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:

A Hybrid Approach of Machine Learning and Lexicons to Sentiment Analysis: Enhanced Insights from Twitter Data of Natural Disasters
Shalak Mendon, Pankaj Dutta, Abhishek Behl, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 5, pp. 1145-1168
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

A survey on sentiment analysis methods, applications, and challenges
Mayur Wankhade, Annavarapu Chandra Sekhara Rao, Chaitanya Kulkarni
Artificial Intelligence Review (2022) Vol. 55, Iss. 7, pp. 5731-5780
Open Access | Times Cited: 692

MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification
Guangyu Mu, Jiaxue Li, Zhanhui Liu, et al.
Biomimetics (2025) Vol. 10, Iss. 1, pp. 41-41
Open Access | Times Cited: 2

Predictive Analysis of Economic Vulnerability Using News Data
Klenn Borja, Vivekjeet Singh Chambal, David Wangli
(2025)
Closed Access | Times Cited: 1

An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network
Dharmendra Dangi, Sonal Telang Chandel, Dheeraj Kumar Dixit, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 119849-119849
Closed Access | Times Cited: 23

A survey on sentiment analysis and its applications
Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al‐Betar, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21567-21601
Closed Access | Times Cited: 22

Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions
Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Ervin Gubin Moung, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101776-101776
Open Access | Times Cited: 21

A review of sentiment analysis: tasks, applications, and deep learning techniques
Neeraj Sharma, A. B. M. Shawkat Ali, Muhammad Ashad Kabir
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 11

Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study
Jyoti Choudrie, Shruti Patil, Ketan Kotecha, et al.
Information Systems Frontiers (2021) Vol. 23, Iss. 6, pp. 1431-1465
Open Access | Times Cited: 53

A Text Mining Analytic Approach for Distinguishing Between Disaster and Non-Disaster Zones from Tweets
Steven Walczak, Ly Dinh
International Journal of Disaster Risk Reduction (2025), pp. 105233-105233
Closed Access

Evolving techniques in sentiment analysis: a comprehensive review
M. R. Pavan Kumar, Lal Khan, Hsien-Tsung Chang
PeerJ Computer Science (2025) Vol. 11, pp. e2592-e2592
Open Access

AI-driven social media text analysis during crisis: A review for natural disasters and pandemics
Junaid Abdul Wahid, Mingliang Xu, Muhammad Ayoub, et al.
Applied Soft Computing (2025) Vol. 171, pp. 112774-112774
Closed Access

Graph-aware pre-trained language model for political sentiment analysis in Filipino social media
Jean Aristide Aquino, Di Jie Liew, Yung‐Chun Chang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110317-110317
Closed Access

A Hybrid Embedding Approach to Classify Crisis-Related Short Text
Basudev Nath, Deepak Sahoo, Nayan Ranjan Paul
Lecture notes in networks and systems (2025), pp. 1-7
Closed Access

Classification of crisis-related data on Twitter using a deep learning-based framework
Nayan Ranjan Paul, Deepak Sahoo, Rakesh Chandra Balabantaray
Multimedia Tools and Applications (2022) Vol. 82, Iss. 6, pp. 8921-8941
Closed Access | Times Cited: 23

Trends in bushfire related tweets during the Australian ‘Black Summer’ of 2019/20
Kerstin K. Zander, Stephen T. Garnett, Robert Ogie, et al.
Forest Ecology and Management (2023) Vol. 545, pp. 121274-121274
Open Access | Times Cited: 12

Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach
Shabir Hussain, Muhammad Ayoub, Ghulam Jilani, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118119-118119
Closed Access | Times Cited: 21

Evolution of social mood in Spain throughout the COVID-19 vaccination process: a machine learning approach to tweets analysis
Alberto Turón Lanuza, Alfredo Altuzarra Casas, José María Moreno‐Jiménez, et al.
Public Health (2022) Vol. 215, pp. 83-90
Open Access | Times Cited: 17

Time series sentiment analysis (SA) of relief operations using social media (SM) platform for efficient resource management
Gurman Bhullar, Aseem Khullar, Apoorva Kumar, et al.
International Journal of Disaster Risk Reduction (2022) Vol. 75, pp. 102979-102979
Closed Access | Times Cited: 15

User Privacy, Surveillance and Public Health during COVID-19 – An Examination of Twitterverse
Paras Bhatt, Naga Vemprala, Rohit Valecha, et al.
Information Systems Frontiers (2022) Vol. 25, Iss. 5, pp. 1667-1682
Open Access | Times Cited: 14

Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends
Wajdi Aljedaani, Eysha Saad, Furqan Rustam, et al.
Mathematics (2022) Vol. 10, Iss. 17, pp. 3199-3199
Open Access | Times Cited: 14

A review of deep learning techniques for disaster management in social media: trends and challenges
T. Pavani, Sree Jagadeesh Malla
The European Physical Journal Special Topics (2024)
Closed Access | Times Cited: 2

A performant deep learning model for sentiment analysis of climate change
Mustapha Lydiri, Yousef El Mourabit, Youssef El Habouz, et al.
Social Network Analysis and Mining (2022) Vol. 13, Iss. 1
Closed Access | Times Cited: 12

Analyzing research trends of sentiment analysis and its applications for Coronavirus disease (COVID-19): A systematic review
Vipin Jain, Kanchan Lata Kashyap
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 1, pp. 731-742
Closed Access | Times Cited: 7

An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets
Guangyu Mu, Jiaxue Li, Xiurong Li, et al.
Biomimetics (2024) Vol. 9, Iss. 9, pp. 533-533
Open Access | Times Cited: 2

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