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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:

CDRec-CAS: Cross-Domain Recommendation Using Context-Aware Sequences
Taushif Anwar, V. Uma, Gautam Srivastava
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 4, pp. 4934-4943
Closed Access | Times Cited: 14

Showing 14 citing articles:

Revisiting recommender systems: an investigative survey
Osman Ali Sadek Ibrahim, Eman M. G. Younis, Ebtsam A. Mohamed, et al.
Neural Computing and Applications (2025)
Open Access
A systematic review of the literature on deep learning approaches for cross-domain recommender systems
Matthew O. Ayemowa, Roliana Ibrahim, Yunusa Adamu Bena
Decision Analytics Journal (2024), pp. 100518-100518
Open Access | Times Cited: 2
Hybrid Real-Time Implicit Feedback SOM-Based Movie Recommendation Systems
Saurabh Sharma, Harish Kumar Shakya
Lecture notes in networks and systems (2023), pp. 371-388
Closed Access | Times Cited: 6
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
Recommendation System for Movies Using Improved version of SOM with Hybrid Filtering Methods
Saurabh Sharma, Harish Kumar Shakya
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2023), pp. 1-7
Closed Access | Times Cited: 4
DaGzang: a synthetic data generator for cross-domain recommendation services
Luong Vuong Nguyen, Nam D. Vo, Jason J. Jung
PeerJ Computer Science (2023) Vol. 9, pp. e1360-e1360
Open Access | Times Cited: 3
KT-CDULF: Knowledge Transfer in Context-Aware Cross-Domain Recommender Systems via Latent User Profiling
Adeel Ashraf Cheema, Muhammad Shahzad Sarfraz, Muhammad Usman, et al.
IEEE Access (2024) Vol. 12, pp. 102111-102125
Open Access
Aligning Cultural Tourism with SDGS: A Recommendation System Based on Frequent Patterns, Associations, and Correlations
Amarita Ritthipakdee, Keun Ho Ryu, Porawat Visutsak
Journal of Lifestyle and SDGs Review (2024) Vol. 4, Iss. 2, pp. e02052-e02052
Closed Access
Enhancing Recommendation System using Ontology-based Similarity and Incremental SVD Prediction
Sajida Mhammedi, Noreddine Gherabi, Hakim El Massari, et al.
Recent Advances in Computer Science and Communications (2023) Vol. 16, Iss. 9
Closed Access | Times Cited: 1
Peer Review #2 of "DaGzang: a synthetic data generator for cross-domain recommendation services (v0.1)"
Luong Vuong Nguyen, Nam D. Vo, Jung Corresp, et al.
(2023)
Open Access
Peer Review #1 of "DaGzang: a synthetic data generator for cross-domain recommendation services (v0.2)"
Toni Anwar
(2023)
Open Access
Peer Review #3 of "DaGzang: a synthetic data generator for cross-domain recommendation services (v0.2)"
ZA Ansari
(2023)
Open Access
Peer Review #1 of "DaGzang: a synthetic data generator for cross-domain recommendation services (v0.1)"
Toni Anwar
(2023)
Open Access
Peer Review #3 of "DaGzang: a synthetic data generator for cross-domain recommendation services (v0.1)"
ZA Ansari
(2023)
Open Access
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