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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:

Adaptive weighted over-sampling for imbalanced datasets based on density peaks clustering with heuristic filtering
Xinmin Tao, Qing Li, Wenjie Guo, et al.
Information Sciences (2020) Vol. 519, pp. 43-73
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Review of Classification Methods on Unbalanced Data Sets
Le Wang, Meng Han, Xiaojuan Li, et al.
IEEE Access (2021) Vol. 9, pp. 64606-64628
Open Access | Times Cited: 158
SMOTified-GAN for Class Imbalanced Pattern Classification Problems
Anurag Sharma, Prabhat Kumar Singh, Rohitash Chandra
IEEE Access (2022) Vol. 10, pp. 30655-30665
Open Access | Times Cited: 69
Deep convolutional neural networks with genetic algorithm-based synthetic minority over-sampling technique for improved imbalanced data classification
Suja A. Alex, J. Jesu Vedha Nayahi, Sanaa Kaddoura
Applied Soft Computing (2024) Vol. 156, pp. 111491-111491
Closed Access | Times Cited: 15
Data Sampling Methods to Deal With the Big Data Multi-Class Imbalance Problem
Eréndira Rendón, R. Alejo, Carlos Castorena, et al.
Applied Sciences (2020) Vol. 10, Iss. 4, pp. 1276-1276
Open Access | Times Cited: 97
A three-way density peak clustering method based on evidence theory
Hui Yu, LuYuan Chen, JingTao Yao
Knowledge-Based Systems (2020) Vol. 211, pp. 106532-106532
Closed Access | Times Cited: 88
On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges
Swagatam Das, Sankha Subhra Mullick, Ivan Zelinka
IEEE Transactions on Artificial Intelligence (2022) Vol. 3, Iss. 6, pp. 973-993
Closed Access | Times Cited: 40
A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification
Zhaozhao Xu, Derong Shen, Yue Kou, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 3, pp. 3740-3753
Closed Access | Times Cited: 40
A semi-supervised resampling method for class-imbalanced learning
Zhen Jiang, Lingyun Zhao, Yu Lu, et al.
Expert Systems with Applications (2023) Vol. 221, pp. 119733-119733
Closed Access | Times Cited: 30
ASN-SMOTE: a synthetic minority oversampling method with adaptive qualified synthesizer selection
Xinkai Yi, Yingying Xu, Qian Hu, et al.
Complex & Intelligent Systems (2022) Vol. 8, Iss. 3, pp. 2247-2272
Open Access | Times Cited: 31
Density peak clustering algorithms: A review on the decade 2014–2023
Yizhang Wang, Jiaxin Qian, Muhammad Umair Hassan, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121860-121860
Closed Access | Times Cited: 20
A comprehensive study on the interplay between dataset characteristics and oversampling methods
Yue Yang, Tian Fang, Jinyang Hu, et al.
Journal of the Operational Research Society (2025), pp. 1-22
Closed Access
Density peaks clustering with gap-based automatic center detection
Kathia G. Flores, Sara E. Garza
Knowledge-Based Systems (2020) Vol. 206, pp. 106350-106350
Closed Access | Times Cited: 40
LDAS: Local density-based adaptive sampling for imbalanced data classification
Yuanting Yan, Yifei Jiang, Zhong Zheng, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116213-116213
Closed Access | Times Cited: 36
Multi-Participant Federated Feature Selection Algorithm with Particle Swarm Optimizaiton for Imbalanced Data under Privacy Protection
Ying Hu, Zhang Yon, Dunwei Gong, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 5, pp. 1002-1016
Closed Access | Times Cited: 22
NanBDOS: Adaptive and parameter-free borderline oversampling via natural neighbor search for class-imbalance learning
Qiangkui Leng, Jiamei Guo, Erjie Jiao, et al.
Knowledge-Based Systems (2023) Vol. 274, pp. 110665-110665
Closed Access | Times Cited: 14
An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation
Fan Li, Bo Wang, Yinghua Shen, et al.
Information Sciences (2023) Vol. 637, pp. 118955-118955
Closed Access | Times Cited: 12
Hellinger Distance Weighted Ensemble for imbalanced data stream classification
Joanna Grzyb, Jakub Klikowski, Michał Woźniak
Journal of Computational Science (2021) Vol. 51, pp. 101314-101314
Open Access | Times Cited: 30
Rapid identification of high-quality marine shale gas reservoirs based on the oversampling method and random forest algorithm
Linqi Zhu, Xueqing Zhou, Chaomo Zhang
Artificial Intelligence in Geosciences (2021) Vol. 2, pp. 76-81
Open Access | Times Cited: 28
Multiple adaptive over-sampling for imbalanced data evidential classification
Zhen Zhang, Hongpeng Tian, Jin-shuai Jin
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108532-108532
Closed Access | Times Cited: 3
ODBOT: Outlier detection-based oversampling technique for imbalanced datasets learning
Mohammed H. Ibrahim
Neural Computing and Applications (2021) Vol. 33, Iss. 22, pp. 15781-15806
Closed Access | Times Cited: 26
Evidential reasoning based ensemble classifier for uncertain imbalanced data
Chao Fu, Qianshan Zhan, Weiyong Liu
Information Sciences (2021) Vol. 578, pp. 378-400
Closed Access | Times Cited: 26
Improved CBSO: A distributed fuzzy-based adaptive synthetic oversampling algorithm for imbalanced judicial data
Feifan Dai, Yan Song, Weiyun Si, et al.
Information Sciences (2021) Vol. 569, pp. 70-89
Closed Access | Times Cited: 23
A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis
Abdul Sattar Palli, Jafreezal Jaafar, Manzoor Ahmed Hashmani, et al.
IEEE Access (2022) Vol. 10, pp. 118639-118653
Open Access | Times Cited: 16
A density-based oversampling approach for class imbalance and data overlap
Ruizhi Zhang, Shaowu Lu, Baokang Yan, et al.
Computers & Industrial Engineering (2023) Vol. 186, pp. 109747-109747
Closed Access | Times Cited: 9
Class-Imbalanced Voice Pathology Detection and Classification Using Fuzzy Cluster Oversampling Method
Ziqi Fan, Yuanbo Wu, Changwei Zhou, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3450-3450
Open Access | Times Cited: 22
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