
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 Natural Language Processing Approach to Understanding Context in the Extraction and GeoCoding of Historical Floods, Storms, and Adaptation Measures
Kelvin Lai, Jeremy R. Porter, Mike Amodeo, et al.
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102735-102735
Closed Access | Times Cited: 32
Kelvin Lai, Jeremy R. Porter, Mike Amodeo, et al.
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102735-102735
Closed Access | Times Cited: 32
Showing 1-25 of 32 citing articles:
Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image
Yan Zhang, Pengyuan Liu, Filip Biljecki
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 153-168
Closed Access | Times Cited: 44
Yan Zhang, Pengyuan Liu, Filip Biljecki
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 153-168
Closed Access | Times Cited: 44
Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105077-105077
Closed Access | Times Cited: 34
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105077-105077
Closed Access | Times Cited: 34
Automatized spatio-temporal detection of drought impacts from newspaper articles using natural language processing and machine learning
Jan Sodoge, Christian Kuhlicke, Mariana Madruga de Brito
Weather and Climate Extremes (2023) Vol. 41, pp. 100574-100574
Open Access | Times Cited: 29
Jan Sodoge, Christian Kuhlicke, Mariana Madruga de Brito
Weather and Climate Extremes (2023) Vol. 41, pp. 100574-100574
Open Access | Times Cited: 29
How effective is twitter (X) social media data for urban flood management?
Shan‐e‐hyder Soomro, Muhammad Waseem Boota, Haider M. Zwain, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131129-131129
Closed Access | Times Cited: 10
Shan‐e‐hyder Soomro, Muhammad Waseem Boota, Haider M. Zwain, et al.
Journal of Hydrology (2024) Vol. 634, pp. 131129-131129
Closed Access | Times Cited: 10
Spatiotemporal assessment of urban flooding hazard using social media: A case study of Zhengzhou ‘7·20’
Jiaqi Peng, Jianming Zhang
Environmental Modelling & Software (2024) Vol. 176, pp. 106021-106021
Closed Access | Times Cited: 7
Jiaqi Peng, Jianming Zhang
Environmental Modelling & Software (2024) Vol. 176, pp. 106021-106021
Closed Access | Times Cited: 7
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: 20
Achraf Tounsi, Marouane Temimi
Natural Hazards (2023) Vol. 116, Iss. 3, pp. 2819-2870
Open Access | Times Cited: 20
A novel neural network model fusion approach for improving medical named entity recognition in online health expert question-answering services
Ze Hu, Xiaoning Ma
Expert Systems with Applications (2023) Vol. 223, pp. 119880-119880
Closed Access | Times Cited: 20
Ze Hu, Xiaoning Ma
Expert Systems with Applications (2023) Vol. 223, pp. 119880-119880
Closed Access | Times Cited: 20
Integrating climate change induced flood risk into future population projections
Evelyn Shu, Jeremy R. Porter, Mathew Hauer, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Evelyn Shu, Jeremy R. Porter, Mathew Hauer, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Automatic pipeline for information of curve graphs in papers based on deep learning
Yuexing Han, Jinhua Xia, Rui Zhang, et al.
International Journal of Machine Learning and Cybernetics (2025)
Open Access
Yuexing Han, Jinhua Xia, Rui Zhang, et al.
International Journal of Machine Learning and Cybernetics (2025)
Open Access
A high resolution input–output model to assess the economic impact of floods
Jlenia Di Noia, Alessandro Caiani, Luigi Cesarini, et al.
Journal of Economic Behavior & Organization (2025) Vol. 230, pp. 106896-106896
Closed Access
Jlenia Di Noia, Alessandro Caiani, Luigi Cesarini, et al.
Journal of Economic Behavior & Organization (2025) Vol. 230, pp. 106896-106896
Closed Access
SeqIA: A Python framework for extracting drought impacts from news archives
Miguel López-Otal, Fernando Domínguez‐Castro, Borja Latorre, et al.
Environmental Modelling & Software (2025), pp. 106382-106382
Closed Access
Miguel López-Otal, Fernando Domínguez‐Castro, Borja Latorre, et al.
