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:

Knowledge-Based Progressive Granular Neural Networks for Remote Sensing Image Classification
D. Arun Kumar, Saroj K. Meher, K. Padma Kumari
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017) Vol. 10, Iss. 12, pp. 5201-5212
Closed Access | Times Cited: 13

Showing 13 citing articles:

A Feature Discretization Method Based on Fuzzy Rough Sets for High-Resolution Remote Sensing Big Data Under Linear Spectral Model
Qiong Chen, Mengxing Huang, Hao Wang, et al.
IEEE Transactions on Fuzzy Systems (2021) Vol. 30, Iss. 5, pp. 1328-1342
Open Access | Times Cited: 32

Granular neural networks: A study of optimizing allocation of information granularity in input space
Mingli Song, Yukai Jing, Witold Pedrycz
Applied Soft Computing (2019) Vol. 77, pp. 67-75
Closed Access | Times Cited: 20

Systematic analysis of satellite image-based land cover classification techniques: literature review and challenges
Anil B. Gavade, Vijay S. Rajpurohit
International Journal of Computers and Applications (2019) Vol. 43, Iss. 6, pp. 514-523
Closed Access | Times Cited: 15

GrI-CNN: Granulated Deep Learning Model With Interpretable Architecture for Remote Sensing Image Classification
Sankar K. Pal, D. Arun Kumar, Saroj K. Meher
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-12
Closed Access | Times Cited: 1

A multivariable optical remote sensing image feature discretization method applied to marine vessel targets recognition
Mengxing Huang, Qiong Chen, Hao Wang
Multimedia Tools and Applications (2019) Vol. 79, Iss. 7-8, pp. 4597-4618
Open Access | Times Cited: 10

Adaptive Granular Neural Networks for Remote Sensing Image Classification
D. Arun Kumar, Saroj K. Meher, K. Padma Kumari
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018) Vol. 11, Iss. 6, pp. 1848-1857
Closed Access | Times Cited: 8

Granular space, knowledge-encoded deep learning architecture and remote sensing image classification
Saroj K. Meher
Engineering Applications of Artificial Intelligence (2020) Vol. 92, pp. 103647-103647
Closed Access | Times Cited: 7

Regional land planning based on BPNN and space mining technology
Lei Su, Linhan Fu
Neural Computing and Applications (2020) Vol. 33, Iss. 10, pp. 5241-5255
Closed Access | Times Cited: 7

Classification of Land Cover Remote-Sensing Images Based on Pattern Recognition
Haoyan Xie, Hai Huang
Scientific Programming (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 3

Adaptive Granulation-Based Convolutional Neural Networks With Single Pass Learning for Remote Sensing Image Classification
Sankar K. Pal, D. Arun Kumar
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 16, pp. 57-70
Open Access | Times Cited: 3

An Object-Oriented Semi-Supervised Land-Use/Land-Cover Change Detection Method Based on Siamese Autoencoder Graph Attention Network
Yifan Wu, Zhiwei Xie, Zaiyang Ma, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6478-6500
Open Access

Correction of training process in object-based image interpretation via knowledge based system capabilities
Abbas Kiani, Farshid Farnood Ahmadi, Hamid Ebadi
Multimedia Tools and Applications (2021)
Closed Access | Times Cited: 3

A Rating Prediction Recommendation Model Combined with the Optimizing Allocation for Information Granularity of Attributes
Jianfei Li, Yongbin Wang, Zhulin Tao
Information (2022) Vol. 13, Iss. 1, pp. 21-21
Open Access | Times Cited: 1

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