Sparse-Representation-Based Spatio-Temporal Anomaly Detector for Moving Targets in Hyperspectral Imagery Sequences. Remote Sensing. 12(17). 2783–2783. 4 indexed citations
17.
Ling, Qiang, et al.. (2020). Segmentation-Based Weighting Strategy for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 18(10). 1806–1810. 6 indexed citations
18.
Ling, Qiang, Yulan Guo, Zaiping Lin, Li Liu, & Wei An. (2019). A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(6). 1933–1947. 14 indexed citations
19.
Ling, Qiang, Yulan Guo, Zaiping Lin, & Wei An. (2018). A Constrained Sparse Representation Model for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 57(4). 2358–2371. 103 indexed citations
20.
Xiong, Jie, et al.. (2018). Kernel Sparse Representation for Anomaly Detection in Hyperspectral Imagery. 106–110. 3 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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