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:

An Encoder–Decoder Convolution Network With Fine-Grained Spatial Information for Hyperspectral Images Classification
Zhongwei Li, Fangming Guo, Qi Li, et al.
IEEE Access (2020) Vol. 8, pp. 33600-33608
Open Access | Times Cited: 9

Showing 9 citing articles:

RDTN: Residual Densely Transformer Network for hyperspectral image classification
Yan Li, Xiaofei Yang, Dong Tang, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123939-123939
Closed Access | Times Cited: 8

Hyperspectral Image Classification Based on Superpixel Pooling Convolutional Neural Network with Transfer Learning
Fuding Xie, Quanshan Gao, Cui Jin, et al.
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 930-930
Open Access | Times Cited: 52

NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning
Shanchen Pang, Pengfei Xie, Danya Xu, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1860-1860
Open Access | Times Cited: 34

A Pixel Cluster CNN and Spectral-Spatial Fusion Algorithm for Hyperspectral Image Classification With Small-Size Training Samples
Shuxian Dong, Yinghui Quan, Wei Feng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 4101-4114
Open Access | Times Cited: 32

Dual Graph U-Nets for Hyperspectral Image Classification
Fangming Guo, Zhongwei Li, Ziqi Xin, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 8160-8170
Open Access | Times Cited: 19

Rdtn: Residual Densely Transformer Network for Hyperspectral Image Classification
Yan Li, Xiaofei Yang, Dong Tang, et al.
(2024)
Closed Access | Times Cited: 2

Tropical cyclone intensity estimation through convolutional neural network transfer learning using two geostationary satellite datasets
Hyeyoon Jung, You-Hyun Baek, Il‐Ju Moon, et al.
Frontiers in Earth Science (2024) Vol. 11
Open Access | Times Cited: 1

Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks
Xuan Tung Nguyen, Giang Son Tran
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 527-538
Closed Access | Times Cited: 3

North Indian Ocean Tropical Cyclone Detection Using YOLOv5
Manish Mawatwal, Saurabh Das
(2024), pp. 1-5
Closed Access

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