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:

Deep Matrix Factorization for Trust-Aware Recommendation in Social Networks
Liangtian Wan, Feng Xia, Xiangjie Kong, et al.
IEEE Transactions on Network Science and Engineering (2020) Vol. 8, Iss. 1, pp. 511-528
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13071-13102
Open Access | Times Cited: 233

A survey of graph neural network based recommendation in social networks
Xiao Li, Li Sun, Mengjie Ling, et al.
Neurocomputing (2023) Vol. 549, pp. 126441-126441
Closed Access | Times Cited: 74

A deep learning based trust- and tag-aware recommender system
Sajad Ahmadian, Milad Ahmadian, Mahdi Jalili
Neurocomputing (2021) Vol. 488, pp. 557-571
Closed Access | Times Cited: 88

RDERL: Reliable deep ensemble reinforcement learning-based recommender system
Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi
Knowledge-Based Systems (2023) Vol. 263, pp. 110289-110289
Closed Access | Times Cited: 19

Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren, Feng Xia, Yemeng Liu, et al.
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 959-966
Open Access | Times Cited: 39

Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review
Atena Torkashvand, Seyed Mahdi Jameii, Akram Reza
Neural Computing and Applications (2023) Vol. 35, Iss. 35, pp. 24783-24827
Closed Access | Times Cited: 13

Graph neural network recommendation algorithm based on improved dual tower model
Qiang He, Xinkai Li, Biao Cai
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Trust-Aware Detection of Malicious Users in Dating Social Networks
Xingfa Shen, Wentao Lv, Jianhui Qiu, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 5, pp. 2587-2598
Closed Access | Times Cited: 18

Deep Learning-Based Recommendation System: Systematic Review and Classification
Li Caiwen, Iskandar Ishak, Hamidah Ibrahim, et al.
IEEE Access (2023) Vol. 11, pp. 113790-113835
Open Access | Times Cited: 9

Recommending cloud services based on social trust: An overview
Fatma Zohra Lebib, Saida Kichou
Concurrency and Computation Practice and Experience (2024) Vol. 36, Iss. 25
Closed Access | Times Cited: 3

A social commerce purchasing decision model with trust network and item review information
Tong Wu, Ru Zhang, Xinwang Liu, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107628-107628
Closed Access | Times Cited: 23

Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder
S. Abinaya, A. Sherly Alphonse, S. Abirami, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 5, pp. 6843-6864
Open Access | Times Cited: 7

An Innovative Personalized Recommendation Approach Based on Deep Learning and User Review Content
Zhaowang Wu, Quan Wen, Fan Yang, et al.
IEEE Access (2024) Vol. 12, pp. 118214-118226
Open Access | Times Cited: 2

A lightweight framework for abnormal driving behavior detection
Mingliang Hou, Mengyuan Wang, Wenhong Zhao, et al.
Computer Communications (2021) Vol. 184, pp. 128-136
Closed Access | Times Cited: 16

A consistent and flexible framework for deep matrix factorizations
Pierre De Handschutter, Nicolas Gillis
Pattern Recognition (2022) Vol. 134, pp. 109102-109102
Open Access | Times Cited: 11

Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions
Muhammad Alrashidi, Ali Selamat, Roliana Ibrahim, et al.
IEEE Access (2023) Vol. 11, pp. 63874-63894
Open Access | Times Cited: 6

Recommendation system using a deep learning and graph analysis approach
Mahdi Kherad, Amir Jalaly Bidgoly
Computational Intelligence (2022) Vol. 38, Iss. 5, pp. 1859-1883
Open Access | Times Cited: 8

Deep variational models for collaborative filtering-based recommender systems
Jesús Bobadilla, Fernando Ortega, Abraham Gutiérrez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7817-7831
Open Access | Times Cited: 8

Quantifying scientific collaboration impact by exploiting collaboration-citation network
Xiaomei Bai, Fuli Zhang, Jinzhou Li, et al.
Scientometrics (2021) Vol. 126, Iss. 9, pp. 7993-8008
Closed Access | Times Cited: 11

Collaborative filtering recommendations based on multi-factor random walks
Liangmin Guo, Kaixuan Luan, Li Sun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106409-106409
Closed Access | Times Cited: 4

Trust Exploitation in Graph based Social Recommender Systems : A Survey
Rachana Mehta, Shakti Mishra
(2024), pp. 1-9
Closed Access | Times Cited: 1

Efficient Deep Reinforcement Learning-Enabled Recommendation
Guangyao Pang, Xiaoming Wang, Liang Wang, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 2, pp. 871-886
Closed Access | Times Cited: 7

Stochastic Synchronization of Multiplex Networks With Continuous and Impulsive Couplings
Xin Jin, Zhengxin Wang, Xiaojie Chen, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 8, Iss. 3, pp. 2533-2544
Closed Access | Times Cited: 8

Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review
Muhammad Alrashidi, Ali Selamat, Roliana Ibrahim, et al.
Communications in computer and information science (2021), pp. 15-29
Closed Access | Times Cited: 8

Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion
Yuanman Li, Jiantao Zhou, Junyang Chen, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 9, Iss. 6, pp. 1830-1841
Closed Access | Times Cited: 7

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