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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:

Mining opinions from instructor evaluation reviews: A deep learning approach
Aytuǧ Onan
Computer Applications in Engineering Education (2019) Vol. 28, Iss. 1, pp. 117-138
Closed Access | Times Cited: 249

Showing 1-25 of 249 citing articles:

Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks
Aytuǧ Onan
Concurrency and Computation Practice and Experience (2020) Vol. 33, Iss. 23
Closed Access | Times Cited: 359
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach
Aytuǧ Onan
Computer Applications in Engineering Education (2020) Vol. 29, Iss. 3, pp. 572-589
Closed Access | Times Cited: 310
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews
Praphula Kumar Jain, Rajendra Pamula, Gautam Srivastava
Computer Science Review (2021) Vol. 41, pp. 100413-100413
Open Access | Times Cited: 247
Systematic reviews in sentiment analysis: a tertiary study
Alexander Ligthart, Cagatay Catal, Bedir Teki̇nerdoğan
Artificial Intelligence Review (2021) Vol. 54, Iss. 7, pp. 4997-5053
Open Access | Times Cited: 223
Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
Zenun Kastrati, Fisnik Dalipi, Ali Shariq Imran, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 3986-3986
Open Access | Times Cited: 161
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi, Rahee Walambe, Ketan Kotecha
IEEE Access (2021) Vol. 9, pp. 59800-59821
Open Access | Times Cited: 130
Recent trends in mathematical expressions recognition: An LDA-based analysis
Sakshi Sakshi, Vinay Kukreja
Expert Systems with Applications (2022) Vol. 213, pp. 119028-119028
Closed Access | Times Cited: 71
SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization
Aytuǧ Onan
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 7, pp. 101611-101611
Open Access | Times Cited: 54
Examining the relationship between peer feedback classified by deep learning and online learning burnout
Changqin Huang, Yaxin Tu, Zhongmei Han, et al.
Computers & Education (2023) Vol. 207, pp. 104910-104910
Closed Access | Times Cited: 49
Detection of cross-site scripting (XSS) attacks using machine learning techniques: a review
Jasleen Kaur, Urvashi Garg, Gourav Bathla
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12725-12769
Closed Access | Times Cited: 42
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Md Shofiqul Islam, Muhammad Nomani Kabir, Ngahzaifa Ab Ghani, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 18
Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism
Tingting Mou, Hongbo Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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
The power of ensemble learning in sentiment analysis
Jacqueline Kazmaier, Jan H. van Vuuren
Expert Systems with Applications (2021) Vol. 187, pp. 115819-115819
Closed Access | Times Cited: 66
Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques
Prasannavenkatesan Theerthagiri, J. Vidya
Expert Systems (2022) Vol. 39, Iss. 9
Open Access | Times Cited: 42
Knowledge discovery for course choice decision in Massive Open Online Courses using machine learning approaches
Mehrbakhsh Nilashi, Behrouz Minaei-Bidgoli, Abdullah Alghamdi, et al.
Expert Systems with Applications (2022) Vol. 199, pp. 117092-117092
Closed Access | Times Cited: 38
LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification
Zeyu Ren, Yudong Zhang, Shuihua Wang‎
Technology in Cancer Research & Treatment (2022) Vol. 21
Open Access | Times Cited: 37
Proactive and reactive engagement of artificial intelligence methods for education: a review
Sruti Mallik, Ahana Gangopadhyay
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 34
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images
Sohaib Asif, Ming Zhao, Xuehan Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 3, pp. 499-514
Closed Access | Times Cited: 28
Enhancing the efficacy of depression detection system using optimal feature selection from EHR
Sweta Bhadra, Chandan Jyoti Kumar
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 2, pp. 222-236
Closed Access | Times Cited: 25
Developing an analytical framework for estimating food security indicators in the United Arab Emirates: A review
Khalil A. Ammar, Ahmed M. S. Kheir, Beshir M. Ali, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 3, pp. 5689-5708
Open Access | Times Cited: 21
A novel methodology using RNN + LSTM + ML for predicting student’s academic performance
Ashima Kukkar, Rajni Mohana, Aman Sharma, et al.
Education and Information Technologies (2024) Vol. 29, Iss. 11, pp. 14365-14401
Closed Access | Times Cited: 9
Improving the quality of teaching by utilising written student feedback: A streamlined process
Maija Hujala, Antti Knutas, Timo Hynninen, et al.
Computers & Education (2020) Vol. 157, pp. 103965-103965
Open Access | Times Cited: 52
Weighted word embeddings and clustering‐based identification of question topics in MOOC discussion forum posts
Aytuǧ Onan, Mansur Alp Toçoğlu
Computer Applications in Engineering Education (2020) Vol. 29, Iss. 4, pp. 675-689
Closed Access | Times Cited: 50
A comparison of machine learning models for suspended sediment load classification
Nouar AlDahoul, Ali Najah Ahmed, Mohammed Falah Allawi, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1211-1232
Open Access | Times Cited: 30
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