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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:

Sentiment Analysis Techniques and Applications in Education: A Survey
Foteini S. Dolianiti, Dimitrios Iakovakis, Sofia B. Dias, et al.
Communications in computer and information science (2019), pp. 412-427
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A review of sentiment analysis: tasks, applications, and deep learning techniques
Neeraj Sharma, A. B. M. Shawkat Ali, Muhammad Ashad Kabir
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 15
Sentiment analysis in education research: a review of journal publications
Jin Zhou, Jun-min Ye
Interactive Learning Environments (2020) Vol. 31, Iss. 3, pp. 1252-1264
Closed Access | Times Cited: 82
BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems
Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, et al.
IEEE Transactions on Software Engineering (2021), pp. 1-1
Open Access | Times Cited: 50
Using Opinion Mining as an educational analytic: An integrated strategy for the analysis of students’ feedback
Michelangelo Misuraca, Germana Scepi, Maria Spano
Studies In Educational Evaluation (2021) Vol. 68, pp. 100979-100979
Closed Access | Times Cited: 42
Emotions Matter: A Systematic Review and Meta-Analysis of the Detection and Classification of Students’ Emotions in STEM during Online Learning
Aamir Anwar, Ikram Ur Rehman, Moustafa M. Nasralla, et al.
Education Sciences (2023) Vol. 13, Iss. 9, pp. 914-914
Open Access | Times Cited: 18
Emotional Variance Analysis: A new sentiment analysis feature set for Artificial Intelligence and Machine Learning applications
Leonard Tan, Ooi Kiang Tan, Chun Chau Sze, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0274299-e0274299
Open Access | Times Cited: 15
Deep learning for opinion mining and topic classification of course reviews
Anna Koufakou
Education and Information Technologies (2023) Vol. 29, Iss. 3, pp. 2973-2997
Open Access | Times Cited: 12
Investigating relationships of sentiments, emotions, and performance in professional development K-12 CS teachers
Y. F. Liu, Leen‐Kiat Soh, Guy Trainin, et al.
Computer Science Education (2024), pp. 1-32
Closed Access | Times Cited: 2
Gifted Education on Reddit: A Social Media Sentiment Analysis
Jaret Hodges, Mary A. Simonsen, Jessica K. Ottwein
Gifted Child Quarterly (2022) Vol. 66, Iss. 4, pp. 296-315
Closed Access | Times Cited: 10
ORDSAENet: Outlier Resilient Semantic Featured Deep Driven Sentiment Analysis Model for Education Domain
B. Smitha, Raja Praveen K N
Journal of Machine and Computing (2023), pp. 408-430
Open Access | Times Cited: 5
Aspect-Based Emotion Analysis on Speech for Predicting Performance in Collaborative Learning
Nasrin Dehbozorgi, Divya Pramasani Mohandoss
2021 IEEE Frontiers in Education Conference (FIE) (2021), pp. 1-7
Closed Access | Times Cited: 12
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias
K. Anoop, Manjary P. Gangan, P Deepak, et al.
Lecture notes in electrical engineering (2022), pp. 13-45
Open Access | Times Cited: 8
Sentiment Analysis of Students’ Feedback on Faculty Online Teaching Performance Using Machine Learning Techniques
Caren Ambat Pacol
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2024) Vol. 21, pp. 65-76
Open Access | Times Cited: 1
Application of Sentiment Analysis in Diverse Domains
Soni Sweta
SpringerBriefs in applied sciences and technology (2024), pp. 19-46
Closed Access | Times Cited: 1
Arabic Sentiment Analysis for Student Evaluation using Machine Learning and the AraBERT Transformer
Huda Alamoudi, Nahla Aljojo, Asmaa Munshi, et al.
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 5, pp. 11945-11952
Open Access | Times Cited: 4
Natural Language Processing in Higher Education
Nastiti Susetyo Fanany Putri, Prasetya Widiharso, Agung Bella Putra Utama, et al.
Bulletin of Social Informatics Theory and Application (2023) Vol. 6, Iss. 1, pp. 90-101
Open Access | Times Cited: 4
Based BERT-BiLSTM-ATT Model of Commodity Commentary on The Emotional Tendency Analysis
Hao Ge, Shuang Zheng, Quanmin Wang
(2021), pp. 130-133
Closed Access | Times Cited: 8
Response Construct Tagging: NLP-Aided Assessment for Engineering Education
Ananya Ganesh, Hugh Scribner, Jasdeep Singh, et al.
(2022), pp. 250-261
Open Access | Times Cited: 5
Leveraging Machine Learning to Understand How Emotions Influence Equity Related Education: Quasi-Experimental Study
Javeed Sukhera, Hasan Ahmed
JMIR Medical Education (2022) Vol. 8, Iss. 1, pp. e33934-e33934
Open Access | Times Cited: 4
Enhancing Sentiment Analysis of Textual Feedback in the Student-Faculty Evaluation using Machine Learning Techniques
Caren A. Pacol, Thelma D. Palaoag
European Journal of Engineering Science and Technology (2021) Vol. 4, Iss. 1, pp. 27-34
Open Access | Times Cited: 5
Empowering educational policy management: understanding student emotions and sentiments
Juan Antonio Dip
Quality Assurance in Education (2024) Vol. 32, Iss. 3, pp. 293-307
Closed Access
Sentiment Tech: Exploring the Tools Shaping Emotional Analysis
Soni Sweta
SpringerBriefs in applied sciences and technology (2024), pp. 61-78
Closed Access
Transitioning to Online Instructions and COVID-19 Response: A View from Mining Emergent College Students Discourse in Online Discussion Forum
Yiwen Lin, Nia Nixon
International Journal of Artificial Intelligence in Education (2024) Vol. 34, Iss. 3, pp. 706-731
Open Access
Toward Better Education Quality through Students’ Sentiment Analysis Using AutoML
Corina Simionescu, Daniela Marcu, Marius Silviu Măciucă
BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE (2024) Vol. 15, Iss. 2, pp. 320-343
Open Access
Future Support Teachers’ Perceptions and Opinions on Effective Learning Through the Promotion of ICT
Ilaria Viola, Emanuela Zappalà, Maurizio Sibilio
Lecture notes in computer science (2024), pp. 67-78
Closed Access
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