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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:

Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma
Muhammed Sit, Caglar Koylu, İbrahim Demir
International Journal of Digital Earth (2019) Vol. 12, Iss. 11, pp. 1205-1229
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning
Zhongrun Xiang, Jun Yan, İbrahim Demir
Water Resources Research (2020) Vol. 56, Iss. 1
Closed Access | Times Cited: 584
A comprehensive review of deep learning applications in hydrology and water resources
Muhammed Sit, Bekir Zahit Demiray, Zhongrun Xiang, et al.
Water Science & Technology (2020) Vol. 82, Iss. 12, pp. 2635-2670
Open Access | Times Cited: 398
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 2, pp. 446-473
Open Access | Times Cited: 140
MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification
Guangyu Mu, Jiaxue Li, Zhanhui Liu, et al.
Biomimetics (2025) Vol. 10, Iss. 1, pp. 41-41
Open Access | Times Cited: 2
Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa
Zhongrun Xiang, İbrahim Demir
Environmental Modelling & Software (2020) Vol. 131, pp. 104761-104761
Open Access | Times Cited: 92
Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges
Fernando Nardi, Christophe Cudennec, Tommaso Abrate, et al.
Hydrological Sciences Journal (2020) Vol. 67, Iss. 16, pp. 2534-2551
Open Access | Times Cited: 83
A big data-driven dynamic estimation model of relief supplies demand in urban flood disaster
Anqi Lin, Hao Wu, Liang Guang-hua, et al.
International Journal of Disaster Risk Reduction (2020) Vol. 49, pp. 101682-101682
Closed Access | Times Cited: 74
An ethical decision-making framework with serious gaming: a smart water case study on flooding
Gregory J. Ewing, İbrahim Demir
Journal of Hydroinformatics (2021) Vol. 23, Iss. 3, pp. 466-482
Open Access | Times Cited: 62
The climate change Twitter dataset
Dimitrios Effrosynidis, Alexandros I. Karasakalidis, Georgios Sylaios, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117541-117541
Closed Access | Times Cited: 60
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT
Bing Zhou, Lei Zou, Ali Mostafavi, et al.
Computers Environment and Urban Systems (2022) Vol. 95, pp. 101824-101824
Open Access | Times Cited: 59
A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura
Sulong Zhou, Pengyu Kan, Qunying Huang, et al.
Journal of Information Science (2021) Vol. 49, Iss. 2, pp. 465-479
Closed Access | Times Cited: 58
Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping
Yongze Song, Margaret Kalácska, Mateo Gašparović, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 120, pp. 103300-103300
Open Access | Times Cited: 40
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: 38
Decentralized Flood Forecasting Using Deep Neural Networks
Muhammed Sit, İbrahim Demir
EarthArXiv (California Digital Library) (2019)
Open Access | Times Cited: 74
Towards an information centric flood ontology for information management and communication
Yusuf Sermet, İbrahim Demir
Earth Science Informatics (2019) Vol. 12, Iss. 4, pp. 541-551
Closed Access | Times Cited: 63
Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets
Moloud Abdar, Mohammad Ehsan Basiri, Junjun Yin, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 124, pp. 109781-109781
Closed Access | Times Cited: 59
A serious gaming framework for decision support on hydrological hazards
Yusuf Sermet, İbrahim Demir, Marian Muste
The Science of The Total Environment (2020) Vol. 728, pp. 138895-138895
Open Access | Times Cited: 55
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
Muhammed Sit, Bekir Zahit Demiray, Zhongrun Xiang, et al.
EarthArXiv (California Digital Library) (2020)
Open Access | Times Cited: 55
Virtual and augmented reality applications for environmental science education and training
Yusuf Sermet, İbrahim Demir
Routledge eBooks (2020), pp. 261-275
Closed Access | Times Cited: 53
Explainable Artificial Intelligence for Developing Smart Cities Solutions
Dhavalkumar Thakker, Bhupesh Kumar Mishra, Amr Abdullatif, et al.
Smart Cities (2020) Vol. 3, Iss. 4, pp. 1353-1382
Open Access | Times Cited: 50
Realistic River Image Synthesis Using Deep Generative Adversarial Networks
Akshat Gautam, Muhammed Sit, İbrahim Demir
Frontiers in Water (2022) Vol. 4
Open Access | Times Cited: 38
DeePOF: A hybrid approach of deep convolutional neural network and friendship to Point‐of‐Interest (POI) recommendation system in location‐based social networks
Sadaf Safavi, Mehrdad Jalali
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 15
Open Access | Times Cited: 30
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: 21
Live Event Detection for People’s Safety Using NLP and Deep Learning
Amrit Sen, Gayathri Rajakumaran, Miroslav Mahdal, et al.
IEEE Access (2024) Vol. 12, pp. 6455-6472
Open Access | Times Cited: 6
Realistic River Image Synthesis using Deep Generative Adversarial Networks
Akshat Gautam, Muhammed Sit, İbrahim Demir
EarthArXiv (California Digital Library) (2020)
Open Access | Times Cited: 44
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