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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:

Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning
Huan Ning, Zhenlong Li, Michael E. Hodgson, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 2, pp. 104-104
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Autonomous GIS: the next-generation AI-powered GIS
Zhenlong Li, Huan Ning
International Journal of Digital Earth (2023) Vol. 16, Iss. 2, pp. 4668-4686
Open Access | Times Cited: 51
Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Siqin Wang, Xiao Huang, Pengyuan Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103734-103734
Open Access | Times Cited: 34
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey
Yu Feng, Claus Brenner, Monika Sester
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 301-319
Open Access | Times Cited: 84
Leveraging multimodal social media data for rapid disaster damage assessment
Haiyan Hao, Yan Wang
International Journal of Disaster Risk Reduction (2020) Vol. 51, pp. 101760-101760
Closed Access | Times Cited: 79
Application of image processing and convolutional neural networks for flood image classification and semantic segmentation
R. Pally, S. Samadi
Environmental Modelling & Software (2021) Vol. 148, pp. 105285-105285
Open Access | Times Cited: 73
How computer vision can facilitate flood management: A systematic review
Umair Iqbal, Pascal Perez, Wanqing Li, et al.
International Journal of Disaster Risk Reduction (2021) Vol. 53, pp. 102030-102030
Closed Access | Times Cited: 68
Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea, Egypt
Ahmed M. Youssef, Biswajeet Pradhan, Abhirup Dikshit, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 11088-11115
Closed Access | Times Cited: 50
MEDIC: a multi-task learning dataset for disaster image classification
Firoj Alam, Tanvirul Alam, Md. Arid Hasan, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2609-2632
Open Access | Times Cited: 47
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
Real-time social media sentiment analysis for rapid impact assessment of floods
Lydia Bryan-Smith, Jake Godsall, Franky George, et al.
Computers & Geosciences (2023) Vol. 178, pp. 105405-105405
Open Access | Times Cited: 25
Extracting disaster location identification from social media images using deep learning
Manikandan Sathianarayanan, Pai‐Hui Hsu, Chy-Chang Chang
International Journal of Disaster Risk Reduction (2024) Vol. 104, pp. 104352-104352
Closed Access | Times Cited: 13
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
Enhanced Flood Detection Through Precise Water Segmentation Using Advanced Deep Learning Models
Behrokh Bahrami, Homayoun Arbabkhah
Journal of Civil Engineering Researchers (2024) Vol. 6, Iss. 1, pp. 1-8
Open Access | Times Cited: 6
Classification and detection of natural disasters using machine learning and deep learning techniques: A review
Kibitok Abraham, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Earth Science Informatics (2023) Vol. 17, Iss. 2, pp. 869-891
Closed Access | Times Cited: 15
A Novel Deep Learning Based Model for Tropical Intensity Estimation and Post-Disaster Management of Hurricanes
Jayanthi Devaraj, Sumathi Ganesan, Rajvikram Madurai Elavarasan, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4129-4129
Open Access | Times Cited: 29
V-FloodNet: A video segmentation system for urban flood detection and quantification
Yongqing Liang, Xin Li, Brian Tsai, et al.
Environmental Modelling & Software (2022) Vol. 160, pp. 105586-105586
Open Access | Times Cited: 21
A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Mark Text Classification
Robert Szczepanek
Water (2023) Vol. 15, Iss. 6, pp. 1197-1197
Open Access | Times Cited: 11
Automated floodwater depth estimation using large multimodal model for rapid flood mapping
Temitope Akinboyewa, Huan Ning, M. Naser Lessani, et al.
Computational Urban Science (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 4
A deep learning technique based flood propagation experiment
Jingming Hou, Xuan Li, Ganggang Bai, et al.
Journal of Flood Risk Management (2021) Vol. 14, Iss. 3
Closed Access | Times Cited: 26
Flood Water Depth Prediction with Convolutional Temporal Attention Networks
Priyanka Chaudhary, João P. Leitão, Konrad Schindler, et al.
Water (2024) Vol. 16, Iss. 9, pp. 1286-1286
Open Access | Times Cited: 3
Identification of flood depth levels in urban waterlogging disaster caused by rainstorm using a CBAM-improved ResNet50
Luyuan Wu, Yunxiu Liu, Jianwei Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124382-124382
Closed Access | Times Cited: 3
Temporary flood marks proposal: What we learned after losing the baroque artifact from Cracow, Poland
Robert Szczepanek, Cezary Toś, Marek Bodziony
International Journal of Disaster Risk Reduction (2022) Vol. 74, pp. 102942-102942
Closed Access | Times Cited: 9
Deep Sensing of Urban Waterlogging
Shi-Wei Lo, Jyh-Horng Wu, Jo-Yu Chang, et al.
IEEE Access (2021) Vol. 9, pp. 127185-127203
Open Access | Times Cited: 11
WaRENet: A Novel Urban Waterlogging Risk Evaluation Network
Xiaoya Yu, Kejun Wu, You Yang, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024) Vol. 20, Iss. 7, pp. 1-28
Closed Access | Times Cited: 1
Combining multisensor images and social network data to assess the area flooded by a hurricane event
Rafael Hernández‐Guzmán, Arturo Ruíz-Luna
PeerJ (2024) Vol. 12, pp. e17319-e17319
Open Access | Times Cited: 1
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