Environmental Modelling & Software (2025), pp. 106382-106382
Closed Access
More eyes on the road: Sensing flooded roads by fusing real-time observations from public data sources
Pranavesh Panakkal, Jamie E. Padgett
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110368-110368
Closed Access | Times Cited: 4
Pranavesh Panakkal, Jamie E. Padgett
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110368-110368
Closed Access | Times Cited: 4
Implementing a routine and standard approach for the automatic collection of socio-economic impact observations for impact-based forecasting and warning
Faye Wyatt, Joanne Robbins, S. V. Eaton
International Journal of Disaster Risk Reduction (2024) Vol. 110, pp. 104608-104608
Open Access | Times Cited: 3
Faye Wyatt, Joanne Robbins, S. V. Eaton
International Journal of Disaster Risk Reduction (2024) Vol. 110, pp. 104608-104608
Open Access | Times Cited: 3
Unraveling the complexities of urban fluvial flood hydraulics through AI
Md Abdullah Al Mehedi, Virginia Smith, Hossein Hosseiny, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Md Abdullah Al Mehedi, Virginia Smith, Hossein Hosseiny, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Detecting information from Twitter on landslide hazards in Italy using deep learning models
Rachele Franceschini, Ascanio Rosi, Filippo Catani, et al.
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Rachele Franceschini, Ascanio Rosi, Filippo Catani, et al.
Geoenvironmental Disasters (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Natural language processing for humanitarian action: Opportunities, challenges, and the path toward humanitarian NLP
Roberta Rocca, Nicolò Tamagnone, Selim Fekih, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 6
Roberta Rocca, Nicolò Tamagnone, Selim Fekih, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 6
Sequence tagging with a rethinking structure for joint entity and relation extraction
Daojian Zeng, Lu Xu, Chao Jiang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 2, pp. 519-531
Closed Access | Times Cited: 3
Daojian Zeng, Lu Xu, Chao Jiang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 2, pp. 519-531
Closed Access | Times Cited: 3
Erforschung von Bewegungsbeschreibungen durch geovisuelle Analytik
Scott Pezanowski, Prasenjit Mitra, Alan M. MacEachren
KN - Journal of Cartography and Geographic Information (2022) Vol. 72, Iss. 1, pp. 5-27
Open Access | Times Cited: 5
Scott Pezanowski, Prasenjit Mitra, Alan M. MacEachren
KN - Journal of Cartography and Geographic Information (2022) Vol. 72, Iss. 1, pp. 5-27
Open Access | Times Cited: 5
Natural Language Processing Based on Convolutional Neural Network and Semi Supervised Algorithm in Deep Learning
Shuo Yang
2022 International Conference on Artificial Intelligence in Everything (AIE) (2022), pp. 174-178
Closed Access | Times Cited: 5
Shuo Yang
2022 International Conference on Artificial Intelligence in Everything (AIE) (2022), pp. 174-178
Closed Access | Times Cited: 5
Leave no Place Behind: Improved Geolocation in Humanitarian Documents
Enrico Belliardo, Kyriaki Kalimeri, Yelena Mejova
(2023)
Open Access | Times Cited: 2
Enrico Belliardo, Kyriaki Kalimeri, Yelena Mejova
(2023)
Open Access | Times Cited: 2
AGORA: An intelligent system for the anonymization, information extraction and automatic mapping of sensitive documents
Rodrigo Juez-Hernandez, Lara Quijano-Sánchez, Federico Liberatore, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110540-110540
Open Access | Times Cited: 2
Rodrigo Juez-Hernandez, Lara Quijano-Sánchez, Federico Liberatore, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110540-110540
Open Access | Times Cited: 2
Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification
Nicolò Tamagnone, Selim Fekih, Ximena Contla, et al.
(2023), pp. 6219-6227
Open Access | Times Cited: 2
Nicolò Tamagnone, Selim Fekih, Ximena Contla, et al.
(2023), pp. 6219-6227
Open Access | Times Cited: 2
Streaming geocoding of incidents based on information from social networks
Yana A. Bekeneva, Alexandr Lopushanskiy
ITM Web of Conferences (2024) Vol. 59, pp. 03004-03004
Open Access
Yana A. Bekeneva, Alexandr Lopushanskiy
ITM Web of Conferences (2024) Vol. 59, pp. 03004-03004
Open Access
Extracting Spatiotemporal Flood Information from News Texts Using Machine Learning for a National Dataset in China
Shengnan Fu, David M. Schultz, Heng Lyu, et al.
(2024)
Open Access
Shengnan Fu, David M. Schultz, Heng Lyu, et al.
(2024)
Open Access
Automatic Pipeline for Information of Curve Graphs in Papers Based on Deep Learning
Yuexing Han
Research Square (Research Square) (2024)
Open Access
Yuexing Han
Research Square (Research Square) (2024)
Open Access