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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 of Big Data: Methods, Applications, and Open Challenges
Shahid Shayaa, Noor Ismawati Jaafar, Shamshul Bahri, et al.
IEEE Access (2018) Vol. 6, pp. 37807-37827
Open Access | Times Cited: 175

Showing 1-25 of 175 citing articles:

A survey on sentiment analysis methods, applications, and challenges
Mayur Wankhade, Annavarapu Chandra Sekhara Rao, Chaitanya Kulkarni
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5731-5780
Open Access | Times Cited: 698
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
Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model With Convolution Network
Lê Hoàng Sơn, Akshi Kumar, Saurabh Raj Sangwan, et al.
IEEE Access (2019) Vol. 7, pp. 23319-23328
Open Access | Times Cited: 183
The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review
Ahmet Selcuk Yalcin, Hüseyin Selçuk Kılıç, Dursun Delen
Technological Forecasting and Social Change (2021) Vol. 174, pp. 121193-121193
Closed Access | Times Cited: 144
A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce
Ragipati Karthik, Sannasi Ganapathy
Applied Soft Computing (2021) Vol. 108, pp. 107396-107396
Closed Access | Times Cited: 105
Application of MADM methods in Industry 4.0: A literature review
Wael Zayat, Hüseyin Selçuk Kılıç, Ahmet Selcuk Yalcin, et al.
Computers & Industrial Engineering (2023) Vol. 177, pp. 109075-109075
Closed Access | Times Cited: 48
Beyond Sentiment Analysis: A Review of Recent Trends in Text Based Sentiment Analysis and Emotion Detection
Lai Po Hung, Suraya Alias
Journal of Advanced Computational Intelligence and Intelligent Informatics (2023) Vol. 27, Iss. 1, pp. 84-95
Open Access | Times Cited: 43
Sentiment analysis of Arabic social media texts: A machine learning approach to deciphering customer perceptions
Ohud Alsemaree, Atm S. Alam, Sukhpal Singh Gill, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e27863-e27863
Open Access | Times Cited: 16
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
Decoding Public Sentiments on Energy Transition in Japan's Three Major Metropolitan Areas: Social Media Analysis Using Machine Learning
Shujie Sun, Zehui Guo, Chunxia Li, et al.
Journal of Cleaner Production (2025) Vol. 495, pp. 145038-145038
Closed Access | Times Cited: 1
Exploration of social media for sentiment analysis using deep learning
Liang-Chu Chen, Chia-Meng Lee, Mu‐Yen Chen
Soft Computing (2019) Vol. 24, Iss. 11, pp. 8187-8197
Closed Access | Times Cited: 104
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
Ali Bou Nassif, Ashraf Elnagar, Ismail Shahin, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106836-106836
Closed Access | Times Cited: 84
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Sheetal Kusal, Shruti Patil, Jyoti Choudrie, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 15129-15215
Closed Access | Times Cited: 31
Sentiment Analysis in E-Commerce Platforms: A Review of Current Techniques and Future Directions
Huang Huang, Adeleh Asemi, Mumtaz Begum Mustafa
IEEE Access (2023) Vol. 11, pp. 90367-90382
Open Access | Times Cited: 28
A survey on sentiment analysis and its applications
Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al‐Betar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21567-21601
Closed Access | Times Cited: 22
Developing big data enabled Marketing 4.0 framework
Shameek Mukhopadhyay, Rohit Kumar Singh, Tinu Jain
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 1, pp. 100214-100214
Open Access | Times Cited: 8
Determinants of Guest Experience in Airbnb: A Topic Modeling Approach Using LDA
Ian Sutherland, Kiattipoom Kiatkawsin
Sustainability (2020) Vol. 12, Iss. 8, pp. 3402-3402
Open Access | Times Cited: 61
The Essential of Sentiment Analysis and Opinion Mining in Social Media : Introduction and Survey of the Recent Approaches and Techniques
Hoong-Cheng Soong, Norazira Binti A Jalil, Ramesh Kumar Ayyasamy, et al.
(2019), pp. 272-277
Closed Access | Times Cited: 59
WITHDRAWN: A systematic study of sentiment analysis for social media data
Kanika Jindal, Rajni Aron
Materials Today Proceedings (2021)
Closed Access | Times Cited: 50
Sarcasm detection using deep learning and ensemble learning
Priya Goel, Rachna Jain, Anand Nayyar, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 30, pp. 43229-43252
Closed Access | Times Cited: 35
Sentiment Analysis Meets Explainable Artificial Intelligence: A Survey on Explainable Sentiment Analysis
Arwa Diwali, Kawther Saeedi, Kia Dashtipour, et al.
IEEE Transactions on Affective Computing (2023) Vol. 15, Iss. 3, pp. 837-846
Closed Access | Times Cited: 19
An analysis of customer perception using lexicon-based sentiment analysis of Arabic Texts framework
Ohud Alsemaree, Atm S. Alam, Sukhpal Singh Gill, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e30320-e30320
Open Access | Times Cited: 5
ANALYZING SOCIAL MEDIA SENTIMENT TOWARD SPECIFIC COMMODITIES FOR FORECASTING PRICE MOVEMENTS IN COMMODITY MARKETS
Mariono Mariono, Syaharuddin Syaharuddin, S. M. Ashraf, et al.
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2025) Vol. 19, Iss. 1, pp. 199-214
Closed Access
This bud (may not be) for you: An examination of perceptions of the Budweiser brand in the wake of the crisis involving transgender influencer Dylan Mulvaney
Amanda D. Damiano, Wenjing Xie, Chang-Han Jong
Atlantic Journal of Communication (2025), pp. 1-23
Closed Access
Multilingual twitter sentiment analysis using machine learning
K. Arun, A. Srinagesh
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2020) Vol. 10, Iss. 6, pp. 5992-5992
Open Access | Times Cited: 40
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