Anyong Qin

739 total citations · 1 hit paper
40 papers, 515 citations indexed

About

Anyong Qin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Anyong Qin has authored 40 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 21 papers in Media Technology and 13 papers in Artificial Intelligence. Recurrent topics in Anyong Qin's work include Remote-Sensing Image Classification (19 papers), Advanced Image Fusion Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Anyong Qin is often cited by papers focused on Remote-Sensing Image Classification (19 papers), Advanced Image Fusion Techniques (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Anyong Qin collaborates with scholars based in China, Macao and Japan. Anyong Qin's co-authors include Zhaowei Shang, Yuan Yan Tang, Jinyu Tian, Taiping Zhang, Yulong Wang, Chenqiang Gao, Feng Yang, Ling Zhao, Yue Zhao and Yongqing Sun and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Anyong Qin

33 papers receiving 509 citations

Hit Papers

align trajectories

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.

Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification

2018 297 citations Anyong Qin, Zhaowei Shang et al. IEEE Geoscience and Remote Sensing Letters profile →

Peers

Anyong Qin

MT

CVPR

AS

AI

IS

Tong Qiao China

Fang He China

Minghua Wang China

Weizhong Yu China

Weidong Yan China

Xiangming Jiang China

Xiaohua Zhang China

Xiuwen Gong Australia

Abdullah Bal Türkiye

Tong Qiao China

Anyong Qin

208 ×0.6

MT

718 ×3.7

CVPR

56 ×0.4

AS

173 ×1.5

AI

46 ×1.5

IS

Citations per year, relative to Anyong Qin Anyong Qin (= 1×) peers Tong Qiao

Countries citing papers authored by Anyong Qin

Since Specialization

Citations

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

Fields of papers citing papers by Anyong Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anyong Qin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gao, Chenqiang, et al.. (2025). Towards Student Actions in Classroom Scenes: New Dataset and Baseline. IEEE Transactions on Multimedia. 27. 6831–6844. 1 indexed citations

2.

Song, Tiecheng, et al.. (2025). HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 3989–4003. 2 indexed citations

3.

Yang, Feng, Xi Liu, Anyong Qin, et al.. (2025). Aerial video classification with Window Semantic Enhanced Video Transformers. Expert Systems with Applications. 285. 127883–127883.

4.

Song, Tiecheng, et al.. (2025). Progressive spectral-frequency-spatial guidance network for hyperspectral image dehazing. Expert Systems with Applications. 296. 128891–128891.

5.

Qin, Anyong, et al.. (2025). Local-Descriptors-Based Rectification Network for Few-Shot Remote Sensing Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9566–9581.

6.

Song, Tiecheng, et al.. (2024). Global–local prompts guided image-text embedding, alignment and aggregation for multi-label zero-shot learning. Journal of Visual Communication and Image Representation. 106. 104347–104347. 2 indexed citations

7.

Song, Tiecheng, et al.. (2024). DS$^{2}$PN: A Two-Stage Direction-Aware Spectral-Spatial Perceptual Network for Hyperspectral Image Reconstruction. IEEE Transactions on Computational Imaging. 10. 1346–1356. 1 indexed citations

8.

Qin, Anyong, et al.. (2024). Few-Shot Remote Sensing Scene Classification via Subspace Based on Multiscale Feature Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 13292–13307. 1 indexed citations

9.

Qin, Anyong, et al.. (2024). Layer-Wise Mutual Information Meta-Learning Network for Few-Shot Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9684–9698. 2 indexed citations

10.

Qin, Anyong, et al.. (2024). Few-Shot Learning With Prototype Rectification for Cross-Domain Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 5 indexed citations

11.

Qin, Anyong, Fuyang Chen, Qiang Li, et al.. (2024). Deep Updated Subspace Networks for Few-Shot Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 12 indexed citations

12.

Yang, Feng, et al.. (2024). Change-Aware Cascaded Dual-Decoder Network for Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 4 indexed citations

13.

Li, Yan, Wenlong Qi, Anyong Qin, et al.. (2023). Manifold clustering-based prediction for dynamic multiobjective optimization. Swarm and Evolutionary Computation. 77. 101254–101254. 19 indexed citations

14.

Qin, Anyong, et al.. (2023). Distance Constraint-Based Generative Adversarial Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 19 indexed citations

15.

Liu, Fangcen, Chenqiang Gao, Yongqing Sun, et al.. (2021). Infrared and Visible Cross-Modal Image Retrieval Through Shared Features. IEEE Transactions on Circuits and Systems for Video Technology. 31(11). 4485–4496. 21 indexed citations

16.

Yang, Feng, et al.. (2021). Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning. Remote Sensing. 13(23). 4774–4774. 8 indexed citations

17.

Qin, Anyong, et al.. (2020). Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm. Sensors. 20(21). 6111–6111. 1 indexed citations

18.

Qin, Anyong, Zhaowei Shang, Jinyu Tian, et al.. (2018). Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(7). 2501–2512. 5 indexed citations

19.

Shang, Zhaowei, et al.. (2018). Siamese Dense Neural Network for Software Defect Prediction With Small Data. IEEE Access. 7. 7663–7677. 39 indexed citations

20.

Qin, Anyong, Zhaowei Shang, Jinyu Tian, et al.. (2018). Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 16(2). 241–245. 297 indexed citations breakdown →

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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