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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 Spectral-Spatial Multicriteria Active Learning Technique for Hyperspectral Image Classification
Swarnajyoti Patra, Kaushal Bhardwaj, Lorenzo Bruzzone
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017) Vol. 10, Iss. 12, pp. 5213-5227
Closed Access | Times Cited: 48

Showing 1-25 of 48 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: 244
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: 34
Hyperspectral Image Classification: Potentials, Challenges, and Future Directions
Debaleena Datta, Pradeep Kumar Mallick, Akash Kumar Bhoi, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-36
Open Access | Times Cited: 63
Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images
Muhammad Ahmad, Asad Khan, Adil Khan, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1136-1136
Open Access | Times Cited: 71
Active Semi-Supervised Random Forest for Hyperspectral Image Classification
Youqiang Zhang, Guo Cao, Xuesong Li, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 2974-2974
Open Access | Times Cited: 52
Variable precision rough set based unsupervised band selection technique for hyperspectral image classification
Barnali Barman, Swarnajyoti Patra
Knowledge-Based Systems (2019) Vol. 193, pp. 105414-105414
Closed Access | Times Cited: 46
A smart assistance system for cable assembly by combining wearable augmented reality with portable visual inspection
Lianyu Zheng, Xinyu Liu, Zewu An, et al.
Virtual Reality & Intelligent Hardware (2020) Vol. 2, Iss. 1, pp. 12-27
Open Access | Times Cited: 45
An unsupervised technique for optimal feature selection in attribute profiles for spectral-spatial classification of hyperspectral images
Kaushal Bhardwaj, Swarnajyoti Patra
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 138, pp. 139-150
Closed Access | Times Cited: 43
Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification
Yao Qin, Lorenzo Bruzzone, Biao Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 6, pp. 3952-3966
Open Access | Times Cited: 38
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
Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery
Jiaojiao Li, Bobo Xi, Qian Du, et al.
Remote Sensing (2018) Vol. 10, Iss. 12, pp. 2036-2036
Open Access | Times Cited: 33
Hyperspectral Image Classification Based on Class-Incremental Learning with Knowledge Distillation
Meng Xu, Yuanyuan Zhao, Liang Yajun, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2556-2556
Open Access | Times Cited: 13
A novel active learning framework for classification: Using weighted rank aggregation to achieve multiple query criteria
Yu Zhao, Zhenhui Shi, Jingyang Zhang, et al.
Pattern Recognition (2019) Vol. 93, pp. 581-602
Open Access | Times Cited: 22
A Novel Approach to the Unsupervised Extraction of Reliable Training Samples From Thematic Products
Claudia Paris, Lorenzo Bruzzone
IEEE Transactions on Geoscience and Remote Sensing (2020) Vol. 59, Iss. 3, pp. 1930-1948
Open Access | Times Cited: 20
Evolutionary Multitask Ensemble Learning Model for Hyperspectral Image Classification
Jiao Shi, Tao Shao, Xiaodong Liu, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 936-950
Open Access | Times Cited: 20
Named Entity Recognition using CRF with Active Learning Algorithm in English Texts
B. VeerasekharReddy, Koppula Srinivas Rao, Neeraja Koppula
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022), pp. 1041-1044
Closed Access | Times Cited: 12
Threshold-Free Attribute Profile for Classification of Hyperspectral Images
Kaushal Bhardwaj, Swarnajyoti Patra, Lorenzo Bruzzone
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 10, pp. 7731-7742
Closed Access | Times Cited: 17
A Low-Cost Named Entity Recognition Research Based on Active Learning
Han Huang, Hongyu Wang, Dawei Jin
Scientific Programming (2018) Vol. 2018, pp. 1-10
Open Access | Times Cited: 16
Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers
Amos Bortiew, Swarnajyoti Patra, Lorenzo Bruzzone
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Open Access | Times Cited: 5
Autolabeling-Enhanced Active Learning for Cost-Efficient Surface Defect Visual Classification
Hua Yang, Kaiyou Song, Fangqin Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-15
Closed Access | Times Cited: 14
Superpixel-Based Multiple Statistical Feature Extraction Method for Classification of Hyperspectral Images
Dan Li, Fanqiang Kong, Jiahang Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 10, pp. 8738-8753
Closed Access | Times Cited: 12
Subpixel Component Analysis for Hyperspectral Image Classification
Xiang Xu, Jun Li, Shutao Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2019) Vol. 57, Iss. 8, pp. 5564-5579
Closed Access | Times Cited: 13
A Kernel-Based Extreme Learning Machine Framework for Classification of Hyperspectral Images Using Active Learning
Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava
Journal of the Indian Society of Remote Sensing (2019) Vol. 47, Iss. 10, pp. 1693-1705
Closed Access | Times Cited: 11
Fast active learning for hyperspectral image classification using extreme learning machine
Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava
IET Image Processing (2018) Vol. 13, Iss. 4, pp. 549-555
Closed Access | Times Cited: 10
Morphological complexity profile for the analysis of hyperspectral images
Arundhati Das, Kaushal Bhardwaj, Swarnajyoti Patra
(2018), pp. 1-6
Closed Access | Times Cited: 9
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