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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:

Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises
Shivam Behl, Aman Rao, Sahil Aggarwal, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 55, pp. 102101-102101
Closed Access | Times Cited: 81

Showing 51-75 of 81 citing articles:

Social Media Analytics for Disaster Management using BERT Model
Sherin R Varghese, Sujitha Juliet, J. Anitha
(2023), pp. 1-6
Closed Access | Times Cited: 2
sentiment analysis on massive open online course evaluation
Yan Xiao-wei, Guangmin Li, Qian Li, et al.
(2021) Vol. 26, pp. 245-249
Closed Access | Times Cited: 5
Analysis for Online Product Recommendation with recalling enhanced recurrent neural network-based sentiment
Nor Ashikin Mohamad Kamal, V. Sathiya, D. Jayashree, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 7, pp. 4309-4332
Closed Access
Deep Learning Based Reliable User Identification in Social Media During Crisis
C. Valliyammai, Manikandan Dhayanithi, Nithish Kumar G E SivaKumar, et al.
Communications in computer and information science (2024), pp. 79-90
Closed Access
Assessing the Effectiveness of ML Algorithms in Earthquake Damage Prediction
Avinash Bhandiya, Kapil Pandey
Algorithms for intelligent systems (2024), pp. 321-331
Closed Access
Assessment of Lime’s Performance in Sentiment Analysis of Sentences with Varying Lengths
Lennard Damer, Almuth Müller
Lecture notes in networks and systems (2024), pp. 585-598
Closed Access
Automatic Detection of Coronaphobia in Twitter: Study Case of Republic of Panama
Denis Cedeño-Moreno, Miguel Vargas-Lombardo, Nila Navarro
Lecture notes in networks and systems (2024), pp. 110-124
Closed Access
Social Network Analysis untuk Identifikasi Pengguna Twitter Berpengaruh pada Topik Bencana Gempa dan Tsunami di Indonesia
Ibnu Santoso, Siskarossa Ika Oktora, Siti Muchlisoh, et al.
Jurnal Edukasi dan Penelitian Informatika (JEPIN) (2023) Vol. 9, Iss. 1, pp. 115-115
Open Access | Times Cited: 1
Sentiment Analysis on Large-Scale Covid-19 Tweets using Hybrid Convolutional LSTM Based on Naïve Bayes Sentiment Modeling
Arunava Kumar Chakraborty, Dipankar Das, Anup Kumar Kolya
ECTI Transactions on Computer and Information Technology (ECTI-CIT) (2023) Vol. 17, Iss. 3, pp. 343-357
Open Access | Times Cited: 1
Systematic Literature Review: Analisis Sentimen Berbasis Deep Learning
Fitroh Fitroh, Fahmi Hudaya
Jurnal Nasional Teknologi dan Sistem Informasi (2023) Vol. 9, Iss. 2, pp. 132-140
Open Access | Times Cited: 1
Deep Learning-Based Disaster Sentiment Analysis of Unbalanced Twitter Data: The Case of Indonesia Earthquake
Rona Nisa Sofia Amriza, Sena Wijayanto
2018 6th International Conference on Cyber and IT Service Management (CITSM) (2023), pp. 1-6
Closed Access | Times Cited: 1
Detecting the public’s information behaviour preferences in multiple emergency events
Qingqing Zhou
Journal of Information Science (2021) Vol. 49, Iss. 4, pp. 871-886
Closed Access | Times Cited: 3
Exploratory Analysis of Fundamental Spiritual Support Factors to a Positive Attitude in Patients with COVID-19 Using Natural-Language Processing Algorithms
Jorge Sánchez-Garcés, Javier Linkolk López‐Gonzales, Miguel Palacio-Farfán, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9524-9524
Open Access | Times Cited: 3
Twitter Sentiment Analysis on Oxygen Supply During Covid 19 Outbreak
Akash Kashyap, Kunal Yadav, Sweta Srivastava
Lecture notes in electrical engineering (2022), pp. 655-665
Closed Access | Times Cited: 2
A multimodal data analysis approach for social media during natural disasters
mengna zhang, qisong huang
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic
Nina Martin, Lisa Poirier, Andrew J. Rosenblum, et al.
(2022)
Open Access | Times Cited: 1
iRelevancy: a framework to identify the relevancy of a social media message to a disaster
Annie Singla, Rajat Agrawal
Global Knowledge Memory and Communication (2023)
Closed Access
An Exhaustive Sentiment and Emotion Analysis of COVID-19 Tweets Using Machine Learning, Ensemble Learning and Deep Learning Techniques
Jasleen Kaur, Smit Patel, Meet Vasani, et al.
Lecture notes in networks and systems (2023), pp. 443-459
Closed Access
Transformer-based Information Extraction from Twitter Text on Complaint Monitoring System
Diana Purwitasari, Chastine Fatichah, Amelia Devi Putri Ariyanto, et al.
Research Square (Research Square) (2023)
Closed Access
Hybrid Approaches to Sentiment Analysis of Social Media Data
Nguyễn Thành Luân, Thi Thanh Sang Nguyen, Adrianna Kozierkiewicz
Lecture notes in computer science (2023), pp. 87-98
Closed Access
Análisis de redes sociales en torno a la emergencia sanitaria de COVID-19
Everardo Bárcenas, Agustín Daniel Ambrosio-Aguilar, Guillermo Molero–Castillo, et al.
TIES Revista de Tecnología e Innovación en Educación Superior (2023), Iss. 7, pp. 1-8
Open Access


TIES Revista de Tecnología e Innovación en Educación Superior (2023), Iss. 7
Open Access
Automatic Classification of Tweets Identifying Mental Health Conditions in Central American Population in a Pandemic
Denis Cedeño-Moreno, Miguel Vargas-Lombardo, Nila Navarro
Communications in computer and information science (2023), pp. 123-137
Closed Access
Machine Learning Based a Comparative Analysis for Detecting Tweets of Earthquake Victims Asking for Help in The 2023 Turkey-Syria Earthquake
Anıl Utku, Ümit Can
Journal of Soft Computing and Artificial Intelligence (2023)
Open Access
Enhancing Mental Health Awareness through Twitter Analysis: A Comparative Study of Machine Learning and Hybrid Deep Learning Techniques
Rohini Kancharapu, Sri Nagesh Ayyagari
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 105-117
Open Access

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