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:
Toward Improved Real‐Time Rainfall Intensity Estimation Using Video Surveillance Cameras
Feifei Zheng, Hang Yin, Yiyi Ma, et al.
Water Resources Research (2023) Vol. 59, Iss. 8
Open Access | Times Cited: 10
Feifei Zheng, Hang Yin, Yiyi Ma, et al.
Water Resources Research (2023) Vol. 59, Iss. 8
Open Access | Times Cited: 10
Showing 10 citing articles:
Rainfall nowcasting models: state of the art and possible future perspectives
Davide Luciano De Luca, Francesco Napolitano, Dongkyun Kim, et al.
Hydrological Sciences Journal (2025)
Closed Access
Davide Luciano De Luca, Francesco Napolitano, Dongkyun Kim, et al.
Hydrological Sciences Journal (2025)
Closed Access
Spatially moving non-uniform rainstorms may exacerbate urban flooding disasters
Di Meng, Yaoxing Liao, Zifeng Deng, et al.
Journal of Hydrology (2025), pp. 133374-133374
Closed Access
Di Meng, Yaoxing Liao, Zifeng Deng, et al.
Journal of Hydrology (2025), pp. 133374-133374
Closed Access
Real-time Rainfall Estimation Using Deep Learning: Influence of Background and Rainfall Intensity
Xiaodong Qin, Qian Zhu, Junran Shen, et al.
Environmental Modelling & Software (2025), pp. 106496-106496
Closed Access
Xiaodong Qin, Qian Zhu, Junran Shen, et al.
Environmental Modelling & Software (2025), pp. 106496-106496
Closed Access
Toward Accurate and Scalable Rainfall Estimation Using Surveillance Camera Data and a Hybrid Deep-Learning Framework
F Manuel, Soon‐Thiam Khu, Jingyu Guan, et al.
Environmental Science and Ecotechnology (2025) Vol. 25, pp. 100562-100562
Open Access
F Manuel, Soon‐Thiam Khu, Jingyu Guan, et al.
Environmental Science and Ecotechnology (2025) Vol. 25, pp. 100562-100562
Open Access
A Bayesian deep learning approach for video-based estimation and uncertainty quantification of urban rainfall intensity
Feifei Zheng, Yin Hang, Jiangjiang Zhang, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131706-131706
Closed Access | Times Cited: 3
Feifei Zheng, Yin Hang, Jiangjiang Zhang, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131706-131706
Closed Access | Times Cited: 3
Estimating rainfall intensity based on surveillance audio and deep-learning
Meizhen Wang, Mingzheng Chen, Ziran Wang, et al.
Environmental Science and Ecotechnology (2024) Vol. 22, pp. 100450-100450
Open Access | Times Cited: 2
Meizhen Wang, Mingzheng Chen, Ziran Wang, et al.
Environmental Science and Ecotechnology (2024) Vol. 22, pp. 100450-100450
Open Access | Times Cited: 2
Classification of Rainfall Intensity and Cloud Type from Dash Cam Images Using Feature Removal by Masking
Kodai Suemitsu, Satoshi Endo, Shunsuke Sato
Climate (2024) Vol. 12, Iss. 5, pp. 70-70
Open Access | Times Cited: 1
Kodai Suemitsu, Satoshi Endo, Shunsuke Sato
Climate (2024) Vol. 12, Iss. 5, pp. 70-70
Open Access | Times Cited: 1
Computer Vision-Based Method for Rainfall Estimation Using Cctv Cameras and Smartphone Videos
Manuel Fiallos-Salguero, Soon‐Thiam Khu, Jingyu Guan, et al.
(2024)
Closed Access
Manuel Fiallos-Salguero, Soon‐Thiam Khu, Jingyu Guan, et al.
(2024)
Closed Access
Degradation of Commercially Available Digital Camera Images Due to Variation of Rainfall Intensity in Outdoor Conditions
Akito Kanazawa, Taro Uchida
(2024)
Closed Access
Akito Kanazawa, Taro Uchida
(2024)
Closed Access
