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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:

EmoWare: A Context-Aware Framework for Personalized Video Recommendation Using Affective Video Sequences
Abhishek Tripathi, T. S. Ashwin, Ram Mohana Reddy Guddeti
IEEE Access (2019) Vol. 7, pp. 51185-51200
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing
Sze Chit Leong, Yuk Ming Tang, Chung Hin Lai, et al.
Computer Science Review (2023) Vol. 48, pp. 100545-100545
Closed Access | Times Cited: 45
A Context-Aware Content Recommendation Engine for Personalized Learning using Hybrid Reinforcement Learning Technique
R. Sundar, M. Ganesan, M. Anju, et al.
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Digital hyperconnectivity and the self
Rogers Brubaker
Theory and Society (2020) Vol. 49, Iss. 5-6, pp. 771-801
Closed Access | Times Cited: 80
A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting
Wenyu Zhang, Qian Chen, Jianyong Yan, et al.
Energy (2021) Vol. 236, pp. 121492-121492
Closed Access | Times Cited: 80
Bringing Emotion Recognition Out of the Lab into Real Life: Recent Advances in Sensors and Machine Learning
Stanisław Saganowski
Electronics (2022) Vol. 11, Iss. 3, pp. 496-496
Open Access | Times Cited: 51
CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors
Tianyi Zhang, Abdallah El Ali, Chen Wang, et al.
Sensors (2020) Vol. 21, Iss. 1, pp. 52-52
Open Access | Times Cited: 57
A Systematic Mapping Review on MOOC Recommender Systems
Imran Uddin, Ali Shariq Imran, Khan Muhammad, et al.
IEEE Access (2021) Vol. 9, pp. 118379-118405
Open Access | Times Cited: 41
User-generated video emotion recognition based on key frames
Wei Jie, Xinyu Yang, Yizhuo Dong
Multimedia Tools and Applications (2021) Vol. 80, Iss. 9, pp. 14343-14361
Closed Access | Times Cited: 37
AI alignment: Assessing the global impact of recommender systems
Ljubiša Bojić
Futures (2024) Vol. 160, pp. 103383-103383
Open Access | Times Cited: 5
Context-Aware Recommender Systems: From Foundations to Recent Developments
Gediminas Adomavičius, Konstantin Bauman, Alexander Tuzhilin, et al.
Springer eBooks (2021), pp. 211-250
Closed Access | Times Cited: 30
Adaptive generative weighted recurrent neural network for dynamic media content recommendation: Leveraging continuous user feedback for real-time personalization
Shashishekhar Ramagundam, Niharika Karne
Intelligent Decision Technologies (2025)
Closed Access
Affective video recommender systems: A survey
Dandan Wang, Xiaoming Zhao
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 15
Multiobjective Deep Reinforcement Learning for Recommendation Systems
Yeo Keat Ee, Nurfadhlina Mohd Sharef, Razali Yaakob, et al.
IEEE Access (2022) Vol. 10, pp. 65011-65027
Open Access | Times Cited: 12
A Hybrid Movies Recommendation System Based on Demographics and Facial Expression Analysis using Machine Learning
Mohammed Balfaqih
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 11
Open Access | Times Cited: 4
Cache Partitioning and Caching Strategies for Device-to-Device Caching Systems
Minjoong Rim, Chung G. Kang
IEEE Access (2021) Vol. 9, pp. 8192-8211
Open Access | Times Cited: 10


Scientific Studios on Social and Political Psychology (2024) Vol. 29, Iss. 2
Open Access | Times Cited: 1
Content-based video recommendation system (CBVRS): a novel approach to predict videos using multilayer feed forward neural network and Monte Carlo sampling method
Babu Rao Markapudi, C. Kavitha, D. N. V. S. L. S. Indira, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 5, pp. 6965-6991
Closed Access | Times Cited: 5
Affective Video Content Analysis via Multimodal Deep Quality Embedding Network
Yaochen Zhu, Zhenzhong Chen, Feng Wu
IEEE Transactions on Affective Computing (2020) Vol. 13, Iss. 3, pp. 1401-1415
Closed Access | Times Cited: 7
Automatic Recommendation System of College English Teaching Videos Based on Students’ Personalized Demands
Xinyao Yang
International Journal of Emerging Technologies in Learning (iJET) (2021) Vol. 16, Iss. 21, pp. 42-42
Open Access | Times Cited: 6
A novel transfer deep learning model with reinforcement-learning-based hyperparameter optimization for short-term load forecasting during the COVID-19 pandemic
Shuai Zhang, Qian Chen, Wenhua Zeng, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 3, pp. 2869-2882
Open Access | Times Cited: 3
User Personalized Recommendation Algorithm Based on GRU Network Model in Social Networks
Fangqin Zeng, Rong Tang, Yibai Wang
Mobile Information Systems (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 3
SVRCI: An Approach for Semantically Driven Video Recommendation Incorporating Collective Intelligence
R. Ashvanth, Gerard Deepak
Communications in computer and information science (2023), pp. 225-237
Closed Access | Times Cited: 1
WCMIVR: A Web 3.0 Compliant Machine Intelligence Driven Scheme for Video Recommendation
Beulah Divya Kannan, Gerard Deepak
Lecture notes in networks and systems (2023), pp. 563-574
Closed Access | Times Cited: 1
User-centric item characteristics for personalized multimedia systems: A systematic review
Elham Motamedi, Marko Tkalčič
Intelligenza Artificiale (2023) Vol. 17, Iss. 2, pp. 207-228
Closed Access | Times Cited: 1
The Generative Fairy Tale of Scary Little Red Riding Hood
Lasse Harde, Lasse Goul Jensen, J. von Krogh, et al.
ACM International Conference on Interactive Media Experiences (2024), pp. 129-144
Open Access
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