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:

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

Showing 18 citing articles:

Challenges and Opportunities of Text-Based Emotion Detection: A Survey
Abdullah Al Maruf, Fahima Khanam, Md. Mahmudul Haque, et al.
IEEE Access (2024) Vol. 12, pp. 18416-18450
Open Access | Times Cited: 18

A sentiment analysis of the Ukraine-Russia War tweets using knowledge graph convolutional networks
Brahami Menaouer, Safa Fairouz, Mohammed Boulekbachi Meriem, et al.
International Journal of Information Technology (2025)
Closed Access | Times Cited: 1

Emotion Detection in Egyptian Academics Sentiment About ChatGPT Usage in Academic Article Writing Using Word2Vec
Lamiaa Mostafa, Sara Beshir
Lecture notes on data engineering and communications technologies (2025), pp. 146-156
Closed Access

Ensemble Approach to Classify Spam SMS from Bengali Text
Abdullah Al Maruf, Abdullah Al Numan, Md. Mahmudul Haque, et al.
Communications in computer and information science (2023), pp. 440-453
Closed Access | Times Cited: 7

Mining themes, emotions, and stance in the news coverage of the Russia–Ukraine War from Reuters and Xinhua
Zhaokun Jiang
Digital Scholarship in the Humanities (2024) Vol. 39, Iss. 2, pp. 609-624
Closed Access | Times Cited: 2

Sentiment Analysis of Tweets on the Russia-Ukraine War
Nilani Pathinayake, Lasitha Kulatileke, Chethana Hettiarachchi, et al.
(2024), pp. 143-148
Closed Access | Times Cited: 2

Математична модель формування векторного уявлення україномовного тексту
Olha Pronina, A. Golubets
COMPUTER-INTEGRATED TECHNOLOGIES EDUCATION SCIENCE PRODUCTION (2024), Iss. 54, pp. 179-185
Open Access

Classification of Fine-Grained Emotions
Ubeeka Jain, Parminder Singh
Algorithms for intelligent systems (2024), pp. 503-518
Closed Access

Comparative Analysis of EmoRoBERTa and Distilled Zero-shot Student Model for Emotion Detection in Texts
Mary Joy P. Canon, Lany L. Maceda, Christian Y. Sy, et al.
(2024), pp. 382-388
Closed Access

Public Opinion in Conflict Situations: A Sentiment Analysis of Tweets About Russia During the War on Ukraine
José Miguel Pina Pérez
Defence and Peace Economics (2024), pp. 1-15
Closed Access

A Fine-Tuned Distilled Zero-Shot Student Model for Emotion Detection in Academic-Related Responses
Mary Joy P. Canon
International Journal of Information and Education Technology (2024) Vol. 14, Iss. 7, pp. 1023-1034
Open Access

A Web-based Sentiment Analyzer for Tweets Using Machine Learning Techniques
Modupe Agagu, Samuel Damilare Gbadebo
(2024), pp. 1-7
Closed Access

Text Mining for Fine-Grained Emotion Detection
Ubeeka Jain, Parminder Singh
Lecture notes in networks and systems (2024), pp. 423-437
Closed Access

Research on Rapid Extraction and Text Clustering of Russian Words Based on PCA-K means Algorithm
Yang Wang
Proceedings of the 7th International Conference on Cyber Security and Information Engineering (2024), pp. 1060-1066
Closed Access

SENTIMENT ANALYSIS IN TEXT BASED SYSTEMS USING MACHINE LEARNING TECHNIQUES
Konul Jabbarova Konul Jabbarova, Ali Nasrullayev Ali Nasrullayev
ETM Equipment Technologies Materials (2023) Vol. 16, Iss. 04, pp. 04-08
Open Access | Times Cited: 1



ETM Equipment Technologies Materials (2023) Vol. 16
Open Access



ETM Equipment Technologies Materials (2023) Vol. 16, Iss. 04
Open Access

System Project for Ukrainian-language Feedback Tonality Analysis in the Health Care Field Based on BERT Model
Volodymyr Motyka, Victoria Vysotska, Lyubomyr Chyrun, et al.
(2023), pp. 1-6
Closed Access

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