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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 personality-aware group recommendation system based on pairwise preferences
Roza Abolghasemi, Paal Engelstad, Enrique Herrera‐Viedma, et al.
Information Sciences (2022) Vol. 595, pp. 1-17
Open Access | Times Cited: 24

Showing 24 citing articles:

A graph neural approach for group recommendation system based on pairwise preferences
Roza Abolghasemi, Enrique Herrera‐Viedma, Paal Engelstad, et al.
Information Fusion (2024) Vol. 107, pp. 102343-102343
Open Access | Times Cited: 9
Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?
Patrícia Alves, Helena Martins, Pedro Saraiva, et al.
User Modeling and User-Adapted Interaction (2023) Vol. 33, Iss. 5, pp. 1141-1210
Open Access | Times Cited: 16
Collaborative group embedding and decision aggregation based on attentive influence of individual members: A group recommendation perspective
Li Yu, Youfang Leng, Dongsong Zhang, et al.
Decision Support Systems (2022) Vol. 165, pp. 113894-113894
Closed Access | Times Cited: 20
Are heterogeinity and conflicting preferences no longer a problem? Personality-based dynamic clustering for group recommender systems
Patrícia Alves, André Martins, Francisco Negrão, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124812-124812
Open Access | Times Cited: 4
Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model
Xiaoyu Song, Zhizhong Liu, Lingqiang Meng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Augmenting micro-moment recommendations with group and serendipity perspectives
Yi-Ling Lin, Yaping Zheng, Yi-Cheng Ku
Decision Support Systems (2025), pp. 114454-114454
Closed Access
A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems
Jian Liu, You-Ling Chen, Qingzhi Liu, et al.
Computers & Industrial Engineering (2023) Vol. 178, pp. 109128-109128
Closed Access | Times Cited: 6
Neural group recommendation based on a probabilistic semantic aggregation
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 19, pp. 14081-14092
Closed Access | Times Cited: 5
Dual channel group-aware graph convolutional networks for collaborative filtering
Jinsong Zhao, Kaiwen Huang, Ping Li
Applied Intelligence (2023) Vol. 53, Iss. 21, pp. 25511-25524
Closed Access | Times Cited: 5
Predicting missing pairwise preferences from similarity features in group decision making
Roza Abolghasemi, Rabindra Khadka, Pedro G. Lind, et al.
Knowledge-Based Systems (2022) Vol. 256, pp. 109860-109860
Open Access | Times Cited: 8
Are Heterogeinity and Conflicting Preferences No Longer a Problem? Personality-Based Dynamic Clustering for Group Recommender Systems
Patrícia Alves, André Martins, Francisco Negrão, et al.
(2024)
Closed Access | Times Cited: 1
A Markov Chain-Based Group Consensus Method with Unknown Parameters
Chao Fu, Wenjun Chang
Group Decision and Negotiation (2024) Vol. 33, Iss. 5, pp. 1019-1048
Closed Access | Times Cited: 1
Investing energy transition future: a comprehensive assessment of financial and non-financial factors that affect access to capital
Zhongchao Dong, Haiou Du
Economic Change and Restructuring (2024) Vol. 57, Iss. 3
Closed Access | Times Cited: 1
A Hybrid Group-Based Food Recommender Framework for Handling Overlapping Memberships
Rao Naveed Bin Rais, Muhammad Noman, Osman Khalid, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5843-5843
Open Access | Times Cited: 1
A personality-guided preference aggregator for ephemeral group recommendation
Guangze Ye, Wen Wu, Liye Shi, et al.
Applied Soft Computing (2024), pp. 112274-112274
Closed Access | Times Cited: 1
Enhancing cross-domain recommendations: Leveraging personality-based transfer learning with probabilistic matrix factorization
Somdeep Acharyya, Nargis Pervin
Expert Systems with Applications (2024) Vol. 263, pp. 125667-125667
Closed Access | Times Cited: 1
Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices
Patrícia Alves, André Martins, Paulo Nováis, et al.
(2023), pp. 1165-1168
Open Access | Times Cited: 3
Analyzing Social Media Data Using Sentiment Mining and Bigram Analysis for the Recommendation of YouTube Videos
Kenneth McGarry
Information (2023) Vol. 14, Iss. 7, pp. 408-408
Open Access | Times Cited: 3
Time Loss Function-based Collaborative Filtering in Movie Recommender System
Triyanna Widiyaningtyas, Didik Dwi Prasetya, Heru Wahyu Herwanto
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 1021-1030
Open Access | Times Cited: 2
Prediction of Eudaimonic and Hedonic Orientation of Movie Watchers
Elham Motamedi, Francesco Barile, Marko Tkalčič
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9500-9500
Open Access | Times Cited: 4
Integrating Social Relationships and Personality into MAS-Based Group Recommendations
Ariel Monteserin, David P. Madsen, Daniela Godoy, et al.
Big Data and Cognitive Computing (2024) Vol. 9, Iss. 1, pp. 1-1
Open Access
Influence Based Group Recommendation System in Personality and Dynamic Trust
Cheng-En Huang, Yi-Ling Lin
Communications in computer and information science (2024), pp. 50-57
Closed Access
A systematic review of movie recommender systems
Triyanna Widiyaningtyas, Yuri Ariyanto
ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA) (2024) Vol. 10, Iss. 47
Open Access
CareProfSys Recommender for Modern Engineering Roles based on Emergent Technologies
Alexandru Hang, Imola Puskas, Melania Nițu, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1
Graph neural network based entity augmented representation for recommendation system
Huinan Zhao, Lei Mu, Xiuzhuo Wei, et al.
(2023), pp. 58-58
Open Access
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