Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 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

Showing 11 citing articles:

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: 199
Change Detection in Remote Sensing Image Data Comparing Algebraic and Machine Learning Methods
Anjali Goswami, Deepak Sharma, Harani Mathuku, et al.
Electronics (2022) Vol. 11, Iss. 3, pp. 431-431
Open Access | Times Cited: 92
Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery
Chandra Shekhar Yadav, Monoj K. Pradhan, Syam Machinathu Parambil Gangadharan, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2799-2799
Open Access | Times Cited: 41
Multi-view learning for hyperspectral image classification: An overview
Xuefei Li, Baodi Liu, Kai Zhang, et al.
Neurocomputing (2022) Vol. 500, pp. 499-517
Closed Access | Times Cited: 39
Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine
Jiaxin Cai, Tingting Chen, Qi Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence Modelling of Engine Performance and Emission Characteristics
Manjunath Patel Gowdru Chandrashekarappa, B. S. Ajith, Jagadish Jagadish, et al.
Springer optimization and its applications (2025), pp. 143-182
Closed Access
Deep Residual SVM: A Hybrid Learning Approach to obtain High Discriminative Feature for Land Use and Land Cover Classification
Neha Kumari, Sonajharia Minz
Procedia Computer Science (2023) Vol. 218, pp. 1454-1462
Open Access | Times Cited: 2
Deep hierarchical spectral-spatial feature fusion for hyperspectral image classification based on convolutional neural network
Somenath Bera, Naushad Varish, Syed Irfan Yaqoob, et al.
Intelligent Data Analysis (2024), pp. 1-25
Closed Access
Hyperspectral Remote Sensing Image Classification Using Active Learning
Vimal K. Shrivastava, Monoj K. Pradhan
Studies in computational intelligence (2020), pp. 133-152
Closed Access | Times Cited: 3
Entropy Query by Bagging-Based Active Learning Approach in the Extreme Learning Machine Framework for Hyperspectral Image Classification
Monoj K. Pradhan, Sonajharia Minz, Vimal K. Shrivastava
Current Science (2020) Vol. 119, Iss. 6, pp. 934-934
Open Access | Times Cited: 3
An Improved Ridge Regression-Based Extreme Learning Machine for the Prediction of Diabetes
Priya Das, Sarita Nanda
Lecture notes in electrical engineering (2021), pp. 541-547
Closed Access
Page 1

Scroll to top