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:

Flood prediction with time series data mining: Systematic review
Dimara Kusuma Hakim, Rahmat Gernowo, Anang Widhi Nirwansyah
Natural Hazards Research (2023) Vol. 4, Iss. 2, pp. 194-220
Open Access | Times Cited: 8

Showing 8 citing articles:

Flood-Resilient Smart Cities: A Data-Driven Risk Assessment Approach Based on Geographical Risks and Emergency Response Infrastructure
João Paulo Just Peixoto, Daniel G. Costa, Paulo Portugal, et al.
Smart Cities (2024) Vol. 7, Iss. 1, pp. 662-679
Open Access | Times Cited: 6

Flood Management Strategies in the Semarang Old Town Site: an Environmental Sustainability Perspective
Bagus Irawan, Syafrudin Syafrudin, Mochamad Arief Budihardjo
Revista de Gestão Social e Ambiental (2025) Vol. 19, Iss. 2, pp. e011181-e011181
Closed Access

Classifying chronic kidney disease using selected machine learning techniques
Abrahem P. Anqui
International Journal of ADVANCED AND APPLIED SCIENCES (2025) Vol. 12, Iss. 2, pp. 72-79
Open Access

An Efficient Flood Forecasting Model Using an Optimal Deep Belief Network
Dinesh Kumar
Global NEST Journal (2024) Vol. 26, Iss. 4, pp. 1-8
Closed Access

Study on long short-term memory based on vector direction of flood process for flood forecasting
Tianning Xie, Caihong Hu, Chengshuai Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Towards Accurate Flood Predictions: A Deep Learning Approach Using Wupper River Data
Yannik Hahn, Philip Kienitz, Mark Wönkhaus, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access

A Review of the Application of Artificial Intelligence in Climate Change-Induced Flooding—Susceptibility and Management Techniques
Adekunle Olorunlowo David, Julius Musyoka Ndambuki, Mpho Muloiwa, et al.
CivilEng (2024) Vol. 5, Iss. 4, pp. 1185-1198
Open Access

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