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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:

M-learning adoption of management students’: A case of India
Sadhna Shukla
Education and Information Technologies (2020) Vol. 26, Iss. 1, pp. 279-310
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

The use of mobile learning applications in higher education institutes
Tuychi Norbutayevich Jurayev
Advances in Mobile Learning Educational Research (2023) Vol. 3, Iss. 1, pp. 610-620
Open Access | Times Cited: 47
The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review
Liangyong Xue, Abdullah Mat Rashid, Sha Ouyang
SAGE Open (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 30
Hybrid artificial neural network and structural equation modelling techniques: a survey
A. S. Albahri, Alhamzah Alnoor, A. A. Zaidan, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 2, pp. 1781-1801
Open Access | Times Cited: 78
Applying the UTAUT Model to Understand Factors Affecting Micro-Lecture Usage by Mathematics Teachers in China
Tommy Tanu Wijaya, Yiming Cao, Robert Weinhandl, et al.
Mathematics (2022) Vol. 10, Iss. 7, pp. 1008-1008
Open Access | Times Cited: 65
Based on the multi-assessment model: Towards a new context of combining the artificial neural network and structural equation modelling: A review
A. S. Albahri, Alhamzah Alnoor, A. A. Zaidan, et al.
Chaos Solitons & Fractals (2021) Vol. 153, pp. 111445-111445
Closed Access | Times Cited: 55
The Influence of E-Iearning, M-learning, and D-learning on the Student Performance: Moderating Role of Institutional Support
Mohammed T. Nuseir, Ahmad Ibrahim Aljumah, Ghaleb A. El Refae
2022 International Arab Conference on Information Technology (ACIT) (2022) Vol. 9, pp. 1-9
Closed Access | Times Cited: 54
Determinants of Behavioral Intention and Use of Interactive Whiteboard by K-12 Teachers in Remote and Rural Areas
Ying Zhou, Xinxin Li, Tommy Tanu Wijaya
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 32
Unified theory of acceptance and use of technology (UTAUT) in mobile learning adoption : Systematic literature review and bibliometric analysis
Alper AYTEKİN, Hakan Özköse, Ahmet Ayaz
Collnet Journal of Scientometrics and Information Management (2022) Vol. 16, Iss. 1, pp. 75-116
Closed Access | Times Cited: 27
Extending unified theory of acceptance and use of technology to understand the acceptance of digital textbook for elementary School in Indonesia
Neni Hermita, Tommy Tanu Wijaya, Eri Yusron, et al.
Frontiers in Education (2023) Vol. 8
Open Access | Times Cited: 15
Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization
A. A. Zaidan, Alhamzah Alnoor, O. S. Albahri, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106643-106643
Closed Access | Times Cited: 14
Understanding intention and use of digital elements in higher education teaching
Wieland Müller, Michael Leyer
Education and Information Technologies (2023) Vol. 28, Iss. 12, pp. 15571-15597
Open Access | Times Cited: 13
Do learners exhibit a willingness to use ChatGPT? An advanced two-stage SEM-neural network approach for forecasting factors influencing ChatGPT adoption
Nattaporn Thongsri, Orawan Tripak, Yukun Bao
Interactive Technology and Smart Education (2024)
Closed Access | Times Cited: 4
A Hybrid SEM-ANN Approach for Predicting the Impact of Psychological Needs on Satisfaction with Generative AI Use
İbrahim Arpacı, İsmail Kuşci
Technology Knowledge and Learning (2025)
Closed Access
Exploring students’ prior knowledge of and metacognitive skills for game-based learning in relation to cognitive strategy and learning effectiveness
Ying‐Lien Lin, Wei‐Tsong Wang, Zona Lai
Education and Information Technologies (2025)
Closed Access
A uses and gratifications approach to examining users’ continuance intention towards smart mobile learning
Biao Gao
Humanities and Social Sciences Communications (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 12
Acceptance and use of artificial intelligence and AI-based applications in education: A meta-analysis and future direction
Irfan Ali, Nosheen Fatima Warraich, Khadijah Butt
Information Development (2024)
Closed Access | Times Cited: 3
Intención de uso de aprendizaje móvil (m-learning) en programas virtuales: un modelo híbrido de aceptación tecnológica (TAM) y la teoría del comportamiento planificado (TPB)
Alejandro Valencia-Arias, Sergio Gómez-Molina, Rosa M. Vélez-Holguín, et al.
Formación universitaria (2023) Vol. 16, Iss. 2, pp. 25-34
Open Access | Times Cited: 8
Modeling the predictors of mobile health adoption by Rohingya Refugees in Bangladesh: An extension of UTAUT2 using combined SEM-Neural network approach
Zapan Barua, Adita Barua
Journal of Migration and Health (2023) Vol. 8, pp. 100201-100201
Open Access | Times Cited: 7
Understanding mobile learning continuance after the COVID-19 pandemic: Deep learning-based dual stage partial least squares-structural equation modeling and artificial neural network analysis
Yakup Akgül, Ali Osman Uymaz, Pelin Uymaz
Environment and Social Psychology (2024) Vol. 9, Iss. 4
Open Access | Times Cited: 2
Symmetric and asymmetric modeling to examine individuals’ intention to follow fitness YouTube channels: an integrated perspective of the UTAUT2 and UGT
Weisheng Chiu, Doyeon Won, Jung-Sup Bae
International Journal of Sports Marketing and Sponsorship (2024) Vol. 25, Iss. 4, pp. 777-801
Closed Access | Times Cited: 2
Understanding the antecedents of intention for using mobile learning
Neerja Kashive, Dharini Phanshikar
Smart Learning Environments (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Artificial Neural Network and Structural Equation Modeling in the Future
Marcos Ferasso, Alhamzah Alnoor
(2022), pp. 327-341
Closed Access | Times Cited: 10
Open educational practices of SWAYAM programme among research scholars
K.Sathish Kumar, M. Mahendraprabu
Education and Information Technologies (2021) Vol. 26, Iss. 4, pp. 4621-4645
Closed Access | Times Cited: 13
Behavioral Intention and Actual Use of Mobile Learning During the COVID-19 Pandemic in the Higher Education System
Alaa S. Jameel, Mohammed A. Karem, Ahmed S. Alheety
Lecture notes in networks and systems (2023), pp. 155-167
Open Access | Times Cited: 5
Determinants affecting the medical students adoption of mobile learning: extended UTAUT
Mohammed A. E. Suliman, Wenlan Zhang, Kamal Abubker Abrahim Sleiman, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
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