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:

Comparative Sentiment Analysis of App Reviews
Sakshi Ranjan, Subhankar Mishra
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2020), pp. 1-7
Open Access | Times Cited: 16

Showing 16 citing articles:

Enhancing Sentiment Analysis with GPT—A Comparison of Large Language Models and Traditional Machine Learning Techniques
Tobechi Obinwanne, Patrick Brandtner
Lecture notes in networks and systems (2024), pp. 187-197
Closed Access | Times Cited: 3

Sentiment analysis on google play store app users’ reviews based on deep learning approach
P. H. C. Samanmali, R. A. H. M. Rupasingha
Multimedia Tools and Applications (2024) Vol. 83, Iss. 36, pp. 84425-84453
Closed Access | Times Cited: 3

Recognizing factors effecting the use of mobile banking apps through sentiment and thematic analysis on user reviews
Toqeer Mahmood, Saba Naseem, Rehan Ashraf, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 27, pp. 19885-19897
Closed Access | Times Cited: 7

K-Fold Cross-Validation through Identification of the Opinion Classification Algorithm for the Satisfaction of University Students
Omar Chamorro-Atalaya, José Antonio Arévalo-Tuesta, Denisse Balarezo-Mares, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 11
Open Access | Times Cited: 7

Sentiment Analysis of User-Generated Reviews of Women Safety Mobile Applications
Afrin Jaman Bonny, Mehrin Jahan, Zannatul Ferdhoush Tuna, et al.
2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) (2022), pp. 1-6
Closed Access | Times Cited: 10

A machine learning application to Google Maps Reviews as a participatory planning tool
M. Şahin Akkaya, Özlem Özçevik, Emre Tepe
International Journal of Urban Sciences (2024) Vol. 28, Iss. 3, pp. 379-402
Closed Access | Times Cited: 1

Sentiment Analysis of Mixed-Case Language using Natural Language Processing
Priyanka Awatramani, Rucha Daware, Hrushabhsingh Chouhan, et al.
2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (2021), pp. 651-658
Closed Access | Times Cited: 7

A Phrase-Level User Requests Mining Approach in Mobile Application Reviews: Concept, Framework, and Operation
Cheng Yang, Lingang Wu, Chunyang Yu, et al.
Information (2021) Vol. 12, Iss. 5, pp. 177-177
Open Access | Times Cited: 7

User Reviews of Depression App Features: Sentiment Analysis
Julien Meyer, Senanu Okuboyejo
JMIR Formative Research (2021) Vol. 5, Iss. 12, pp. e17062-e17062
Open Access | Times Cited: 6

Survey on Sentiment Analysis of User Reviews
Saba Naseem, Toqeer Mahmood, Muhammad Asif, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access | Times Cited: 6

Demystifying “removed reviews” in iOS app store
Liu Wang, Haoyu Wang, Xiapu Luo, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022), pp. 1489-1499
Closed Access | Times Cited: 3

Perceiving university students' opinions from Google app reviews
Sakshi Ranjan, Subhankar Mishra
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 10
Open Access | Times Cited: 4

Predicting Mobile Apps Performance using Machine Learning
Sabreen Abulhaija, Shyma Hattab, Ahmad Abdeen, et al.
Journal of System and Management Sciences (2022)
Open Access | Times Cited: 1

User Recognition for App Rating using Machine Learning
Y. Justindhas, Muhammad Shafiq, Varun Kumar. M, et al.
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 901-907
Closed Access

Dynamic PScore: A Dynamic Method to Prioritize User Reviews
Mehrdad Razavi Dehkordi, Hamid Rastegari, Akbar Nabiolahi Najafabadi, et al.
Research Square (Research Square) (2023)
Open Access

AppGuider: Feature Comparison System using Neural Network with FastText and Aspect-based Sentiment Analysis on Play Store User Reviews
D.M.K. Oshadi, Samantha Thelijjagoda
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1148-1155
Closed Access

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