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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:

Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape
Koena Ronny Mabokela, Turgay Çelik, Mpho Raborife
IEEE Access (2022) Vol. 11, pp. 15996-16020
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review
Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, et al.
Natural Language Processing Journal (2024) Vol. 6, pp. 100059-100059
Open Access | Times Cited: 40
Bridging the Emotional Gap: Google NL-AI Sentiment Analysis in Comparing Moroccan Literary Translations
Khadija Refouh, Mimoune Daoudi
Communications in computer and information science (2025), pp. 49-62
Closed Access
Enhanced Multilingual Sentiment Analysis Using Hybrid CNN-GRU Deep Learning Architecture
Vipin Jain, Garima Mohanani, Arpit Gaur, et al.
Communications in computer and information science (2025), pp. 357-370
Closed Access
Multilingual user perceptions analysis from twitter using zero shot learning for border control technologies
Sarang Shaikh, Sule Yildirim Yayilgan, Mohamed Abomhara, et al.
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
Methods of Data Preparation for Multilingual Sentiment Analysis Using Neural Networks
Roman D. Golovin
Studies in big data (2025), pp. 437-444
Closed Access
Hate speech detection using LSTM and explanation by LIME (local interpretable model-agnostic explanations)
Ravi Shekhar Tiwari
Elsevier eBooks (2024), pp. 93-110
Closed Access | Times Cited: 3
Sentiment Analysis in Low-Resource Settings: A Comprehensive Review of Approaches, Languages, and Data Sources
Aliyu Yusuf, Aliza Sarlan, Kamaluddeen Usman Danyaro, et al.
IEEE Access (2024) Vol. 12, pp. 66883-66909
Open Access | Times Cited: 3
Trends and challenges in sentiment summarization: a systematic review of aspect extraction techniques
Nur Hayatin, Suraya Alias, Lai Po Hung
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 3671-3717
Closed Access | Times Cited: 2
Central Banks and Policy Communication: How Emerging Markets have Outperformed the Fed and ECB
Tatiana Evdokimova, Piroska Nagy-Mohacsi, Olga Ponomarenko, et al.
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 5
Fine-tuning Multilingual Transformers for Hausa-English Sentiment Analysis
Aliyu Yusuf, Aliza Sarlan, Kamaluddeen Usman Danyaro, et al.
(2023), pp. 13-18
Closed Access | Times Cited: 4
Lexicon dataset for the Hausa language
Idi Mohammed, Rajesh Prasad
Data in Brief (2024) Vol. 53, pp. 110124-110124
Open Access | Times Cited: 1
Twitter Sentiment Analysis in Resource Limited Language
Riya Gupta, Sandli Agarwal, Shreya Garg, et al.
Lecture notes in computer science (2024), pp. 45-58
Closed Access | Times Cited: 1
Detecting Offensive Language on Malay Social Media: A Zero-Shot, Cross-Language Transfer Approach Using Dual-Branch mBERT
Xingyi Guo, Hamedi Mohd Adnan, Muhammad Zaiamri Zainal Abidin
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5777-5777
Open Access | Times Cited: 1
Advanced Novel NLP Approach for Emotion Detection in Poetry
J. Dafni Rose, S Bhuwaneshwaran, S Dhiyanesh
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access | Times Cited: 1
Building lexicon-based sentiment analysis model for low-resource languages
Idi Mohammed, Rajesh Prasad
MethodsX (2023) Vol. 11, pp. 102460-102460
Open Access | Times Cited: 4
AI for Social Good: Sentiment Analysis to Detect Social Challenges in South Africa
Koena Ronny Mabokela, Tim Schlippe
Communications in computer and information science (2022), pp. 309-322
Closed Access | Times Cited: 6
Proceedings of the Fourth workshop on Resources for African Indigenous Languages (RAIL 2023)
Kenneth Steimel, Sandra Kübler, Daniel Dakota, et al.
(2023)
Open Access | Times Cited: 2
Decoding Sentiments: Virtue or Vice through Multilingual Paragraph Analysis
U Vishal, Mrs. V. Veena, R M Poornima
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 62-69
Open Access
Uncovering Media Bias in Eviction Reporting: A Comprehensive Analysis Utilising Sentiment Analysis Framework and Social Media Data
Ronny Mabokela Koena, Mpho Primus, Linda Mahlobo
(2024) Vol. 5, Iss. 1
Open Access
Sentiment Analysis of Modern Chinese Literature Based on Deep Learning
Xiaohui Shen
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 1565-1574
Open Access
Multilingual Sentiment Analysis on Social Media: Harnessing Deep Learning for Enhanced Insights and Decision Support for Foreign Travelers
Mehedi Hasan, Md. Tahmid Rahman, Abu Hasnayen Zillanee, et al.
(2024), pp. 166-171
Closed Access
Building a Dataset for Misinformation Detection in the Low-Resource Language
M.H. Mukwevho, Seani Rananga, Mahlatse Mbooi, et al.
2021 IST-Africa Conference (IST-Africa) (2024), pp. 01-09
Closed Access
Implementation of SVM, k-NN, and DT for Toxicity and Sentiment Classification of AWA Vlog Content in Wasur National Park
Yerik Afrianto Singgalen
JURNAL MEDIA INFORMATIKA BUDIDARMA (2024) Vol. 8, Iss. 2, pp. 922-922
Open Access
Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages
Koena Ronny Mabokela, Mpho Primus, Turgay Çelik
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 11, pp. 160-160
Open Access
A Study on Different Methods in Sentiment Analysis from Text
Chaitanya B Pednekar, S. Prabakeran
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2023), pp. 1115-1122
Closed Access | Times Cited: 1
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