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 Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, et al.
Applied Soft Computing (2019) Vol. 85, pp. 105751-105751
Closed Access | Times Cited: 15
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, et al.
Applied Soft Computing (2019) Vol. 85, pp. 105751-105751
Closed Access | Times Cited: 15
Showing 15 citing articles:
Pair-wise Preference Relation based Probabilistic Matrix Factorization for Collaborative Filtering in Recommender System
Abinash Pujahari, Dilip Singh Sisodia
Knowledge-Based Systems (2020) Vol. 196, pp. 105798-105798
Closed Access | Times Cited: 60
Abinash Pujahari, Dilip Singh Sisodia
Knowledge-Based Systems (2020) Vol. 196, pp. 105798-105798
Closed Access | Times Cited: 60
Domain Adaptation via Feature Disentanglement for cross-domain image classification
Zhize Wu, Changjiang Du, Xinqi Wang, et al.
Applied Soft Computing (2025), pp. 112868-112868
Closed Access
Zhize Wu, Changjiang Du, Xinqi Wang, et al.
Applied Soft Computing (2025), pp. 112868-112868
Closed Access
Deep Maximum Margin Matrix Factorization
Shailendra Kumar, Venkateswara Rao Kagita, Vikas Kumar
(2025)
Closed Access
Shailendra Kumar, Venkateswara Rao Kagita, Vikas Kumar
(2025)
Closed Access
gCDR: A Group Aided Cross-Domain Recommendation Framework
A Shyam, Kavita Kanwar, Vikas Kumar, et al.
Lecture notes in computer science (2025), pp. 240-256
Closed Access
A Shyam, Kavita Kanwar, Vikas Kumar, et al.
Lecture notes in computer science (2025), pp. 240-256
Closed Access
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization
Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121967-121967
Open Access | Times Cited: 5
Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121967-121967
Open Access | Times Cited: 5
Transfer learning and its application research
Yancong Zhou, Xuemei Zhang, Yan Wang, et al.
Journal of Physics Conference Series (2021) Vol. 1920, Iss. 1, pp. 012058-012058
Open Access | Times Cited: 13
Yancong Zhou, Xuemei Zhang, Yan Wang, et al.
Journal of Physics Conference Series (2021) Vol. 1920, Iss. 1, pp. 012058-012058
Open Access | Times Cited: 13
A mixed heterogeneous factorization model for non-overlapping cross-domain recommendation
Ting Yu, Junpeng Guo, Wenhua Li, et al.
Decision Support Systems (2021) Vol. 151, pp. 113625-113625
Closed Access | Times Cited: 12
Ting Yu, Junpeng Guo, Wenhua Li, et al.
Decision Support Systems (2021) Vol. 151, pp. 113625-113625
Closed Access | Times Cited: 12
A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, et al.
Information Systems (2022) Vol. 107, pp. 102002-102002
Open Access | Times Cited: 8
Sowmini Devi Veeramachaneni, Arun K. Pujari, Vineet Padmanabhan, et al.
Information Systems (2022) Vol. 107, pp. 102002-102002
Open Access | Times Cited: 8
MOTL: enhancing multi-omics matrix factorization with transfer learning
David Hirst, Morgane Térézol, Laura Cantini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
David Hirst, Morgane Térézol, Laura Cantini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Privacy-preserving cross-domain recommendation using hybrid federated transfer learning
Samta Jaın Goyal, Rajeev Goyal, Vinay Kumar Singh, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Samta Jaın Goyal, Rajeev Goyal, Vinay Kumar Singh, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
A deep selective learning network for cross-domain recommendation
Huiting Liu, Qian Liu, Peipei Li, et al.
Applied Soft Computing (2022) Vol. 125, pp. 109160-109160
Closed Access | Times Cited: 6
Huiting Liu, Qian Liu, Peipei Li, et al.
Applied Soft Computing (2022) Vol. 125, pp. 109160-109160
Closed Access | Times Cited: 6
Entity knowledge transfer-oriented dual-target cross-domain recommendations
Yakun Li, Qiang Wu, Lei Hou, et al.
Expert Systems with Applications (2022) Vol. 195, pp. 116591-116591
Closed Access | Times Cited: 5
Yakun Li, Qiang Wu, Lei Hou, et al.
Expert Systems with Applications (2022) Vol. 195, pp. 116591-116591
Closed Access | Times Cited: 5
A Deep Learning Model for Cross-Domain Serendipity Recommendations
Zhe Fu, Xi Niu, Xiangcheng Wu, et al.
ACM Transactions on Recommender Systems (2024)
Open Access
Zhe Fu, Xi Niu, Xiangcheng Wu, et al.
ACM Transactions on Recommender Systems (2024)
Open Access
A model‐based approach to user preference discovery in multi‐criteria recommender system using genetic programming
Shweta Gupta, Vibhor Kant
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 11
Closed Access | Times Cited: 3
Shweta Gupta, Vibhor Kant
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 11
Closed Access | Times Cited: 3
M. Nanthini, K. Pradeep Mohan Kumar
Expert Systems (2024) Vol. 41, Iss. 8
Closed Access
