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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:

Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews
Oladapo Oyebode, Felwah Alqahtani, Rita Orji
IEEE Access (2020) Vol. 8, pp. 111141-111158
Open Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
Gagandeep Kaur, Amit Sharma
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 106
Potential and Pitfalls of Mobile Mental Health Apps in Traditional Treatment: An Umbrella Review
Jerica Koh, Germaine Y. Q. Tng, Andree Hartanto
Journal of Personalized Medicine (2022) Vol. 12, Iss. 9, pp. 1376-1376
Open Access | Times Cited: 88
Machine learning techniques for emotion detection and sentiment analysis: current state, challenges, and future directions
Alaa Alslaity, Rita Orji
Behaviour and Information Technology (2022) Vol. 43, Iss. 1, pp. 139-164
Closed Access | Times Cited: 61
Health, Psychosocial, and Social Issues Emanating From the COVID-19 Pandemic Based on Social Media Comments: Text Mining and Thematic Analysis Approach
Oladapo Oyebode, Chinenye Ndulue, Ashfaq Adib, et al.
JMIR Medical Informatics (2021) Vol. 9, Iss. 4, pp. e22734-e22734
Open Access | Times Cited: 59
Investigating Influence of Google-Play Application Titles on Success
Bilal Ahmad, Hamid Turab Mirza, Ibrar Hussain, et al.
Big Data Research (2024) Vol. 36, pp. 100443-100443
Closed Access | Times Cited: 9
Critical behavioral traits foster peer engagement in Online Mental Health Communities
Aseem Srivastava, Tanya Gupta, Alison Cerezo, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316906-e0316906
Open Access | Times Cited: 1
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
Tailoring Persuasive and Behaviour Change Systems Based on Stages of Change and Motivation
Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, et al.
(2021), pp. 1-19
Closed Access | Times Cited: 48
mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis
Erin L. Funnell, Benedetta Spadaro, Nayra A Martin-Key, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 30
LSTM‐DGWO‐Based Sentiment Analysis Framework for Analyzing Online Customer Reviews
Kousik Barik, Sanjay Misra, Ajoy Kumar Ray, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 18
A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis
Alireza Ghorbanali, Mohammad Karim Sohrabi
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1479-1512
Closed Access | Times Cited: 17
Efficacy of digital mental health interventions for PTSD symptoms: A systematic review of meta-analyses
Germaine Y. Q. Tng, Jerica Koh, Xun Ci Soh, et al.
Journal of Affective Disorders (2024) Vol. 357, pp. 23-36
Open Access | Times Cited: 6
“Can I Not Be Suicidal on a Sunday?”: Understanding Technology-Mediated Pathways to Mental Health Support
Sachin R. Pendse, Amit Sharma, Aditya Vashistha, et al.
(2021), pp. 1-16
Open Access | Times Cited: 39
COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing
Oladapo Oyebode, Chinenye Ndulue, Dinesh Mulchandani, et al.
Journal of Healthcare Informatics Research (2022) Vol. 6, Iss. 2, pp. 174-207
Open Access | Times Cited: 28
A Systematic and Comparative Review of Behavior Change Strategies in Stress Management Apps: Opportunities for Improvement
Mona Alhasani, Dinesh Mulchandani, Oladapo Oyebode, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 24
User Perspectives and Ethical Experiences of Apps for Depression: A Qualitative Analysis of User Reviews
Dionne Bowie-DaBreo, Corina Sas, Heather Iles‐Smith, et al.
CHI Conference on Human Factors in Computing Systems (2022)
Open Access | Times Cited: 23
Rule Based Fuzzy Computing Approach on Self-Supervised Sentiment Polarity Classification with Word Sense Disambiguation in Machine Translation for Hindi Language
Shweta Chauhan, Jayashree Premkumar Shet, Shehab Mohamed Beram, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2023) Vol. 22, Iss. 5, pp. 1-21
Closed Access | Times Cited: 16
Adapting user experience with reinforcement learning: Personalizing interfaces based on user behavior analysis in real-time
Abdulrahman Khamaj, Abdulelah M. Ali
Alexandria Engineering Journal (2024) Vol. 95, pp. 164-173
Open Access | Times Cited: 5
Understanding Mental Health Apps for Youth: Focus Group Study With Latinx Youth
Elena Agapie, Katherine Chang, Sneha Patrachari, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 10, pp. e40726-e40726
Open Access | Times Cited: 21
Multimodal Educational Data Fusion for Students’ Mental Health Detection
Teng Guo, Wenhong Zhao, Mubarak Alrashoud, et al.
IEEE Access (2022) Vol. 10, pp. 70370-70382
Open Access | Times Cited: 20
Examining young adults daily perspectives on usage of anxiety apps: A user study
Andreas Balaskas, Stephen M. Schueller, Anna L. Cox, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 1, pp. e0000185-e0000185
Open Access | Times Cited: 12
Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation
Chinedu I. Ossai, Nilmini Wickramasinghe
Artificial Intelligence in Medicine (2023) Vol. 138, pp. 102509-102509
Closed Access | Times Cited: 11
Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data
Adjei Peter Darko, Collins Opoku Antwi, Kingsley Adjei, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123647-123647
Closed Access | Times Cited: 4
A systematic review of thematic content of alcohol mobile app reviews: how do we give the people what they want? (Preprint)
Megan Kirouac, Christina Gillezeau
JMIR mhealth and uhealth (2025) Vol. 13, pp. e63148-e63148
Open Access
Unveiling functional aspects in google play education app titles and descriptions influencing app success
Bilal Ahmad, Hamid Turab Mirza, Adnan Ahmad, et al.
Automated Software Engineering (2025) Vol. 32, Iss. 1
Closed Access
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