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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:

On Identifying Disaster-Related Tweets: Matching-Based or Learning-Based?
Hien To, Sumeet Agrawal, Seon‐Ho Kim, et al.
(2017), pp. 330-337
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Twitter as a tool for the management and analysis of emergency situations: A systematic literature review
María Martínez‐Rojas, María del Carmen Pardo-Ferreira, Juan Carlos Rubio‐Romero
International Journal of Information Management (2018) Vol. 43, pp. 196-208
Open Access | Times Cited: 200
Natural disasters detection in social media and satellite imagery: a survey
Naina Said, Kashif Ahmad, Michael A. Riegler, et al.
Multimedia Tools and Applications (2019) Vol. 78, Iss. 22, pp. 31267-31302
Closed Access | Times Cited: 120
Multimodal Categorization of Crisis Events in Social Media
Mahdi Abavisani, Liwei Wu, Shengli Hu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 14667-14677
Open Access | Times Cited: 79
Use of Social Media Data in Disaster Management: A Survey
Jedsada Phengsuwan, Tejal Shah, Nipun Balan Thekkummal, et al.
Future Internet (2021) Vol. 13, Iss. 2, pp. 46-46
Open Access | Times Cited: 70
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: 24
Social media information sharing for natural disaster response
Zhijie Dong, Meng Lingyu, Lauren Christenson, et al.
Natural Hazards (2021) Vol. 107, Iss. 3, pp. 2077-2104
Open Access | Times Cited: 52
Automated Machine Learning Approaches for Emergency Response and Coordination via Social Media in the Aftermath of a Disaster: A Review
Lokabhiram Dwarakanath, Amirrudin Kamsin, Rasheed Abubakar Rasheed, et al.
IEEE Access (2021) Vol. 9, pp. 68917-68931
Open Access | Times Cited: 47
The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany
(2021)
Open Access | Times Cited: 42
Geo-Spatial Multimedia Sentiment Analysis in Disasters
Abdullah Alfarrarjeh, Sumeet Agrawal, Seon‐Ho Kim, et al.
(2017) Vol. 6, pp. 193-202
Closed Access | Times Cited: 57
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness
Luke S. Snyder, Yi‐Shan Lin, Morteza Karimzadeh, et al.
IEEE Transactions on Visualization and Computer Graphics (2019), pp. 1-1
Open Access | Times Cited: 46
Where There Is Fire There Is SMOKE: A Scalable Edge Computing Framework for Early Fire Detection
Marios Avgeris, Dimitrios Spatharakis, Dimitrios Dechouniotis, et al.
Sensors (2019) Vol. 19, Iss. 3, pp. 639-639
Open Access | Times Cited: 43
A RoBERTa based model for identifying the multi-modal informative tweets during disaster
Sreenivasulu Madichetty, M. Srıdevı, Sreekanth Madisetty
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37615-37633
Closed Access | Times Cited: 16
Sentiment Analysis of Tweets on Coronavirus Disease 2019 (COVID-19) Pandemic from Metro Manila, Philippines
Manuel B. Garcia
Cybernetics and Information Technologies (2020) Vol. 20, Iss. 4, pp. 141-155
Open Access | Times Cited: 33
Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology Study
Xinyu Zhou, Yi Song, Hao Jiang, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 4, pp. e26518-e26518
Open Access | Times Cited: 29
Review article: Detection of actionable tweets in crisis events
Anna Kruspe, Jens Kersten, Friederike Klan
Natural hazards and earth system sciences (2021) Vol. 21, Iss. 6, pp. 1825-1845
Open Access | Times Cited: 27
Harnessing OSINT in Disaster Management: Transforming Microblogging Posts Into Insightful Data Through Text Embeddings
Klaus Schwarz, Reiner Creutzburg, Michael Hartmann, et al.
Algorithms for intelligent systems (2025), pp. 195-213
Closed Access
A deep learning-based social media text analysis framework for disaster resource management
Ashutosh Bhoi, Sthita Pragyan Pujari, Rakesh Chandra Balabantaray
Social Network Analysis and Mining (2020) Vol. 10, Iss. 1
Closed Access | Times Cited: 28
Development of a Flash Flood Confidence Index from Disaster Reports and Geophysical Susceptibility
Andrew Kruczkiewicz, Agathe Bucherie, Fernanda Ayala, et al.
Remote Sensing (2021) Vol. 13, Iss. 14, pp. 2764-2764
Open Access | Times Cited: 21
#Outage: Detecting Power and Communication Outages from Social Networks
Udit Paul, Alexander Ermakov, Michael Nekrasov, et al.
(2020)
Open Access | Times Cited: 21
Comparing Learning-Based Methods for Identifying Disaster-Related Tweets
Nasser Assery, Yuan Xiao-hong, Sultan Almalki, et al.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2019)
Closed Access | Times Cited: 20
I-AID: Identifying Actionable Information From Disaster-Related Tweets
Hamada M. Zahera, Rricha Jalota, Mohamed Ahmed Sherif, et al.
IEEE Access (2021) Vol. 9, pp. 118861-118870
Open Access | Times Cited: 14
Evaluation of rule-based, CountVectorizer, and Word2Vec machine learning models for tweet analysis to improve disaster relief
Radhika Goyal
(2021), pp. 16-19
Closed Access | Times Cited: 14
Ontology-based discovery of time-series data sources for landslide early warning system
Jedsada Phengsuwan, Tejal Shah, Philip James, et al.
Computing (2019) Vol. 102, Iss. 3, pp. 745-763
Open Access | Times Cited: 15
The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing
Christopher Loynes, Jamal Ouenniche, Johannes De Smedt
Annals of Operations Research (2020) Vol. 308, Iss. 1-2, pp. 339-371
Closed Access | Times Cited: 14
A Citizen-Sensing-Based Digital Service for the Analysis of On-Site Post-Earthquake Messages
Paolino Di Felice, Michele Iessi
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 3, pp. 136-136
Open Access | Times Cited: 13
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