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:

MEDIC: a multi-task learning dataset for disaster image classification
Firoj Alam, Tanvirul Alam, Md. Arid Hasan, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2609-2632
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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

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

Flood scenarios vehicle detection algorithm based on improved YOLOv9
Jiwu Sun, Cheng Xu, Cheng Zhang, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access

MultiFire20K: A semi-supervised enhanced large-scale UAV-based benchmark for advancing multi-task learning in fire monitoring
Demetris Shianios, Panayiotis Kolios, Christos Kyrkou
Computer Vision and Image Understanding (2025), pp. 104318-104318
Closed Access

An enhanced discovery of multiple natural disasters using machine learning model
J. T. Thirukrishna
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access

Classification and detection of natural disasters using machine learning and deep learning techniques: A review
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Earth Science Informatics (2023) Vol. 17, Iss. 2, pp. 869-891
Closed Access | Times Cited: 12

Natural disasters detection using explainable deep learning
Ahmad Mustafa, Rand Agha, Lujain Ghazalat, et al.
Intelligent Systems with Applications (2024) Vol. 23, pp. 200430-200430
Open Access | Times Cited: 4

Optimizing fake news detection for Arabic context: A multitask learning approach with transformers and an enhanced Nutcracker Optimization Algorithm
Abdelghani Dahou, Ahmed A. Ewees, Fatma A. Hashim, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111023-111023
Closed Access | Times Cited: 10

Human Remains Detection in Natural Disasters using YOLO: A Deep Learning Approach
Jyotsna Rani Thota, Anuradha Padala
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 17678-17682
Open Access | Times Cited: 2

A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies
S. Dar, Mohammad Zia Ur Rehman, Karan Bais, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125337-125337
Open Access | Times Cited: 2

MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, et al.
(2024), pp. 1-6
Open Access | Times Cited: 2

An Analytical Framework for Analyzing Tweets for Disaster Management: Case Study of Turkey Earthquake 2023
Saima Saleem, Monica Mehrotra
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 6

Natural Disaster Twitter Data Classification Using CNN and Logistic Regression
S. V. Parasher, Prahlada Varada Mittal, Sejal Karki, et al.
Lecture notes in networks and systems (2024), pp. 681-692
Closed Access | Times Cited: 1

DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition
Demetris Shianios, Panayiotis Kolios, Christos Kyrkou
SN Computer Science (2024) Vol. 5, Iss. 6
Open Access | Times Cited: 1

Multimodal Social Sensing for the Spatio-Temporal Evolution and Assessment of Nature Disasters
Yu Chen, Zhiguo Wang
Sensors (2024) Vol. 24, Iss. 18, pp. 5889-5889
Open Access | Times Cited: 1

Credibility assessment of social media images shared during disasters
Saima Saleem, Akash Shah, Monica Mehrotra
International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 113
Open Access | Times Cited: 1

RETRACTED: A multimodal transfer learning framework for the classification of disaster-related social media images
Saima Saleem, Anuradha Khattar, Monica Mehrotra
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-18
Closed Access | Times Cited: 1

Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems
Cem Kozcuer, Anne Mollen, Felix Bießmann
Minds and Machines (2024) Vol. 34, Iss. 2
Open Access | Times Cited: 1

Towards Opportunistic Federated Learning Using Independent Subnetwork Training
V. H. Romero, Tomokazu Matsui, Yuki Matsuda, et al.
(2024), pp. 174-181
Closed Access | Times Cited: 1

Towards fine-grained object-level damage assessment during disasters
Rizwan Sadiq, Zainab Akhtar, Steve Peterson, et al.
Frontiers in Earth Science (2023) Vol. 11
Open 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

Detecting the Role of an Entity in Harmful Memes: Techniques and their Limitations
Rabindra Nath Nandi, Firoj Alam, Preslav Nakov
(2022), pp. 43-54
Open Access | Times Cited: 5

Robust Training of Social Media Image Classification Models
Firoj Alam, Tanvirul Alam, Ferda Ofli, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 11, Iss. 1, pp. 546-565
Open Access | Times Cited: 5

Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data
Soroor Shekarizadeh, Razieh Rastgoo, Saif Al‐Kuwari, et al.
2022 26th International Conference on Pattern Recognition (ICPR) (2022), pp. 2814-2821
Open Access | Times Cited: 4

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