OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A lightweight dense relation network with attention for hyperspectral image few-shot classification
Meilin Shi, Jiansi Ren
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106993-106993
Closed Access | Times Cited: 11

Showing 11 citing articles:

Medical hyperspectral image classification based weakly supervised single-image global learning network
Chenglong Zhang, Lichao Mou, Shihao Shan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108042-108042
Closed Access | Times Cited: 8

Optimization model based on attention mechanism for few-shot image classification
Ruizhi Liao, Junhai Zhai, Feng Zhang
Machine Vision and Applications (2024) Vol. 35, Iss. 2
Closed Access | Times Cited: 5

Hyperspectral Image Classification via Cascaded Spatial Cross-Attention Network
Bo Zhang, Yaxiong Chen, Shengwu Xiong, et al.
IEEE Transactions on Image Processing (2025) Vol. 34, pp. 899-913
Closed Access

A collaborative network via multi-head sparse and high-low frequency interaction for hyperspectral image classification
Qikang Liu, Shuaishuai Fan, Weiming Li, et al.
Neurocomputing (2025), pp. 129541-129541
Closed Access

A frequency and topology interaction network for hyperspectral image classification
Shuaishuai Fan, Qikang Liu, Weiming Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108234-108234
Closed Access | Times Cited: 2

Advanced Global Prototypical Segmentation Framework for Few-Shot Hyperspectral Image Classification
Kunming Xia, Guowu Yuan, Mengen Xia, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5386-5386
Open Access | Times Cited: 1

Spectral–Spatial Adaptive Weighted Fusion and Residual Dense Network for hyperspectral image classification
Junding Sun, Hongyuan Zhang, Xiaoxiao Ma, et al.
The Egyptian Journal of Remote Sensing and Space Science (2024) Vol. 28, Iss. 1, pp. 21-33
Closed Access | Times Cited: 1

Semi-supervised few-shot class-incremental learning based on dynamic topology evolution
Wenqi Han, Kai Huang, Jie Geng, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108528-108528
Closed Access

Attention-Based Sample Adaptation Few-Shot Learning for Hyperspectral Image Classification
Yuefeng Zhao, Jingqi Sun, Chengmin Zai, et al.
Research Square (Research Square) (2024)
Open Access

Generalized few-shot learning for crop hyperspectral image precise classification
Haotian Yuan, Ke-Kun Huang, Jieli Duan, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109498-109498
Closed Access

Residual channel attention based sample adaptation few-shot learning for hyperspectral image classification
Yuefeng Zhao, Jingqi Sun, Nannan Hu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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