Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Exploring the Performance of Ensemble Machine Learning Classifiers for Sentiment Analysis of COVID-19 Tweets
Md. Mahbubar Rahman, Muhammad Nazrul Islam
Advances in intelligent systems and computing (2021), pp. 383-396
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Social media mining under the COVID-19 context: Progress, challenges, and opportunities
Xiao Huang, Siqin Wang, Mengxi Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 113, pp. 102967-102967
Open Access | Times Cited: 52
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox
Nirmalya Thakur
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 116-116
Open Access | Times Cited: 26
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
Dimple Tiwari, Bharti Nagpal, Bhoopesh Singh Bhati, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 13407-13461
Open Access | Times Cited: 22
Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers
Ehtesham Hashmi, Sule Yildirim Yayilgan, Sarang Shaikh
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Sentiment analysis with ensemble and machine learning methods in multi-domain datasets
Muhammet Sinan Başarslan, Fatih Kayaalp
Turkish Journal of Engineering (2022) Vol. 7, Iss. 2, pp. 141-148
Open Access | Times Cited: 16
A Deep Learning Approach for Sentiment Classification of COVID-19 Vaccination Tweets
Haidi Said, B. Tawfik, M. A. Makhlouf
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 4
Open Access | Times Cited: 8
COVID‐19 and black fungus: Analysis of the public perceptions through machine learning
Nafiz Imtiaz Khan, Tahasin Mahmud, Muhammad Nazrul Islam
Engineering Reports (2021) Vol. 4, Iss. 4
Open Access | Times Cited: 17
Sentiment analysis system for COVID-19 vaccinations using data of Twitter
Eman Thabet Khalid, Entesar B. Talal, Methaq K. Khamees, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 26, Iss. 2, pp. 1156-1156
Open Access | Times Cited: 11
Leveraging machine learning to analyze sentiment from COVID‐19 tweets: A global perspective
Md. Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H. Sarker, et al.
Engineering Reports (2022) Vol. 5, Iss. 3
Open Access | Times Cited: 11
Enhanced sentiment analysis regarding COVID-19 news from global channels
Waseem Ahmad, Bang Wang, Philecia Martin, et al.
Journal of Computational Social Science (2022) Vol. 6, Iss. 1, pp. 19-57
Open Access | Times Cited: 9
An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets
H. Swapnarekha, Janmenjoy Nayak, H. S. Behera, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 2382-2407
Open Access | Times Cited: 8
Optimal Machine Learning Driven Sentiment Analysis on COVID-19 Twitter Data
Bahjat Fakieh, Abdullah Alghamdi, Farrukh Saleem, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 81-97
Open Access | Times Cited: 4
Sentiment Analysis of Twitter Data: A Review
Simarjeet Singh, Puneet Kumar
(2023), pp. 1-7
Closed Access | Times Cited: 4
Sentiment analysis using a deep ensemble learning model
Muhammet Sinan Başarslan, Fatih Kayaalp
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 42207-42231
Closed Access | Times Cited: 4
Evaluation of Machine Learning Approach for Sentiment Analysis using Yelp Dataset
Mujiono Sadikin, Abi Fauzan
European Journal of Electrical Engineering and Computer Science (2023) Vol. 7, Iss. 6, pp. 58-64
Open Access | Times Cited: 4
Stacking classifier method for prediction of human body performance
Noer Rachmat Octavianto, Antoni Wibowo
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 3, pp. 1832-1832
Open Access | Times Cited: 1
Sentiment analysis of coronavirus data with ensemble and machine learning methods
Muhammet Sinan Başarslan, Fatih Kayaalp
Turkish Journal of Engineering (2024) Vol. 8, Iss. 2, pp. 175-185
Open Access | Times Cited: 1
Imbalanced COVID-19 vaccine sentiment classification with synthetic resampling coupled deep adversarial active learning
Sankhadeep Chatterjee, Saranya Bhattacharjee, Asit Kumar Das, et al.
Machine Learning (2024) Vol. 113, Iss. 10, pp. 8027-8059
Closed Access | Times Cited: 1
Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance
Chenquan Gan, Xiaopeng Cao, Qingyi Zhu, et al.
Applied Intelligence (2023)
Closed Access | Times Cited: 3
COVID-19 sentiment analysis using college subreddit data
Tian Yan, Fang Liu
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0275862-e0275862
Open Access | Times Cited: 5
Sentiment Analysis of Bangladesh-specific COVID-19 Tweets using Deep Neural Network
Muhammad Nazrul Islam, Nafiz Imtiaz Khan, Ayon Roy, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 6
An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection by Analyzing S Protein Sequences
Raka Moni, Md. Zahid Hasan, Shahriar Shakil, et al.
Lecture notes in networks and systems (2024), pp. 441-453
Closed Access
Emotion Analysis of COVID-19 Vaccines Based on a Fuzzy Convolutional Neural Network
Dong Qiu, Yang Yu, Lei Chen
Cognitive Computation (2022) Vol. 16, Iss. 4, pp. 1874-1888
Open Access | Times Cited: 3
Sentiment Analysis of Social Media Data on Ebola Outbreak Using Deep Learning Classifiers
Alex Mirugwe, Clare Ashaba, Alice Namale, et al.
(2024)
Open Access
İŞLETMELERDE ÇALIŞANLARA YÖNELİK DUYGU ANALİZİNİN UYGULANMASI: POTANSİYEL FAYDALAR VE ZORLUKLAR
Engin YURDASEVER
Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2024)
Open Access
Page 1 - Next Page

Scroll to top