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:

Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment
Mansi Agarwal, Maitree Leekha, Ramit Sawhney, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 01, pp. 346-353
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions
Muhammad Imran, Ferda Ofli, Doina Caragea, et al.
Information Processing & Management (2020) Vol. 57, Iss. 5, pp. 102261-102261
Closed Access | Times Cited: 148

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

Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification
Liang Tao, Guosheng Lin, Mingyang Wan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 15471-15480
Closed Access | Times Cited: 23

U2DDS‐Net: A New Architecture Based on U2Net With Disaster Type for Building Damage Assessment Under Natural Disasters
Bo Wang, Chengyi Zhao, Li Jun, et al.
The Photogrammetric Record (2025) Vol. 40, Iss. 189
Closed Access

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

Dense Adaptive Grouping Distillation Network for Multimodal Land Cover Classification With Privileged Modality
Xiao Li, Lin Lei, Caiguang Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 14

A Weighted Text Representation framework for Sentiment Analysis of Medical Drug Reviews
Ashima Yadav, Dinesh Kumar Vishwakarma
(2020), pp. 326-332
Closed Access | Times Cited: 22

Sentiment Analysis of Fashion Related Posts in Social Media
Yifei Yuan, Wai Lam
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 1310-1318
Closed Access | Times Cited: 8

Disaster assessment from social media using multimodal deep learning
Nisha P. Shetty, Yash Bijalwan, Pranav Chaudhari, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1

Multimodal Sentiment Analysis of #MeToo Tweets using Focal Loss (Grand Challenge)
Priyam Basu, Soham Tiwari, Joseph Mohanty, et al.
(2020), pp. 461-465
Closed Access | Times Cited: 11

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

Sentiment Classification of Drug Reviews Using Machine Learning Techniques
Mohammad Al-Ameen A. Hameed, Khalid Shaker, Haitham Abbas Khalaf
2021 14th International Conference on Developments in eSystems Engineering (DeSE) (2023), pp. 457-462
Closed Access | Times Cited: 3

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

Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
Gaurav Verma, Vishwa Vinay, Ryan A. Rossi, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 360-374
Open Access | Times Cited: 5

MeToo: Sentiment Analysis using Neural Networks (Grand Challenge)
Mohammed Azhan, Mohammad Ahmad, Mohammed Sajjad Jafri
(2020), pp. 476-480
Closed Access | Times Cited: 5

Deep Residual Neural Networks for Image in Audio Steganography (Workshop Paper)
Shivam Agarwal, Siddarth Venkatraman
(2020), pp. 430-434
Closed Access | Times Cited: 5

A Mutli-Task Mutlimodal Framework for Tweet Classification Based on CNN (Grand Challenge)
Saksham Bansal
(2020), pp. 456-460
Closed Access | Times Cited: 4

Open Domain Suggestion Mining Leveraging Fine-Grained Analysis (Workshop Paper)
Shreya Singal, Tanishq Goel, Shivang Chopra, et al.
(2020), pp. 414-423
Closed Access | Times Cited: 4

Arten-Net: An Emotion Classification System for Art (Student Consortium)
Prakhar Goel, Mihir Goyal, Rajiv Ratn Shah
(2020), pp. 302-306
Closed Access | Times Cited: 4

A novel framework for assessing the criticality of retrieved information
Ashwani Varshney, Yatin Kapoor, Vaishali Chawla, et al.
International Journal of Computing and Digital Systems (2022) Vol. 11, Iss. 1, pp. 1229-1244
Open Access | Times Cited: 3

Image-text multimodal classification via cross-attention contextual transformer with modality-collaborative learning
Qianyao Shi, Wanru Xu, Zhenjiang Miao
Journal of Electronic Imaging (2024) Vol. 33, Iss. 04
Closed Access

Robust Training of Social Media Image Classification Models for Rapid Disaster Response
Firoj Alam, Tanvirul Alam, Muhammad Imran, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 4

Role of Social Media Imagery in Disaster Informatics
Firoj Alam, Kashif Ahmad, Md. Arid Hasan, et al.
International Handbook of Disaster Research (2023), pp. 1-21
Closed Access | Times Cited: 1

Recent Developments in Generative Adversarial Networks: A Review (Workshop Paper)
Ankit Yadav, Dinesh Kumar Vishwakarma
(2020), pp. 404-413
Closed Access | Times Cited: 2

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