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:

Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification
Muhammad Ahmad, Manuel Mazzara, Rana Aamir Raza, et al.
Applied Sciences (2020) Vol. 10, Iss. 14, pp. 4739-4739
Open Access | Times Cited: 23

Showing 23 citing articles:

Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 15, pp. 968-999
Open Access | Times Cited: 250

A review of deep learning used in the hyperspectral image analysis for agriculture
Chunying Wang, Baohua Liu, Lipeng Liu, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 7, pp. 5205-5253
Closed Access | Times Cited: 205

A Fast and Compact 3-D CNN for Hyperspectral Image Classification
Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara, et al.
IEEE Geoscience and Remote Sensing Letters (2020) Vol. 19, pp. 1-5
Open Access | Times Cited: 177

Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey
Farhan Ullah, Irfan Ullah, Rehan Ullah Khan, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 3878-3916
Open Access | Times Cited: 37

Deep CNN and Deep GAN in Computational Visual Perception‐Driven Image Analysis
R. Abirami, P. M. Durai Raj Vincent, Kathiravan Srinivasan, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 65

Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning
Swalpa Kumar Roy, Ankur Deria, Danfeng Hong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 43

An end-to-end active learning framework for limited labelled hyperspectral image classification
Ali Can Karaca, Gökhan Bilgin
International Journal of Remote Sensing (2025), pp. 1-28
Closed Access | Times Cited: 1

An overview of hyperspectral image feature extraction, classification methods and the methods based on small samples
Xueying Li, Zongmin Li, Huimin Qiu, et al.
Applied Spectroscopy Reviews (2021) Vol. 58, Iss. 6, pp. 367-400
Closed Access | Times Cited: 37

Hyperspectral Imaging for Bloodstain Identification
Maheen Zulfiqar, Muhammad Ahmad, Ahmed Sohaib, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3045-3045
Open Access | Times Cited: 36

Artifacts of different dimension reduction methods on hybrid CNN feature hierarchy for Hyperspectral Image Classification
Muhammad Ahmad, Sidrah Shabbir, Rana Aamir Raza, et al.
Optik (2021) Vol. 246, pp. 167757-167757
Closed Access | Times Cited: 34

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification
Muhammad Ahmad, Usman Ghous, Danfeng Hong, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 23

Hyperspectral Imaging for Minced Meat Classification Using Nonlinear Deep Features
Hamail Ayaz, Muhammad Ahmad, Manuel Mazzara, et al.
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7783-7783
Open Access | Times Cited: 37

Hyperspectral Imaging for Color Adulteration Detection in Red Chili
Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5955-5955
Open Access | Times Cited: 34

Prediction of Microbial Spoilage and Shelf-Life of Bakery Products Through Hyperspectral Imaging
Zainab Saleem, Muhammad Hussain Khan, Muhammad Ahmad, et al.
IEEE Access (2020) Vol. 8, pp. 176986-176996
Open Access | Times Cited: 33

Multiview Spatial–Spectral Active Learning for Hyperspectral Image Classification
Meng Xu, Qingqing Zhao, Sen Jia
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-15
Closed Access | Times Cited: 30

An extended DeLone and McLean’s model to determine the success factors of e-learning platform
Raed Shujaa Alotaibi, Saeed M. Alshahrani
PeerJ Computer Science (2022) Vol. 8, pp. e876-e876
Open Access | Times Cited: 19

Species classification and origin identification of Lonicerae japonicae flos and Lonicerae flos using hyperspectral imaging with support vector machine
Jun Wang, Zeyi Cai, Jin Chen, et al.
Journal of Food Composition and Analysis (2024) Vol. 132, pp. 106356-106356
Closed Access | Times Cited: 4

Iterative Training Sampling Coupled With Active Learning for Semisupervised Spectral–Spatial Hyperspectral Image Classification
Kenneth Yeonkong, Chein‐I Chang
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 10, pp. 8672-8692
Closed Access | Times Cited: 24

Spectral–Spatial Graph Attention Network for Semisupervised Hyperspectral Image Classification
Zhengang Zhao, Hao Wang, Xianchuan Yu
IEEE Geoscience and Remote Sensing Letters (2021) Vol. 19, pp. 1-5
Closed Access | Times Cited: 21

Myoglobin-Based Classification of Minced Meat Using Hyperspectral Imaging
Hamail Ayaz, Muhammad Ahmad, Ahmed Sohaib, et al.
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6862-6862
Open Access | Times Cited: 23

Spatiotemporal Analysis of Web News Archives for Crime Prediction
Areeba Umair, Muhammad Shahzad Sarfraz, Muhammad Ahmad, et al.
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8220-8220
Open Access | Times Cited: 23

Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN.
Muhammad Ahmad, Sidrah Shabbir, Rana Aamir Raza, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2

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