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:

A systematic review of natural language processing applications for hydrometeorological hazards assessment
Achraf Tounsi, Marouane Temimi
Natural Hazards (2023) Vol. 116, Iss. 3, pp. 2819-2870
Open Access | Times Cited: 20

Showing 20 citing articles:

AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change
Harshita Jain, Renu Dhupper, Anamika Shrivastava, et al.
Computational Urban Science (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 42

Artificial Intelligence Algorithms in Flood Prediction: A General Overview
Manish Pandey
Springer eBooks (2024), pp. 243-296
Closed Access | Times Cited: 5

SeqIA: A Python framework for extracting drought impacts from news archives
Miguel López-Otal, Fernando Domínguez‐Castro, Borja Latorre, et al.
Environmental Modelling & Software (2025), pp. 106382-106382
Closed Access

Forecasting drought using machine learning: a systematic literature review
Ricardo S. Oyarzabal, Leonardo Bacelar Lima Santos, Christopher Cunningham, et al.
Natural Hazards (2025)
Closed Access

Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering
Rafael Muñoz‐Carpena, Álvaro Carmona-Cabrero, Ziwen Yu, et al.
PLOS Water (2023) Vol. 2, Iss. 8, pp. e0000059-e0000059
Open Access | Times Cited: 13

Assessing the simulation of streamflow with the LSTM model across the continental United States using the MOPEX dataset
Achraf Tounsi, Mohamed Abdelkader, Marouane Temimi
Neural Computing and Applications (2023) Vol. 35, Iss. 30, pp. 22469-22486
Closed Access | Times Cited: 10

Implementing a routine and standard approach for the automatic collection of socio-economic impact observations for impact-based forecasting and warning
Faye Wyatt, Joanne Robbins, S. V. Eaton
International Journal of Disaster Risk Reduction (2024) Vol. 110, pp. 104608-104608
Open Access | Times Cited: 3

Simulating block-scale flood inundation and streamflow using the WRF-Hydro model in the New York City metropolitan area
Berina Mina Kilicarslan, Marouane Temimi
Natural Hazards (2024) Vol. 120, Iss. 11, pp. 10043-10066
Open Access | Times Cited: 2

Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor detection
Angelo J. Soto-Vergel, Juan C. Vélez, René Amaya–Mier, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104094-104094
Closed Access | Times Cited: 7

Scalable approach to create annotated disaster image database supporting AI-driven damage assessment
Sun Ho Ro, Jie Gong
Natural Hazards (2024) Vol. 120, Iss. 13, pp. 11693-11712
Open Access | Times Cited: 2

An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets
Guangyu Mu, Jiaxue Li, Xiurong Li, et al.
Biomimetics (2024) Vol. 9, Iss. 9, pp. 533-533
Open Access | Times Cited: 2

Enhanced Earthquake Impact Analysis based on Social Media Texts via Large Language Model
Jin Han, Zhe Zheng, Xinzheng Lu, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 109, pp. 104574-104574
Open Access | Times Cited: 1

Can deepfakes be used to study emotion perception? A comparison of dynamic face stimuli
Casey Becker, Russell Conduit, Philippe A. Chouinard, et al.
Behavior Research Methods (2024) Vol. 56, Iss. 7, pp. 7674-7690
Open Access | Times Cited: 1

Application of artificial intelligence hybrid models in safety assessment of submarine pipelines: Principles and methods
Shenwen Zhang, Anmin Zhang, Pengxv Chen, et al.
Ocean Engineering (2024) Vol. 312, pp. 119203-119203
Closed Access | Times Cited: 1

Prediction of Convective Available Potential Energy and Equivalent Potential Temperature using a Coupled WRF and Deep Learning for Typhoon Identification
Mamad Tamamadin, Changkye Lee, Seong‐Hoon Kee, et al.
IOP Conference Series Earth and Environmental Science (2023) Vol. 1245, Iss. 1, pp. 012034-012034
Open Access | Times Cited: 3

EEG correlates of static and dynamic face perception: the role of naturalistic motion
Casey Becker, Russell Conduit, Philippe A. Chouinard, et al.
Neuropsychologia (2024) Vol. 205, pp. 108986-108986
Closed Access

Systematic Literature Review on Knowledge Graphs in Construction Management from a Multi-Modal Perspective
Jingqi Zhang, Shaohua Jiang
International Journal of Human-Computer Interaction (2024), pp. 1-20
Closed Access

Shallow Learning Versus Deep Learning in Natural Language Processing Applications
Lina Sawalha, Tahir Çetin Akıncı
(2024), pp. 179-206
Closed Access

Framing resilience: post-disaster communication in Aotearoa-New Zealand
Franca Buelow, Ann Brower, Nicholas A. Cradock-Henry
International Journal of Disaster Risk Reduction (2024), pp. 105167-105167
Closed Access

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