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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:

Classifying informative and non-informative tweets from the twitter by adapting image features during disaster
Sreenivasulu Madichetty, M. Srıdevı
Multimedia Tools and Applications (2020) Vol. 79, Iss. 39-40, pp. 28901-28923
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

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
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
Sree Jagadeesh Malla, Alphonse P.J.A.
Applied Soft Computing (2021) Vol. 107, pp. 107495-107495
Open Access | Times Cited: 77
Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response
Junaid Abdul Wahid, Lei Shi, Yufei Gao, et al.
Expert Systems with Applications (2022) Vol. 195, pp. 116562-116562
Closed Access | Times Cited: 46
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model
Muhammad Shahid Iqbal Malik, Muhammad Zeeshan Younas, Mona Jamjoom, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1859-e1859
Open Access | Times Cited: 7
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
José Alberto Bení­tez-Andrades, José-Manuel Alija-Pérez, María-Esther Vidal, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 2, pp. e34492-e34492
Open Access | Times Cited: 35
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
Rani Koshy, E. Sivasankar
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1607-1627
Closed Access | Times Cited: 35
CAMM: Cross-Attention Multimodal Classification of Disaster-Related Tweets
Anuradha Khattar, S. M. K. Quadri
IEEE Access (2022) Vol. 10, pp. 92889-92902
Open Access | Times Cited: 28
Context-Aware Transfer Learning Approach to Detect Informative Social Media Content for Disaster Management
Saima Saleem, Monica Mehrotra
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
A crisis event classification method based on a multimodal multilayer graph model
Jing Wang, Shuo Yang, Hui Zhao, et al.
Neurocomputing (2025), pp. 129271-129271
Closed Access
Informative task classification with concatenated embeddings using deep learning on crisisMMD
Tripti Jain, Dinesh Gopalani, Yogesh Kumar Meena
International Journal of Computers and Applications (2025), pp. 1-18
Closed 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
A novel method for identifying the damage assessment tweets during disaster
Sreenivasulu Madichetty, M. Srıdevı
Future Generation Computer Systems (2020) Vol. 116, pp. 440-454
Closed Access | Times Cited: 45
“Generalization of convolutional network to domain adaptation network for classification of disaster images on twitter”
Anuradha Khattar, S. M. K. Quadri
Multimedia Tools and Applications (2022) Vol. 81, Iss. 21, pp. 30437-30464
Closed Access | Times Cited: 25
Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review
Nilani Algiriyage, Raj Prasanna, Kristin Stock, et al.
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 23
Detection of situational information from Twitter during disaster using deep learning models
Sreenivasulu Madichetty, Sridevi Muthukumarasamy
Sadhana (2020) Vol. 45, Iss. 1
Closed Access | Times Cited: 24
Correlating Twitter Use with Disaster Resilience at Two Spatial Scales: A Case Study of Hurricane Sandy
Kejin Wang, Nina Lam, Volodymyr Mihunov
Annals of GIS (2023) Vol. 29, Iss. 1, pp. 1-20
Open Access | Times Cited: 8
Identifying humanitarian information for emergency response by modeling the correlation and independence between text and images
Xuehua Wu, Jin Mao, Hao Xie, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102977-102977
Closed Access | Times Cited: 12
NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training
Priyanshu Kumar, Aadarsh Singh
(2020), pp. 404-408
Open Access | Times Cited: 20
Utilizing microblogs for optimized real-time resource allocation in post-disaster scenarios
Moumita Basu, Sipra Das Bit, Saptarshi Ghosh
Social Network Analysis and Mining (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 17
Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management
Rani Koshy, E. Sivasankar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 41405-41439
Closed Access | Times Cited: 5
Multi-source domain adaptation of social media data for disaster management
Anuradha Khattar, S. M. K. Quadri
Multimedia Tools and Applications (2022) Vol. 82, Iss. 6, pp. 9083-9111
Open Access | Times Cited: 8
Contrastive Learning for Multimodal Classification of Crisis related Tweets
Bishwas Mandal, Sarthak Khanal, Doina Caragea
Proceedings of the ACM Web Conference 2022 (2024), pp. 4555-4564
Closed Access | Times Cited: 1
Disaster Image Classification Using Capsule Networks
Soudabeh Taghian Dinani, Doina Caragea
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Closed Access | Times Cited: 9
HPRXF Model: An Ensemble Transfer Learning-based Fusion model for handling Pandemic-related Calls received by the Emergency Response Support System
K. Nimmi, B. Janet, A. Kalai selvan, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 15, Iss. 3, pp. 2035-2046
Closed Access | Times Cited: 3
Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models
Soudabeh Taghian Dinani, Doina Caragea
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA) (2023), pp. 1-11
Closed Access | Times Cited: 3
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