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 financial Twitter posts on Twitter with the machine learning classifiers
Handan Çam, Alper Veli Cam, Uğur Demirel, et al.
Heliyon (2023) Vol. 10, Iss. 1, pp. e23784-e23784
Open Access | Times Cited: 17

Showing 17 citing articles:

A hybrid machine learning model for sentiment analysis and satisfaction assessment with Turkish universities using Twitter data
Abdulfattah E. Ba Alawi, Ferhat Bozkurt
Decision Analytics Journal (2024) Vol. 11, pp. 100473-100473
Open Access | Times Cited: 4

Current Status and Future Prospects of Sentiment Analysis in Social Media Texts
Yahan Zhang
ITM Web of Conferences (2025) Vol. 73, pp. 03006-03006
Open Access

Predicting Borsa Istanbul Banking and Finance Stocks Using Turkish Social Media Sentiment with Machine and Deep Learning
Deniz Sevinç
Contributions to finance and accounting (2025), pp. 135-154
Closed Access

Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features
Yongyong Sun, He Yuan, Fei Xu
Natural Language Processing Journal (2025) Vol. 11, pp. 100148-100148
Open Access

Sentiment Analysis of TikTok Shop Closure in Indonesia on Twitter Using Supervised Machine Learning
Noor Zalekha Al Habesyah, Rudy Herteno, Fatma Indriani, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2024) Vol. 6, Iss. 2, pp. 148-156
Open Access | Times Cited: 2

Optimized Support Vector Machine with Particle Swarm Optimization to Improve the Accuracy Amazon Sentiment Analysis Classification
Maylinna Rahayu Ningsih, Jumanto Jumanto, Dwika Ananda Agustina Pertiwi, et al.
Kinetik Game Technology Information System Computer Network Computing Electronics and Control (2024), pp. 101-108
Open Access | Times Cited: 1

Llama2-13b-based NEFT fine-tuning for financial sentiment classification
Yimin Ou, Zheng Hui, Tong Zhou, et al.
(2024), pp. 641-644
Closed Access | Times Cited: 1

Perbandingan Algoritma Maching Learning dalam Analisis Sentimen Mobil Listrik di Indonesia pada Media Sosial Twitter/X
Victor Tarigan, Ade Yusupa
Jurnal Informatika Polinema (2024) Vol. 10, Iss. 4, pp. 479-490
Open Access | Times Cited: 1

Sentiment Analysis on Marketplace in Indonesia using Support Vector Machine and Naïve Bayes Method
Muhammad Mujahid Dakwah, Asno Azzawagama Firdaus, Furizal Furizal, et al.
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (2024) Vol. 10, Iss. 1, pp. 39-39
Open Access

Social Media as an Agent of Influence: Twitter Bots in Russia - Ukraine War
Muhammed Hayati Taban, İsmail Gür
Güvenlik Stratejileri Dergisi (2024) Vol. 20, Iss. 47, pp. 99-122
Open Access

Adaptive Evolutionary Computing Ensemble Learning Model for Sentiment Analysis
Xiaoyang Liu, Kangqi Zhang, Giacomo Fiumara, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6802-6802
Open Access

EFFECTS OF STRATIFIED CROSS-VALIDATION AND HYPERPARAMETER TUNING ON SENTIMENT CLASSIFICATION WITH THE CHI2-RFE HYBRID FEATURE SELECTION TECHNIQUE IN THE IMDB DATASET
Pankaj Kumar Gautam, Akhilesh A. Waoo
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 5
Closed Access

A Stacking Ensemble Based on Lexicon and Machine Learning Methods for the Sentiment Analysis of Tweets
Sharaf J. Malebary, Anas W. Abulfaraj
Mathematics (2024) Vol. 12, Iss. 21, pp. 3405-3405
Open Access

Hyperparameter Optimization of Machine Learning Models Using Grid Search for Twitter Sentiment Analysis
Wesam Ahmed, Noura A. Semary, Khalid Amin, et al.
Advances in computational intelligence and robotics book series (2024), pp. 419-432
Closed Access

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