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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:

Accelerator for crosswise computing reduct
Zehua Jiang, Keyu Liu, Jingjing Song, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106740-106740
Closed Access | Times Cited: 17

Showing 17 citing articles:

Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy
Damo Qian, Keyu Liu, Shiming Zhang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7750-7764
Closed Access | Times Cited: 11
Granular ball guided selector for attribute reduction
Yan Chen, Pingxin Wang, Xibei Yang, et al.
Knowledge-Based Systems (2021) Vol. 229, pp. 107326-107326
Closed Access | Times Cited: 40
Robust supervised rough granular description model with the principle of justifiable granularity
Hengrong Ju, Weiping Ding, Xibei Yang, et al.
Applied Soft Computing (2021) Vol. 110, pp. 107612-107612
Closed Access | Times Cited: 39
Incremental rough reduction with stable attribute group
Xin Yang, Miaomiao Li, Hamido Fujita, et al.
Information Sciences (2022) Vol. 589, pp. 283-299
Closed Access | Times Cited: 25
Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization
Keyu Liu, Tianrui Li, Xibei Yang, et al.
International Journal of Approximate Reasoning (2022) Vol. 148, pp. 57-67
Closed Access | Times Cited: 25
Granular-ball-matrix-based incremental semi-supervised feature selection approach to high-dimensional variation using neighbourhood discernibility degree for ordered partially labelled dataset
Weihua Xu, Jinlong Li
Applied Intelligence (2025) Vol. 55, Iss. 4
Closed Access
Feature selection using self-information uncertainty measures in neighborhood information systems
Jiucheng Xu, Kanglin Qu, Yuanhao Sun, et al.
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 4524-4540
Closed Access | Times Cited: 17
BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration
Hengrong Ju, Tingting Shan, Weiping Ding, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 8, pp. 4234-4247
Closed Access | Times Cited: 3
Triple-G: a new MGRS and attribute reduction
Jing Ba, Keyu Liu, Hengrong Ju, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 13, Iss. 2, pp. 337-356
Closed Access | Times Cited: 21
Neighbourhood discernibility degree-based semisupervised feature selection for partially labelled mixed-type data with granular ball
Wenhao Shu, Jianhui Yu, Ting Chen, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22467-22487
Closed Access | Times Cited: 7
A Q-learning approach to attribute reduction
Yuxin Liu, Zhice Gong, Keyu Liu, et al.
Applied Intelligence (2022) Vol. 53, Iss. 4, pp. 3750-3765
Closed Access | Times Cited: 11
A novel hierarchical feature selection method based on large margin nearest neighbor learning
Jian Zheng, Chuan Luo, Tianrui Li, et al.
Neurocomputing (2022) Vol. 497, pp. 1-12
Closed Access | Times Cited: 8
Bee: towards a robust attribute reduction
Yining Chen, Pingxin Wang, Xibei Yang, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 12, pp. 3927-3962
Closed Access | Times Cited: 8
Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction
Qihang Guo, Keyu Liu, Taihua Xu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124600-124600
Closed Access | Times Cited: 1
Ensemble selector mixed with pareto optimality to feature reduction
Zhenyu Yin, Xibei Yang, Pingxin Wang, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110877-110877
Closed Access | Times Cited: 3
Parallel Selector for Feature Reduction
Zhenyu Yin, Yan Fan, Pingxin Wang, et al.
Mathematics (2023) Vol. 11, Iss. 9, pp. 2084-2084
Open Access | Times Cited: 2
Multi-label learning based on neighborhood rough set label-specific features
Jiadong Zhang, Jingjing Song, Huige Li, et al.
International Journal of Approximate Reasoning (2024), pp. 109349-109349
Closed Access
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