
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:
Multi-modal classification of Twitter data during disasters for humanitarian response
Sreenivasulu Madichetty, Sridevi Muthukumarasamy, Puneeth Guddhur Jayadev
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 11, pp. 10223-10237
Closed Access | Times Cited: 43
Sreenivasulu Madichetty, Sridevi Muthukumarasamy, Puneeth Guddhur Jayadev
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 12, Iss. 11, pp. 10223-10237
Closed Access | Times Cited: 43
Showing 1-25 of 43 citing articles:
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
Sree Jagadeesh Malla, Alphonse P.J.A.
Applied Soft Computing (2021) Vol. 107, pp. 107495-107495
Open Access | Times Cited: 77
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
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
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
Rani Koshy, E. Sivasankar
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1607-1627
Closed Access | Times Cited: 35
Drowning in the Information Flood: Machine-Learning-Based Relevance Classification of Flood-Related Tweets for Disaster Management
Eike Blomeier, Sebastian Schmidt, Bernd Resch
Information (2024) Vol. 15, Iss. 3, pp. 149-149
Open Access | Times Cited: 6
Eike Blomeier, Sebastian Schmidt, Bernd Resch
Information (2024) Vol. 15, Iss. 3, pp. 149-149
Open Access | Times Cited: 6
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
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
Jing Wang, Shuo Yang, Hui Zhao, et al.
Neurocomputing (2025), pp. 129271-129271
Closed Access
Examining hurricane–related social media topics longitudinally and at scale: A transformer-based approach
Dhiraj Murthy, Sophia Elisavet Kurz, Tanvi Anand, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316852-e0316852
Open Access
Dhiraj Murthy, Sophia Elisavet Kurz, Tanvi Anand, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316852-e0316852
Open Access
Enhancing satellite-based emergency mapping: Identifying wildfires through geo-social media analysis
Sebastian Schmidt, Monika Friedemann, David Hanny, et al.
Big Earth Data (2025), pp. 1-23
Open Access
Sebastian Schmidt, Monika Friedemann, David Hanny, et al.
Big Earth Data (2025), pp. 1-23
Open Access
Enhanced Sentiment Analysis and Topic Modeling during the Pandemic using Automated Latent Dirichlet Allocation
Amreen Batool, Yung-Cheol Byun
IEEE Access (2024) Vol. 12, pp. 81206-81220
Open Access | Times Cited: 3
Amreen Batool, Yung-Cheol Byun
IEEE Access (2024) Vol. 12, pp. 81206-81220
Open Access | Times Cited: 3
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
Nilani Algiriyage, Raj Prasanna, Kristin Stock, et al.
SN Computer Science (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 23
Disaster related social media content processing for sustainable cities
Pradeep Kumar Roy, Abhinav Kumar, Jyoti Prakash Singh, et al.
Sustainable Cities and Society (2021) Vol. 75, pp. 103363-103363
Open Access | Times Cited: 22
Pradeep Kumar Roy, Abhinav Kumar, Jyoti Prakash Singh, et al.
Sustainable Cities and Society (2021) Vol. 75, pp. 103363-103363
Open Access | Times Cited: 22
Depression Classification From Tweets Using Small Deep Transfer Learning Language Models
Muhammad Rizwan, Muhammad Faheem Mushtaq, Urooj Akram, et al.
IEEE Access (2022) Vol. 10, pp. 129176-129189
Open Access | Times Cited: 15
Muhammad Rizwan, Muhammad Faheem Mushtaq, Urooj Akram, et al.
IEEE Access (2022) Vol. 10, pp. 129176-129189
Open Access | Times Cited: 15
Emergent Use of Artificial Intelligence and Social Media for Disaster Management
Saima Saleem, Monica Mehrotra
Lecture notes in networks and systems (2021), pp. 195-210
Closed Access | Times Cited: 14
Saima Saleem, Monica Mehrotra
Lecture notes in networks and systems (2021), pp. 195-210
Closed Access | Times Cited: 14
Hierarchical multiples self-attention mechanism for multi-modal analysis
Jun Wu, Tianliang Zhu, Jiahui Zhu, et al.
Multimedia Systems (2023) Vol. 29, Iss. 6, pp. 3599-3608
Closed Access | Times Cited: 5
Jun Wu, Tianliang Zhu, Jiahui Zhu, et al.
Multimedia Systems (2023) Vol. 29, Iss. 6, pp. 3599-3608
Closed Access | Times Cited: 5
Effective Disaster Management Through Transformer-Based Multimodal Tweet Classification
G. JayaLakshmi, Abburi Madhuri, Deepak Kala Vasudevan, et al.
Revue d intelligence artificielle (2023) Vol. 37, Iss. 5, pp. 1263-1272
Open Access | Times Cited: 5
G. JayaLakshmi, Abburi Madhuri, Deepak Kala Vasudevan, et al.
Revue d intelligence artificielle (2023) Vol. 37, Iss. 5, pp. 1263-1272
Open Access | Times Cited: 5
Classifying informative tweets using feature enhanced pre-trained language model
Prakash Babu Yandrapati, R. Eswari
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 1
Prakash Babu Yandrapati, R. Eswari
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 1
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
Bishwas Mandal, Sarthak Khanal, Doina Caragea
Proceedings of the ACM Web Conference 2022 (2024), pp. 4555-4564
Closed Access | Times Cited: 1
Enhancing Public Safety During Natural Disasters Using Multimodal Deep Learning Based Analysis of Crowd-Sourced Tweets
M. Sangeetha, M Keerthana, Sakthi Abirami B, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
M. Sangeetha, M Keerthana, Sakthi Abirami B, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
Pre-gating and contextual attention gate — A new fusion method for multi-modal data tasks
Duoyi Zhang, Richi Nayak, Md Abul Bashar
Neural Networks (2024) Vol. 179, pp. 106553-106553
Open Access | Times Cited: 1
Duoyi Zhang, Richi Nayak, Md Abul Bashar
Neural Networks (2024) Vol. 179, pp. 106553-106553
Open Access | Times Cited: 1
Improving detection accuracy of politically motivated cyber-hate using heterogeneous stacked ensemble (HSE) approach
Nanlir Sallau Mullah, Wan Mohd Nazmee Wan Zainon
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 12179-12190
Closed Access | Times Cited: 7
Nanlir Sallau Mullah, Wan Mohd Nazmee Wan Zainon
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 12179-12190
Closed Access | Times Cited: 7
A Comprehensive Analysis of Transformer-Deep Neural Network Models in Twitter Disaster Detection
Vimala Balakrishnan, Zhongliang Shi, Chuan Liang Law, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4664-4664
Open Access | Times Cited: 7
Vimala Balakrishnan, Zhongliang Shi, Chuan Liang Law, et al.
Mathematics (2022) Vol. 10, Iss. 24, pp. 4664-4664
Open Access | Times Cited: 7
Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification
Duoyi Zhang, Richi Nayak, Md Abul Bashar
Communications in computer and information science (2021), pp. 102-117
Closed Access | Times Cited: 9
Duoyi Zhang, Richi Nayak, Md Abul Bashar
Communications in computer and information science (2021), pp. 102-117
Closed Access | Times Cited: 9
TRIESTE: translation based defense for text classifiers
Anup Kumar Gupta, Vardhan Paliwal, Aryan Rastogi, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 12, pp. 16385-16396
Closed Access | Times Cited: 6
Anup Kumar Gupta, Vardhan Paliwal, Aryan Rastogi, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 12, pp. 16385-16396
Closed Access | Times Cited: 6
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
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
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