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:

Detecting Natural Disasters, Damage, and Incidents in the Wild
Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, et al.
Lecture notes in computer science (2020), pp. 331-350
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, et al.
IEEE Access (2021) Vol. 9, pp. 89644-89654
Open Access | Times Cited: 177

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

Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges
Yu Feng, Xiao Huang, Monika Sester
International Journal of Geographical Information Science (2022) Vol. 36, Iss. 7, pp. 1275-1316
Closed Access | Times Cited: 37

RescueNet: A High Resolution UAV Semantic Segmentation Dataset for Natural Disaster Damage Assessment
Maryam Rahnemoonfar, Tashnim Chowdhury, Robin A. Murphy
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 21

Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment
Tashnim Chowdhury, Maryam Rahnemoonfar, Robin R. Murphy, et al.
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 3904-3913
Open Access | Times Cited: 43

Incidents1M: a Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents
Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-14
Open Access | Times Cited: 24

Machine Learning for Emergency Management: A Survey and Future Outlook
Christos Kyrkou, Panayiotis Kolios, Theocharis Theocharides, et al.
Proceedings of the IEEE (2022) Vol. 111, Iss. 1, pp. 19-41
Closed Access | Times Cited: 22

A study on AI Ml based data segregation & feature extraction methods of multimodal data during flood disaster
S. Sheeba Rachel, Santhoshkumar Srinivasan
AIP conference proceedings (2025) Vol. 3162, pp. 020018-020018
Closed Access

Transfer Learning Approach For Recognizing Natural Disasters Video
Vijaykumar B Gadhavi, Sheshang Degadwala, Dhairya Vyas
2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS) (2022), pp. 793-798
Closed Access | Times Cited: 19

Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine Interaction
António Correia, Andrea Grover, Daniel Schneider, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2198-2198
Open Access | Times Cited: 11

Supporting Humanitarian Crisis Decision Making with Reliable Intelligence Derived from Social Media Using AI
Christopher Garcia, Ghaith Rabadi, Dia Abujaber, et al.
Journal of Homeland Security and Emergency Management (2023) Vol. 20, Iss. 2, pp. 97-131
Closed Access | Times Cited: 11

Greening the Artificial Intelligence for a Sustainable Planet: An Editorial Commentary
Tan Yiğitcanlar
Sustainability (2021) Vol. 13, Iss. 24, pp. 13508-13508
Open Access | Times Cited: 26

Application of Social Sensors in Natural Disasters Emergency Management: A Review
Kaize Shi, Xueping Peng, Hao Lü, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 6, pp. 3143-3158
Closed Access | Times Cited: 18

RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment
Maryam Rahnemoonfar, Tashnim Chowdhury, Robin A. Murphy
arXiv (Cornell University) (2022)
Open Access | Times Cited: 16

Landslide detection in real-time social media image streams
Ferda Ofli, Muhammad Imran, Umair Qazi, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 24, pp. 17809-17819
Open Access | Times Cited: 7

A Real-Time System for Detecting Landslide Reports on Social Media Using Artificial Intelligence
Ferda Ofli, Umair Qazi, Muhammad Imran, et al.
Lecture notes in computer science (2022), pp. 49-65
Open Access | Times Cited: 9

WaRENet: A Novel Urban Waterlogging Risk Evaluation Network
Xiaoya Yu, Kejun Wu, You Yang, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 7, pp. 1-28
Closed Access | Times Cited: 1

Continual Learning for Smart City: A Survey
Li Yi Yang, Zhipeng Luo, Shiming Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7805-7824
Open 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

Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events
Kian Eng Ong, Xun Long Ng, Yanchao Li, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
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

Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen, Sijie Zhu, Taojiannan Yang, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 6

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