Ning Huyan

513 total citations
16 papers, 390 citations indexed

About

Ning Huyan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Ning Huyan has authored 16 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Media Technology, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Ning Huyan's work include Remote-Sensing Image Classification (10 papers), Sparse and Compressive Sensing Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ning Huyan is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Sparse and Compressive Sensing Techniques (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Ning Huyan collaborates with scholars based in China, France and United Kingdom. Ning Huyan's co-authors include Licheng Jiao, Xiangrong Zhang, Huiyu Zhou, Dou Quan, Jocelyn Chanussot, Xiangrong Zhang, Chen Li, Xuefeng Liang, Shuang Wang and Xiaoxiao Ma and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Ning Huyan

15 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Huyan China 9 281 142 137 89 54 16 390
Xianchang Yang China 10 259 0.9× 115 0.8× 105 0.8× 79 0.9× 37 0.7× 12 357
Xi Cheng China 12 261 0.9× 79 0.6× 137 1.0× 94 1.1× 74 1.4× 20 396
Pei Xiang China 9 326 1.2× 98 0.7× 147 1.1× 51 0.6× 33 0.6× 22 361
Zengfu Hou China 10 497 1.8× 230 1.6× 182 1.3× 93 1.0× 121 2.2× 12 583
Qiang Ling China 10 280 1.0× 112 0.8× 86 0.6× 75 0.8× 74 1.4× 26 338
Ricardo Augusto Borsoi France 9 249 0.9× 66 0.5× 134 1.0× 32 0.4× 21 0.4× 32 342
Yenming Mark Lai United States 4 402 1.4× 234 1.6× 128 0.9× 61 0.7× 17 0.3× 6 438
Wenbo Yu China 10 159 0.6× 76 0.5× 72 0.5× 43 0.5× 22 0.4× 45 281
Frédéric Falzon France 7 138 0.5× 45 0.3× 310 2.3× 34 0.4× 28 0.5× 28 456
Alper Koz Türkiye 12 159 0.6× 59 0.4× 397 2.9× 58 0.7× 19 0.4× 39 556

Countries citing papers authored by Ning Huyan

Since Specialization
Citations

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

Fields of papers citing papers by Ning Huyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Huyan

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

All Works

16 of 16 papers shown
1.
Wang, Shuang, et al.. (2025). Burden-Free Distillation From Foundation Model for Efficient Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
2.
Chen, Puhua, et al.. (2024). Dual-Branch Residual Disentangled Adversarial Learning Network for Facial Expression Recognition. IEEE Signal Processing Letters. 31. 1840–1844. 3 indexed citations
3.
Quan, Dou, Shuang Wang, Ning Huyan, et al.. (2022). A Concurrent Multiscale Detector for End-to-End Image Matching. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 3560–3574. 4 indexed citations
4.
Huyan, Ning, Dou Quan, Xiangrong Zhang, et al.. (2022). Unsupervised Outlier Detection Using Memory and Contrastive Learning. IEEE Transactions on Image Processing. 31. 6440–6454. 21 indexed citations
5.
Huyan, Ning, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, & Licheng Jiao. (2022). AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 6835–6849. 18 indexed citations
6.
Huyan, Ning, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, & Licheng Jiao. (2022). Cluster-Memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 24 indexed citations
7.
Quan, Dou, Shuang Wang, Ning Huyan, et al.. (2021). Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching. IEEE Transactions on Neural Networks and Learning Systems. 33(8). 3372–3386. 11 indexed citations
8.
Quan, Dou, Shuang Wang, Yi Li, et al.. (2021). Multi-Relation Attention Network for Image Patch Matching. IEEE Transactions on Image Processing. 30. 7127–7142. 22 indexed citations
9.
Ma, Xiaoxiao, Xiangrong Zhang, Ning Huyan, et al.. (2021). Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 5 indexed citations
10.
Zhang, Xiangrong, Xiaoxiao Ma, Ning Huyan, et al.. (2021). Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 59(12). 10364–10377. 34 indexed citations
11.
Quan, Dou, Xuefeng Liang, Shuang Wang, et al.. (2019). AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching. 3017–3026. 34 indexed citations
12.
Huyan, Ning, Xiangrong Zhang, Huiyu Zhou, & Licheng Jiao. (2018). Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction. IEEE Transactions on Geoscience and Remote Sensing. 57(4). 2263–2276. 131 indexed citations
13.
Ma, Xiaoxiao, Xiangrong Zhang, Ning Huyan, et al.. (2018). Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection. 6380–6383. 2 indexed citations
14.
Zhang, Xiangrong, Ning Huyan, Chen Li, et al.. (2018). Spatial-Spectral Graph-Based Nonlinear Embedding Dimensionality Reduction for Hyperspectral Image Classificaiton. 8472–8475. 3 indexed citations
15.
Zhang, Xiangrong, et al.. (2017). Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 14(11). 1928–1932. 77 indexed citations
16.
Zhang, Xiangrong, Ning Huyan, Nan Zhou, & Jinliang An. (2016). Semi-supervised sparse dimensionality reduction for hyperspectral image classification. 2830–2833. 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.

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