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:

Gene selection for tumor classification using neighborhood rough sets and entropy measures
Yumin Chen, Zunjun Zhang, Jianzhong Zheng, et al.
Journal of Biomedical Informatics (2017) Vol. 67, pp. 59-68
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification
Lin Sun, Xiaoyu Zhang, Yuhua Qian, et al.
Information Sciences (2019) Vol. 502, pp. 18-41
Closed Access | Times Cited: 236

Feature Selection Based on Neighborhood Self-Information
Changzhong Wang, Yang Huang, Mingwen Shao, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 9, pp. 4031-4042
Closed Access | Times Cited: 216

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets
Lin Sun, Lanying Wang, Weiping Ding, et al.
IEEE Transactions on Fuzzy Systems (2020) Vol. 29, Iss. 1, pp. 19-33
Closed Access | Times Cited: 213

Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems
Lin Sun, Lanying Wang, Weiping Ding, et al.
Knowledge-Based Systems (2019) Vol. 192, pp. 105373-105373
Closed Access | Times Cited: 117

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification
Lin Sun, Xiaoyu Zhang, Yuhua Qian, et al.
Applied Intelligence (2018) Vol. 49, Iss. 4, pp. 1245-1259
Closed Access | Times Cited: 100

Hybrid data-driven outlier detection based on neighborhood information entropy and its developmental measures
Zhong Yuan, Xianyong Zhang, Feng Shan
Expert Systems with Applications (2018) Vol. 112, pp. 243-257
Closed Access | Times Cited: 91

A novel hybrid feature selection method considering feature interaction in neighborhood rough set
Jihong Wan, Hongmei Chen, Zhong Yuan, et al.
Knowledge-Based Systems (2021) Vol. 227, pp. 107167-107167
Closed Access | Times Cited: 76

Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions
Nivedhitha Mahendran, P. M. Durai Raj Vincent, Kathiravan Srinivasan, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 72

Heterogeneous Feature Selection Based on Neighborhood Combination Entropy
Pengfei Zhang, Tianrui Li, Zhong Yuan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 3, pp. 3514-3527
Closed Access | Times Cited: 66

Neighborhood rough sets with distance metric learning for feature selection
Xiaoling Yang, Hongmei Chen, Tianrui Li, et al.
Knowledge-Based Systems (2021) Vol. 224, pp. 107076-107076
Closed Access | Times Cited: 62

Class-specific information measures and attribute reducts for hierarchy and systematicness
Xianyong Zhang, Hong Yao, Zhiying Lv, et al.
Information Sciences (2021) Vol. 563, pp. 196-225
Open Access | Times Cited: 61

Feature Selection for Unbalanced Distribution Hybrid Data Based on ${k}$-Nearest Neighborhood Rough Set
Weihua Xu, Ziting Yuan, Zheng Liu
IEEE Transactions on Artificial Intelligence (2023) Vol. 5, Iss. 1, pp. 229-243
Closed Access | Times Cited: 22

Attribute reduction based on max-decision neighborhood rough set model
Xiaodong Fan, Weida Zhao, Changzhong Wang, et al.
Knowledge-Based Systems (2018) Vol. 151, pp. 16-23
Closed Access | Times Cited: 73

Neighborhood rough set-based three-way clustering considering attribute correlations: An approach to classification of potential gout groups
Xiaoli Chu, Bingzhen Sun, Xue Li, et al.
Information Sciences (2020) Vol. 535, pp. 28-41
Closed Access | Times Cited: 62

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems
Lin Sun, Lanying Wang, Yuhua Qian, et al.
Knowledge-Based Systems (2019) Vol. 186, pp. 104942-104942
Closed Access | Times Cited: 56

Artificial Bee Colony algorithm based on Dominance (ABCD) for a hybrid gene selection method
Veredas Coleto‐Alcudia, Miguel A. Vega‐Rodríguez
Knowledge-Based Systems (2020) Vol. 205, pp. 106323-106323
Closed Access | Times Cited: 52

Double-quantitative distance measurement and classification learning based on the tri-level granular structure of neighborhood system
Xianyong Zhang, Hongyuan Gou, Zhiying Lv, et al.
Knowledge-Based Systems (2021) Vol. 217, pp. 106799-106799
Open Access | Times Cited: 51

Outlier detection based on weighted neighbourhood information network for mixed-valued datasets
Yu Wang, Yupeng Li
Information Sciences (2021) Vol. 564, pp. 396-415
Closed Access | Times Cited: 45

AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data
Lin Sun, Mengmeng Li, Weiping Ding, et al.
Information Sciences (2022) Vol. 612, pp. 724-744
Closed Access | Times Cited: 31

Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity
Keyu Liu, Tianrui Li, Xibei Yang, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110679-110679
Closed Access | Times Cited: 17

A survey on single and multi omics data mining methods in cancer data classification
Zahra Momeni, Esmail Hassanzadeh, Mohammad Saniee Abadeh, et al.
Journal of Biomedical Informatics (2020) Vol. 107, pp. 103466-103466
Open Access | Times Cited: 49

Granule structures, distances and measures in neighborhood systems
Yumin Chen, Nan Qin, Wei Li, et al.
Knowledge-Based Systems (2018) Vol. 165, pp. 268-281
Closed Access | Times Cited: 48

Diagnosis of Rolling Bearing Based on Classification for High Dimensional Unbalanced Data
Hang Qi, Jinghui Yang, Lining Xing
IEEE Access (2019) Vol. 7, pp. 79159-79172
Open Access | Times Cited: 43

Feature selection using self-information and entropy-based uncertainty measure for fuzzy neighborhood rough set
Jiucheng Xu, Meng Yuan, Yuanyuan Ma
Complex & Intelligent Systems (2021) Vol. 8, Iss. 1, pp. 287-305
Open Access | Times Cited: 38

Mixed measure-based feature selection using the Fisher score and neighborhood rough sets
Lin Sun, Jiuxiao Zhang, Weiping Ding, et al.
Applied Intelligence (2022) Vol. 52, Iss. 15, pp. 17264-17288
Closed Access | Times Cited: 25

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