OpenAlex Citation Counts

OpenAlex Citations Logo

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 Country Wide Evaluation of Sweden's Spatial Flood Modeling With Optimized Convolutional Neural Network Algorithms
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Earth s Future (2023) Vol. 11, Iss. 11
Open Access | Times Cited: 8

Showing 8 citing articles:

A novel framework for urban flood risk assessment: Multiple perspectives and causal analysis
Yongheng Wang, Qingtao Zhang, Kairong Lin, et al.
Water Research (2024) Vol. 256, pp. 121591-121591
Closed Access | Times Cited: 15

A novel strategy for flood flow Prediction: Integrating Spatio-Temporal information through a Two-Dimensional hidden layer structure
Yi-yang Wang, Wenchuan Wang, Dongmei Xu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131482-131482
Closed Access | Times Cited: 6

Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access

Spatiotemporal dynamics of social vulnerability to natural hazards: Trends and projections from 2002 to 2030 in northwestern Iran
Abolfazl Jaafari, Davood Mafi-Gholami, Bahram Choubin
Sustainable Cities and Society (2025), pp. 106172-106172
Closed Access

Urban construction promotes geological disasters: evidence from prediction of future urban road collapse scenario in Hangzhou, China
Bofan Yu, Jiaxing Yan, Yuan Li, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2025), pp. 1-21
Closed Access

Contrast or Diversity: Non-Flood sampling in urban flood susceptibility modelling
Huabing Huang, Zhiwen Tao, Jiayin Zhan, et al.
Journal of Hydrology (2025), pp. 133053-133053
Closed Access

An integrated strategy for evaluating flood susceptibility combining deep neural networks with biologically inspired meta-heuristic algorithms
Jiangwei Hao, Hongyan Li, Chong Zhang, et al.
International Journal of Disaster Risk Reduction (2024), pp. 105003-105003
Closed Access | Times Cited: 1

Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas
Mohd Rihan, Javed Mallick, Intejar Ansari, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access

Page 1

Scroll to top