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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:

Improving the undersampling technique by optimizing the termination condition for software defect prediction
Shuo Feng, Jacky Keung, Yan Xiao, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121084-121084
Closed Access | Times Cited: 17

Showing 17 citing articles:

A new chiller fault diagnosis method under the imbalanced data environment via combining an improved generative adversarial network with an enhanced deep extreme learning machine
Wenxin Yang, Hanyuan Zhang, Jit Bing Lim, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109218-109218
Closed Access | Times Cited: 18
Synthetic oversampling with Mahalanobis distance and local information for highly imbalanced class-overlapped data
Yuanting Yan, Lei Zheng, S. G. Han, et al.
Expert Systems with Applications (2024), pp. 125422-125422
Closed Access | Times Cited: 8
Capsule feature selector for software defect prediction
Yu Tang, Qi Dai, Ye Du, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Closed Access
Constructive sample partition-based parameter-free sampling for class-overlapped imbalanced data classification
Weiqing Wang, Yuanting Yan, Peng Zhou, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
SDC-estimator: an effectual software defect count estimation technique for the upcoming version of software project
Sushant Kumar Pandey, Anil Kumar Tripathi
Innovations in Systems and Software Engineering (2025)
Open Access
Semantics-based oversampling for imbalanced named entity recognition datasets using Word2Vec embeddings
Adel Belbekri, Wissem Bouarroudj, Fouzia Benchikha, et al.
Intelligent Data Analysis (2025)
Open Access
Nested Deep Learning with Learned Network Embeddings for Software Defect Prediction
Sweta Mehta, Lov Kumar, Sanjay Misra, et al.
Applied Soft Computing (2025), pp. 113057-113057
Open Access
A novel software defect prediction approach via weighted classification based on association rule mining
Wentao Wu, Shihai Wang, Bin Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107622-107622
Closed Access | Times Cited: 9
On the relative value of clustering techniques for Unsupervised Effort-Aware Defect Prediction
Peixin Yang, Lin Zhu, Yanjiao Zhang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123041-123041
Closed Access | Times Cited: 7
CIRA: Class imbalance resilient adaptive Gaussian process classifier
Salma Abdelmonem, Dina Elreedy, Samir I. Shaheen
Knowledge-Based Systems (2024) Vol. 304, pp. 112500-112500
Closed Access | Times Cited: 2
DBOS_US: a density-based graph under-sampling method to handle class imbalance and class overlap issues in software fault prediction
Kirti Bhandari, Kuldeep Kumar, Amrit Lal Sangal
The Journal of Supercomputing (2024) Vol. 80, Iss. 15, pp. 22682-22725
Closed Access | Times Cited: 1
Handling class overlap and imbalance using overlap driven under-sampling with balanced random forest in software defect prediction
Abdul Waheed Dar, Sheikh Umar Farooq
Innovations in Systems and Software Engineering (2024)
Closed Access | Times Cited: 1
Comparative Evaluation of Imbalanced Data Management Techniques for Solving Classification Problems on Imbalanced Datasets
Tanawan Watthaisong, Khamron Sunat, Nipotepat Muangkote
Statistics Optimization & Information Computing (2024) Vol. 12, Iss. 2, pp. 547-570
Open Access
Bug numbers matter: An empirical study of effort‐aware defect prediction using class labels versus bug numbers
Peixin Yang, Ziyao Zeng, Lin Zhu, et al.
Software Practice and Experience (2024)
Closed Access
Reinforcing defect prediction: a reinforcement learning approach to mitigate class imbalance in software defect prediction
Mahfooz Alam, Mohd Mustaqeem
Iran Journal of Computer Science (2024)
Closed Access
Instance gravity oversampling method for software defect prediction
Yu Tang, Yang Zhou, Cheng Yang, et al.
Information and Software Technology (2024), pp. 107657-107657
Closed Access
A Multi-model Software Defect Recommendation System
Vikas Suhag, Sanjay Kumar Dubey, Bhupendra Kumar Sharma
(2024), pp. 980-984
Closed Access
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