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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:

Artificial neural network approaches for disaster management: A literature review
Sreeparna Guha, Rabin K. Jana, Manas Kumar Sanyal
International Journal of Disaster Risk Reduction (2022) Vol. 81, pp. 103276-103276
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Explainable artificial intelligence in disaster risk management: Achievements and prospective futures
Saman Ghaffarian, Firouzeh Taghikhah, Holger R. Maier
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104123-104123
Open Access | Times Cited: 46
Reviewing the role of AI in environmental monitoring and conservation: A data-driven revolution for our planet
Onyebuchi Nneamaka Chisom, Preye Winston Biu, Aniekan Akpan Umoh, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 1, pp. 161-171
Open Access | Times Cited: 35
A systematic review of trustworthy artificial intelligence applications in natural disasters
A. S. Albahri, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109409-109409
Open Access | Times Cited: 33
Landslide identification using machine learning techniques: Review, motivation, and future prospects
S. Sreelakshmi, S. S. Vinod Chandra, E. Shaji
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2063-2090
Closed Access | Times Cited: 39
Predicting mechanical behaviors of rubber materials with artificial neural networks
Zengrui Yuan, Mu‐Qing Niu, Hongtu Ma, et al.
International Journal of Mechanical Sciences (2023) Vol. 249, pp. 108265-108265
Closed Access | Times Cited: 32
On the emergence of geospatial cloud-based platforms for disaster risk management: A global scientometric review of google earth engine applications
Mirza Waleed, Muhammad Sajjad
International Journal of Disaster Risk Reduction (2023) Vol. 97, pp. 104056-104056
Closed Access | Times Cited: 22
Machine learning based technique for outlier detection and result prediction in combustion diagnostics
Mingfei Chen, Kaile Zhou, Dong Liu
Energy (2024) Vol. 290, pp. 130218-130218
Closed Access | Times Cited: 7
Multi-source driven estimation of earthquake economic losses: A comprehensive and interpretable ensemble machine learning model
Jinpeng Zhao, Xiaojun Li, Su Chen, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 106, pp. 104377-104377
Closed Access | Times Cited: 5
Unmanned Aerial Vehicle (UAV) Based Disaster Detection and Crowd Sensing Using Deep Learning Models
Pushpak Shukla, Shailendra Shukla
(2025), pp. 414-419
Closed Access
Blockchain of things for smart disaster management
Puja Das, Moutushi Singh, Deepsubhra Guha Roy, et al.
Elsevier eBooks (2025), pp. 51-68
Closed Access
Automated Disaster Monitoring Through Social Media Posts Using Whale Optimization and ANN
R. Chennappan, A Vinitha, S. Vinitha, et al.
Advances in computational intelligence and robotics book series (2025), pp. 277-300
Closed Access
A Text Mining Analytic Approach for Distinguishing Between Disaster and Non-Disaster Zones from Tweets
Steven Walczak, Ly Dinh
International Journal of Disaster Risk Reduction (2025), pp. 105233-105233
Closed Access
Artificial Intelligence in Disaster Management
Silvio Andrae
Advances in environmental engineering and green technologies book series (2025), pp. 73-114
Closed Access
An Overview of AI Applications in Wildlife Conservation
Binod Kumar, Oindrilla Ghosh
Advances in environmental engineering and green technologies book series (2025), pp. 19-48
Closed Access
Artificial Intelligence for Predicting Climate and Natural Disasters in Peru
Ciro Rodríguez, Omart Tello-Malpartida, Pedro Infantes-Rivera, et al.
Lecture notes in networks and systems (2025), pp. 203-213
Closed Access
Integration of Finite Element Method and Neural Network for Enhanced Prediction of Rubber Buffer Stiffness in Light Aircraft
Zhenyu Huang, Xuhai Xiong, Shuang Zheng, et al.
Aerospace (2025) Vol. 12, Iss. 3, pp. 253-253
Open Access
Integrated dynamic framework for predicting urban flooding and providing early warning
Yihong Zhou, Zening Wu, Hongshi Xu, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129205-129205
Closed Access | Times Cited: 15
Adaptive selection and optimal combination scheme of candidate models for real-time integrated prediction of urban flood
Yihong Zhou, Zening Wu, Hongshi Xu, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130152-130152
Closed Access | Times Cited: 13
A decision-making tool for the determination of the distribution center location in a humanitarian logistics network
Xenofon Taouktsis, Christos Zikopoulos
Expert Systems with Applications (2023) Vol. 238, pp. 122010-122010
Closed Access | Times Cited: 12
Leveraging machine learning algorithms for improved disaster preparedness and response through accurate weather pattern and natural disaster prediction
Harshita Jain, Renu Dhupper, Anamika Shrivastava, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 11
Integrated risk assessment of landslide in karst terrains: Advancing landslides management in Beiliu City, China
Ming Chang, Xiangyang Dou, Xisong Zhu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104046-104046
Open Access | Times Cited: 3
A Novel Approach for Model Interpretability and Domain Aware Fine-Tuning in AdaBoost
Raj Joseph Kiran, Sanil Jayamohan, S. Asharaf
Human-Centric Intelligent Systems (2024)
Open Access | Times Cited: 3
Neural networks-based hybrid beneficial variable selection and modeling for soft sensing
Zhongyi Zhang, Qingchao Jiang, Guan Wang, et al.
Control Engineering Practice (2023) Vol. 139, pp. 105613-105613
Closed Access | Times Cited: 9
A model for minimum ignition energy prediction of sugar dust clouds based on interactive orthogonal experiments and machine learning
Yuankun Zhong, Xiaoquan Li, Zhiwen Yang, et al.
Fire Safety Journal (2024) Vol. 144, pp. 104111-104111
Closed Access | Times Cited: 2
A landslide susceptibility assessment method based on auto-encoder improved deep belief network
Lifeng Zhang, Hongyu Pu, Haowen Yan, et al.
Open Geosciences (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 7
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