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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:

Deep Sentiment Analysis: A Case Study on Stemmed Turkish Twitter Data
Harisu Abdullahi Shehu, Md. Haidar Sharif, Md Haris Uddin Sharif, et al.
IEEE Access (2021) Vol. 9, pp. 56836-56854
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning
Musa Adamu Wakili, Harisu Abdullahi Shehu, Md. Haidar Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-31
Open Access | Times Cited: 36
Sentimental Analysis of Twitter Users from Turkish Content with Natural Language Processing
Cagla Balli, Mehmet Serdar Güzel, Erkan Bostancı, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 23
Review on Sentiment Analysis of Tweets Using Machine Learning Techniques: A Data Science Perspective
Praful Sambhare, Niraj Narayan Uttarwar, P. Vaidya, et al.
Lecture notes in networks and systems (2025), pp. 495-512
Closed Access
Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
Electronics (2023) Vol. 12, Iss. 7, pp. 1517-1517
Open Access | Times Cited: 12
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Emotion Detection from Text and Sentiment Analysis of Ukraine Russia War using Machine Learning Technique
Abdullah Al Maruf, Zakaria Masud Ziyad, Md. Mahmudul Haque, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 12
Open Access | Times Cited: 18
Using the AraBERT Model for Customer Satisfaction Classification of Telecom Sectors in Saudi Arabia
Sulaiman Aftan, Habib Shah
Brain Sciences (2023) Vol. 13, Iss. 1, pp. 147-147
Open Access | Times Cited: 9
Sentiment Analysis of Financial Textual data Using Machine Learning and Deep Learning Models
Hero O. Ahmad, Shahla U. Umar
Informatica (2023) Vol. 47, Iss. 5
Open Access | Times Cited: 9
Sentiment Analysis in Turkish Question Answering Systems: An Application of Human-Robot Interaction
Kadir Tohma, Halil İbrahim Okur, Yakup Kutlu, et al.
IEEE Access (2023) Vol. 11, pp. 66522-66534
Open Access | Times Cited: 9
A Review of Deep Learning Models for Twitter Sentiment Analysis: Challenges and Opportunities
Laxmi Chaudhary, Nancy Girdhar, Deepak Kumar Sharma, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 3, pp. 3550-3579
Open Access | Times Cited: 6
The Comparison of Language Models with a Novel Text Filtering Approach for Turkish Sentiment Analysis
Zekeriya Anıl Güven
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 22, Iss. 2, pp. 1-16
Open Access | Times Cited: 10
A Novel End-to-End Turkish Text-to-Speech (TTS) System via Deep Learning
Saadin Oyucu
Electronics (2023) Vol. 12, Iss. 8, pp. 1900-1900
Open Access | Times Cited: 5
Sentiment Analysis in Social Media: A Case Study of Hike in University School Fees in Selected Nigerian Universities
Abdulahi Olarewaju Aremu, Isah Muhammad
Journal of Informatics and Web Engineering (2024) Vol. 3, Iss. 2, pp. 98-104
Open Access | Times Cited: 1
Unveiling Sentiments: A Deep Dive Into Sentiment Analysis for Low-Resource Languages—A Case Study on Hausa Texts
Harisu Abdullahi Shehu, Kaloma Usman Majikumna, Aminu Bashir Suleiman, et al.
IEEE Access (2024) Vol. 12, pp. 98900-98916
Open Access | Times Cited: 1
Emotion Detection and its Effect on Decision-making
Harisu Abdullahi Shehu
(2023)
Open Access | Times Cited: 3
Sentimental Technique Implementation on Textual Data
Baggam Sai Karthik, Dhavileswarapu NSSVV Durga Bharat, Md Afroz Alam, et al.
(2023), pp. 82-86
Closed Access | Times Cited: 3
Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques
Mahdi Abdollahi, Xiaoying Gao, Yi Mei, et al.
Artificial Intelligence in Medicine (2021) Vol. 120, pp. 102167-102167
Closed Access | Times Cited: 8
Guide for the application of the data augmentation approach on sets of texts in Spanish for sentiment and emotion analysis
Rodrigo Gutiérrez Benítez, Alejandra Segura-Navarrete, Christian Vidal‐Castro, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310707-e0310707
Open Access
Intelligence system for sentiment classification with deep topic embedding using N-gram based topic modeling
E. S. Smitha, S. Sendhilkumar, G. S. Mahalakshmi
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 1, pp. 1539-1565
Closed Access | Times Cited: 1
COVID-19 Hakkındaki Türkçe Tweetlerde LSTM Ağı Kullanılarak Duygu Sınıflandırması
Mustafa Çataltaş, Büşra ÜSTÜNEL, Nurdan Akhan Baykan
Konya Journal of Engineering Sciences (2023) Vol. 11, Iss. 2, pp. 341-353
Open Access | Times Cited: 1
Multinomial Naive Bayes Based Machine Learning Analysis of Twitter Sentiment
U.K.Balaji Saravanan, M. Vijay, T. Shreedhar, et al.
(2023) Vol. 15, pp. 429-434
Closed Access | Times Cited: 1
Machine Learning for Feeling Analysis in Twitter Communications: A Case Study in HEYDRU!, Perú
Rosa Alegre-Veliz, Pedro Gaspar-Ortiz, Javier Gamboa-Cruzado, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2022) Vol. 16, Iss. 24, pp. 126-142
Open Access | Times Cited: 2
Evaluation of Chinese Natural Language Processing System Based on Metamorphic Testing
Lingzi Jin, Zuohua Ding, Huihui Zhou
Mathematics (2022) Vol. 10, Iss. 8, pp. 1276-1276
Open Access | Times Cited: 1
Sentiment Analysis of Corona Vaccination on Twitter Data using Machine Learning Techniques
E. Chandralekha, Jemin V.M, P. Rama, et al.
2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (2022), pp. 708-712
Closed Access | Times Cited: 1
A Review: Sentiment Analysis Methods and their use in Social Media Platforms
Teja Venkata Sai Obulapuram, Jasw Anth Sai Reddy Yendreddy, Lakshmi Sarvagna Kotari, et al.
(2023), pp. 499-504
Closed Access
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