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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:

Recommendation system based on deep learning methods: a systematic review and new directions
Aminu Da’u, Naomie Salim
Artificial Intelligence Review (2019) Vol. 53, Iss. 4, pp. 2709-2748
Closed Access | Times Cited: 288

Showing 1-25 of 288 citing articles:

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Iqbal H. Sarker
SN Computer Science (2021) Vol. 2, Iss. 6
Open Access | Times Cited: 1537
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu, Fei Sun, Wentao Zhang, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-37
Open Access | Times Cited: 662
AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems
Iqbal H. Sarker
SN Computer Science (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 662
Application of deep learning algorithms in geotechnical engineering: a short critical review
Wengang Zhang, Hongrui Li, Yongqin Li, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 8, pp. 5633-5673
Closed Access | Times Cited: 402
Deep learning modelling techniques: current progress, applications, advantages, and challenges
Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13521-13617
Open Access | Times Cited: 352
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 281
A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks
Mir Riyanul Islam, Mobyen Uddin Ahmed, Shaibal Barua, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1353-1353
Open Access | Times Cited: 211
Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review
Abdulalem Ali, Shukor Abd Razak, Siti Hajar Othman, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9637-9637
Open Access | Times Cited: 132
Classification and analysis of deep learning applications in construction: A systematic literature review
Rana Khallaf, Mohamed Khallaf
Automation in Construction (2021) Vol. 129, pp. 103760-103760
Closed Access | Times Cited: 124
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Iqbal H. Sarker
(2021)
Open Access | Times Cited: 122
Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects
Iqbal H. Sarker
Annals of Data Science (2022) Vol. 10, Iss. 6, pp. 1473-1498
Open Access | Times Cited: 120
The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 106
Deep learning and Internet of Things for tourist attraction recommendations in smart cities
Juan Carlos Cepeda-Pacheco, Mari Carmen Domingo
Neural Computing and Applications (2022) Vol. 34, Iss. 10, pp. 7691-7709
Open Access | Times Cited: 72
A survey on large language models for recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu, et al.
World Wide Web (2024) Vol. 27, Iss. 5
Closed Access | Times Cited: 65
Cross-domain recommendation via user interest alignment
Chuang Zhao, Hongke Zhao, Ming He, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 887-896
Open Access | Times Cited: 53
Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 481-481
Open Access | Times Cited: 49
Multimodal Movie Recommendation System Using Deep Learning
Yongheng Mu, Yun Wu
Mathematics (2023) Vol. 11, Iss. 4, pp. 895-895
Open Access | Times Cited: 48
Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling
Raghu Raman, Debidutta Pattnaik, Laurie Hughes, et al.
Journal of Innovation & Knowledge (2024) Vol. 9, Iss. 3, pp. 100517-100517
Open Access | Times Cited: 22
On Generative Agents in Recommendation
An Zhang, Yuxin Chen, Leheng Sheng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1807-1817
Open Access | Times Cited: 19
A deep learning based algorithm for multi-criteria recommender systems
Qusai Y. Shambour
Knowledge-Based Systems (2020) Vol. 211, pp. 106545-106545
Closed Access | Times Cited: 128
Collaborative filtering recommender systems taxonomy
Harris Papadakis, Antonis Papagrigoriou, Costas Panagiotakis, et al.
Knowledge and Information Systems (2022) Vol. 64, Iss. 1, pp. 35-74
Closed Access | Times Cited: 69
A review of deep learning-based recommender system in e-learning environments
Tieyuan Liu, Qiong Wu, Liang Chang, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 8, pp. 5953-5980
Closed Access | Times Cited: 43
A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research
Xue Zhang, Fusen Guo, Tao Chen, et al.
Journal of theoretical and applied electronic commerce research (2023) Vol. 18, Iss. 4, pp. 2188-2216
Open Access | Times Cited: 36
Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview
Iqbal H. Sarker
Security and Privacy (2023) Vol. 6, Iss. 5
Open Access | Times Cited: 32
The Use of Artificial Intelligence (AI) in Qualitative Research for Theory Development
Prokopis Christou
The Qualitative Report (2023)
Open Access | Times Cited: 24
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