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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:

Multimodal Data Fusion in Learning Analytics: A Systematic Review
Su Mu, Meng Cui, Xiaodi Huang
Sensors (2020) Vol. 20, Iss. 23, pp. 6856-6856
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning With an Intelligent Tutoring System
Roger Azevedo, François Bouchet, Melissa Duffy, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 104
An artificial intelligence-driven learning analytics method to examine the collaborative problem-solving process from the complex adaptive systems perspective
Fan Ouyang, Weiqi Xu, Mutlu Cukurova
International Journal of Computer-Supported Collaborative Learning (2023) Vol. 18, Iss. 1, pp. 39-66
Open Access | Times Cited: 56
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 55
An overview of methods and techniques in multimodal data fusion with application to healthcare
Siwar Chaabene, Amal Boudaya, Bassem Bouaziz, et al.
International Journal of Data Science and Analytics (2025)
Closed Access | Times Cited: 2
Detecting Emotions through Electrodermal Activity in Learning Contexts: A Systematic Review
Anne Horvers, Natasha Tombeng, Tibor Bosse, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7869-7869
Open Access | Times Cited: 85
A review on data fusion in multimodal learning analytics and educational data mining
Wilson Chango, Juan A. Lara, Rebeca Cerezo, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 46
Multimodal learning analytics of collaborative patterns during pair programming in higher education
Weiqi Xu, Yajuan Wu, Fan Ouyang
International Journal of Educational Technology in Higher Education (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 33
Research trends in multimodal learning analytics: A systematic mapping study
Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel
Computers and Education Artificial Intelligence (2023) Vol. 4, pp. 100136-100136
Open Access | Times Cited: 32
A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 15
Applying multimodal data fusion to track autistic adolescents’ representational flexibility development during virtual reality-based training
Jewoong Moon, Fengfeng Ke, Zlatko Sokolikj, et al.
Computers & Education X Reality (2024) Vol. 4, pp. 100063-100063
Open Access | Times Cited: 8
Deep Learning-Based Strategies for Evaluating and Enhancing University Teaching Quality
Gao Ying
Computers and Education Artificial Intelligence (2025), pp. 100362-100362
Open Access | Times Cited: 1
The Evidence of Impact and Ethical Considerations of Multimodal Learning Analytics: A Systematic Literature Review
Haifa Alwahaby, Mutlu Cukurova, Zacharoula Papamitsiou, et al.
Springer eBooks (2022), pp. 289-325
Closed Access | Times Cited: 29
Triggers for self-regulated learning: A conceptual framework for advancing multimodal research about SRL
Sanna Järvelä, Allyson F. Hadwin
Learning and Individual Differences (2024) Vol. 115, pp. 102526-102526
Open Access | Times Cited: 7
Perception of Artificial Intelligence: GSR Analysis and Face Detection
Oleksii Lyulyov, Tetyana Pimonenko, Alfonso Infante Moro, et al.
Virtual Economics (2024) Vol. 7, Iss. 2, pp. 7-30
Open Access | Times Cited: 6
Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-Wild
Roberto Martínez‐Maldonado, Vanessa Echeverría, Gloria Fernandez‐Nieto, et al.
ACM Transactions on Computer-Human Interaction (2023) Vol. 31, Iss. 1, pp. 1-41
Open Access | Times Cited: 12
Improving Learning Outcomes through Predictive Analytics: Enhancing Teaching and Learning with Educational Data Mining
Ashraf Alam
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 249-257
Closed Access | Times Cited: 11
Understanding Human Cognition Through Computational Modeling
Janet H. Hsiao
Topics in Cognitive Science (2024) Vol. 16, Iss. 3, pp. 349-376
Open Access | Times Cited: 4
The Effects of Three Scaffoldings on Computer-Supported, Robot-Assisted Collaborative Programming in Higher Education
Weiqi Xu, Xinran Dong, Fan Ouyang
International Journal of Human-Computer Interaction (2024), pp. 1-16
Closed Access | Times Cited: 4
A Broad Collection of Datasets for Educational Research Training and Application
Sonsoles López‐Pernas, Mohammed Saqr, Javier Conde, et al.
(2024), pp. 17-66
Open Access | Times Cited: 4
Review of Multimodal Data Fusion in Machine Learning
Leena Arya, Yogesh Kumar Sharma, Smitha, et al.
(2025), pp. 205-226
Closed Access
From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning
Lixiang Yan, Dragan Gašević, Vanessa Echeverría, et al.
(2025), pp. 70-81
Closed Access
Machine Learning Techniques to Detect Fake News on Social Media: A Systematic Review
Ngwato Thomas Maseko, Ronald Chikati, Michael Moeti, et al.
Smart innovation, systems and technologies (2025), pp. 113-124
Closed Access
Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure
Chunzhong Li, Chenglan Liu, Wenliang Ju, et al.
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
Fault diagnosis in electric motors using multi-mode time series and ensemble transformers network
Bo Xu, Huipeng Li, Ruchun Ding, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A multi-modal deep learning solution for precise pneumonia diagnosis: the PneumoFusion-Net model
Yujie Wang, Can Liu, Yu-Yan Fan, et al.
Frontiers in Physiology (2025) Vol. 16
Open Access
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