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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:

An empirical study of a hybrid imbalanced-class DT-RST classification procedure to elucidate therapeutic effects in uremia patients
You‐Shyang Chen
Medical & Biological Engineering & Computing (2016) Vol. 54, Iss. 6, pp. 983-1001
Closed Access | Times Cited: 22

Showing 22 citing articles:

Learning from class-imbalanced data: Review of methods and applications
Haixiang Guo, Yijing Li, Jennifer Shang, et al.
Expert Systems with Applications (2016) Vol. 73, pp. 220-239
Closed Access | Times Cited: 1911
An insight into imbalanced Big Data classification: outcomes and challenges
Alberto Fernández, Sara del Río, Nitesh V. Chawla, et al.
Complex & Intelligent Systems (2017) Vol. 3, Iss. 2, pp. 105-120
Open Access | Times Cited: 208
Multi-Imbalance: An open-source software for multi-class imbalance learning
Chongsheng Zhang, Jingjun Bi, Shixin Xu, et al.
Knowledge-Based Systems (2019) Vol. 174, pp. 137-143
Closed Access | Times Cited: 153
Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
Kandala N. V. P. S. Rajesh, Ravindra Dhuli
Biomedical Signal Processing and Control (2017) Vol. 41, pp. 242-254
Closed Access | Times Cited: 145
Utilizing machine learning and CMIP6 projections for short-term agricultural drought monitoring in central Europe (1900–2100)
Safwan Mohammed, Sana Arshad, Firas Alsilibe, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130968-130968
Open Access | Times Cited: 12
Clinical risk assessment of chronic kidney disease patients using genetic programming
Arvind Kumar, Nishant Sinha, Arpit Bhardwaj, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2021) Vol. 25, Iss. 8, pp. 887-895
Closed Access | Times Cited: 40
Two density-based sampling approaches for imbalanced and overlapping data
Sima Mayabadi, Hamid Saadatfar
Knowledge-Based Systems (2022) Vol. 241, pp. 108217-108217
Closed Access | Times Cited: 36
Multiple Instance Learning
Francisco Herrera, Sebastián Ventura, Rafael Bello, et al.
Springer eBooks (2016)
Closed Access | Times Cited: 60
Imbalanced classification: A paradigm‐based review
Yang Feng, Min Zhou, Xin Tong
Statistical Analysis and Data Mining The ASA Data Science Journal (2021) Vol. 14, Iss. 5, pp. 383-406
Open Access | Times Cited: 33
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach
Sarah Vluymans, Alberto Fernández, Yvan Saeys, et al.
Knowledge and Information Systems (2017) Vol. 56, Iss. 1, pp. 55-84
Closed Access | Times Cited: 34
Imbalanced credit risk evaluation based on multiple sampling, multiple kernel fuzzy self-organizing map and local accuracy ensemble
Lu Wang, Yuangao Chen, Hui Jiang, et al.
Applied Soft Computing (2020) Vol. 91, pp. 106262-106262
Closed Access | Times Cited: 31
Multi-Class Imbalanced Data Handling with Concept Drift in Fog Computing: A Taxonomy, Review, and Future Directions
Farhana Sharief, Humaira Ijaz, Mohammad Shojafar, et al.
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-48
Open Access | Times Cited: 2
WISP1 silencing confers protection against epithelial–mesenchymal transition of renal tubular epithelial cells in rats via inactivation of the wnt/β‐catenin signaling pathway in uremia
Yuan‐Zhen Chen, Dan‐Qin Sun, Yi Zheng, et al.
Journal of Cellular Physiology (2018) Vol. 234, Iss. 6, pp. 9673-9686
Closed Access | Times Cited: 15
DK-MS: an efficient method for solving imbalanced Big Data classification problems
Benabderrahmane Moutassem, Laouni Djafri, Gafour Abdelkader
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 2, pp. e9671-e9671
Open Access | Times Cited: 1
Imbalanced Classification with Multiple Classes
Alberto Fernández, Salvador García, Mikel Galar, et al.
Springer eBooks (2018), pp. 197-226
Closed Access | Times Cited: 8
Multiple Kernel Learning With Minority Oversampling for Classifying Imbalanced Data
Ling Wang, Hongqiao Wang, Guangyuan Fu
IEEE Access (2020) Vol. 9, pp. 565-580
Open Access | Times Cited: 7
Applied Identification of Industry Data Science Using an Advanced Multi-Componential Discretization Model
You‐Shyang Chen, Arun Kumar Sangaiah, Sufen Chen, et al.
Symmetry (2020) Vol. 12, Iss. 10, pp. 1620-1620
Open Access | Times Cited: 6
Classification of ECG Heartbeat Using Deep Convolutional Neural Network
Saroj Kumar Pandey, Rekh Ram Janghel, K. N. V. Suresh Varma
Algorithms for intelligent systems (2020), pp. 27-47
Closed Access | Times Cited: 3
Imbalanced Multi-instance Data
Francisco Herrera, Sebastián Ventura, Rafael Bello, et al.
Springer eBooks (2016), pp. 191-208
Closed Access | Times Cited: 1
Imbalanced classification: a paradigm-based review
Yang Feng, Min Zhou, Xin Tong
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
Investigation of Imbalanced Big Data Set Classification: Clustering Minority Samples Over Sampling Technique
Sachin Patil, Shefali Sonavane
Advances in intelligent systems and computing (2020), pp. 299-310
Closed Access
Technical design: data processing pipeline in eHealth
Patrick Schneider, Fatos Xhafa
Elsevier eBooks (2022), pp. 259-283
Closed Access
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