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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:

A Survey on ensemble learning under the era of deep learning
Yongquan Yang, Haijun Lv, Ning Chen
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 5545-5589
Closed Access | Times Cited: 147

Showing 1-25 of 147 citing articles:

A survey on imbalanced learning: latest research, applications and future directions
Wuxing Chen, Kaixiang Yang, Zhiwen Yu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 47
Ensemble deep learning for Alzheimer’s disease characterization and estimation
M. Tanveer, Tushar Goel, Rahul Sharma, et al.
Nature Mental Health (2024) Vol. 2, Iss. 6, pp. 655-667
Closed Access | Times Cited: 16
A survey of multimodal hybrid deep learning for computer vision: Architectures, applications, trends, and challenges
Khaled Bayoudh
Information Fusion (2023) Vol. 105, pp. 102217-102217
Closed Access | Times Cited: 29
A Meta-Heuristic Multi-Objective Optimization Method for Alzheimer’s Disease Detection Based on Multi-Modal Data
Walaa N. Ismail, Fathimathul Rajeena P. P., Mona A. S. Ali
Mathematics (2023) Vol. 11, Iss. 4, pp. 957-957
Open Access | Times Cited: 27
Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s
Dongxu Bai, Gongfa Li, Du Jiang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107697-107697
Closed Access | Times Cited: 24
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
Peng Jiang, Xuekong Li, Hui Shen, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2687-2758
Open Access | Times Cited: 23
Fostering sustainable mining practices in rock blasting: Assessment of blast toe volume prediction using comparative analysis of hybrid ensemble machine learning techniques
Esma Kahraman, Shahab Hosseini, Blessing Olamide Taiwo, et al.
Journal of Safety and Sustainability (2024) Vol. 1, Iss. 2, pp. 75-88
Open Access | Times Cited: 11
Failure prediction and optimization for composite pressure vessel combining FEM simulation and machine learning approach
Qingfeng Wang, Huasong Qin, Liyong Jia, et al.
Composite Structures (2024) Vol. 337, pp. 118099-118099
Closed Access | Times Cited: 10
Bearing fault detection by using graph autoencoder and ensemble learning
Meng Wang, Jiong Yu, Hongyong Leng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence
Fakhar Abbas, Araz Taeihagh
Expert Systems with Applications (2024) Vol. 252, pp. 124260-124260
Open Access | Times Cited: 9
Integrating Bio-Electrochemical Sensors and Machine Learning to Predict the Efficacy of Biological Nutrient Removal Processes at Water Resource Recovery Facilities
Seyed Aryan Emaminejad, Jeff Sparks, Roland D. Cusick
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 18372-18381
Closed Access | Times Cited: 18
Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
Supply Chain Analytics (2023) Vol. 3, pp. 100024-100024
Open Access | Times Cited: 17
Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends
Jun Wang, Mao Li, Martin Skitmore, et al.
Sustainability (2024) Vol. 16, Iss. 6, pp. 2290-2290
Open Access | Times Cited: 7
An optimized fusion of deep learning models for kidney stone detection from CT images
Sohaib Asif, Xiaolong Zheng, Yusen Zhu
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102130-102130
Open Access | Times Cited: 7
Exploring the Molecular Interaction of PCOS and Endometrial Carcinoma through Novel Hyperparameter-Optimized Ensemble Clustering Approaches
Pınar Karadayı Ataş
Mathematics (2024) Vol. 12, Iss. 2, pp. 295-295
Open Access | Times Cited: 6
A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT
R Gayathri, S. Maheswari, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Collaborative graph neural networks for augmented graphs: A local-to-global perspective
Qihang Guo, Xibei Yang, Ming Li, et al.
Pattern Recognition (2024), pp. 111020-111020
Closed Access | Times Cited: 5
Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training
Rui Zhong, Chao Zhang, Jun Yu
Alexandria Engineering Journal (2024) Vol. 110, pp. 77-98
Open Access | Times Cited: 5
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning
Xiaoli Tang, Han Yu
ACM Computing Surveys (2025)
Open Access
Application of Ensemble Learning Based on High-Dimensional Features in Financial Big Data
Yexin Zhang, Yunhao Li, Gaoming Zhang, et al.
Lecture notes in computer science (2025), pp. 117-130
Closed Access
An accurate prediction of the physicochemical properties of traditional Chinese medicine granules using a multi-source data model fusion strategy based on deep ensemble learning algorithms
Xin-Hao Wan, Xiaorong Luo, Ming Yang, et al.
Microchemical Journal (2025), pp. 112790-112790
Closed Access
An Ensemble Approach with Evolutionary Algorithm for Hand Posture Classification
Takenori Obo, Eri Sato-Shimokawara, Hiroki Shibata, et al.
Journal of Advanced Computational Intelligence and Intelligent Informatics (2025) Vol. 29, Iss. 1, pp. 95-105
Open Access
Combining various Training and Adaptation Algorithms for Ensemble Few-Shot Classification
Zhen Jiang, Na Tang, Jie Sun, et al.
Neural Networks (2025), pp. 107211-107211
Closed Access
Structured Basis Function Network for Enhanced Multi-Hypothesis Prediction Using Parametric Diversity
Alejandro Rodríguez Domínguez
(2025)
Closed Access
Applications of Predictive Modeling for Various Properties of Ionic Liquids
Shahram Lotfi, Shahin Ahmadi, Parvin Kumar, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 205-229
Closed Access
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