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:

Fusion of progressive granular neural networks for pattern classification
D. Arun Kumar, Saroj K. Meher, K. Padma Kumari
Soft Computing (2018) Vol. 23, Iss. 12, pp. 4051-4064
Closed Access | Times Cited: 10

Showing 10 citing articles:

A classification method based on dominance neighborhood granularity
Bin Yu, Xu He, Weiping Ding
Knowledge-Based Systems (2025), pp. 113276-113276
Closed Access
Prediction Intervals for Granular Data Streams Based on Evolving Type-2 Fuzzy Granular Neural Network Dynamic Ensemble
Yang Liu, Jun Zhao, Wei Wang, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 4, pp. 874-888
Closed Access | Times Cited: 24
Bearing fault diagnosis algorithm based on granular computing
Xiaoyong Wang, Jianhua Yang, Wei Lu
Granular Computing (2022) Vol. 8, Iss. 2, pp. 333-344
Closed Access | Times Cited: 12
Rule-based granular classification: A hypersphere information granule-based method
Chen Fu, Wei Lu, Witold Pedrycz, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105500-105500
Closed Access | Times Cited: 19
An Energy-Saving Task Scheduling Model via Greedy Strategy under Cloud Environment
Shuaishuai Liu, Xinyu Ma, Yuanfei Jia, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 8
A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity
Xiubin Zhu, Witold Pedrycz, Zhiwu Li
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 12, pp. 3845-3858
Open Access | Times Cited: 11
Granular neural networks: The development of granular input spaces and parameters spaces through a hierarchical allocation of information granularity
Mingli Song, Yukai Jing
Information Sciences (2020) Vol. 517, pp. 148-166
Closed Access | Times Cited: 8
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
Multi-sensor based object tracking using enhanced particle swarm optimized multi-cue granular fusion
Rajiv Kapoor, Nikhil Kumar Singh, Aarchishya Kapoor
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42417-42438
Closed Access | Times Cited: 1
A novel granular approach for detecting dynamic online communities in social network
Hamideh Sadat Cheraghchi, Ali Zakerolhosseini, Saeed Bagheri Shouraki, et al.
Soft Computing (2018) Vol. 23, Iss. 20, pp. 10339-10360
Open Access | Times Cited: 1
Page 1

Scroll to top