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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:

Patch Similarity Convolutional Neural Network for Urban Flood Extent Mapping Using Bi-Temporal Satellite Multispectral Imagery
Bo Peng, Zonglin Meng, Qunying Huang, et al.
Remote Sensing (2019) Vol. 11, Iss. 21, pp. 2492-2492
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges
Wenzhong Shi, Min Zhang, Rui Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1688-1688
Open Access | Times Cited: 427
A review of urban physical environment sensing using street view imagery in public health studies
Yuhao Kang, Fan Zhang, Song Gao, et al.
Annals of GIS (2020) Vol. 26, Iss. 3, pp. 261-275
Open Access | Times Cited: 210
Deep learning methods for flood mapping: a review of existing applications and future research directions
Roberto Bentivoglio, Elvin Isufi, Sebastiaan N. Jonkman, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 16, pp. 4345-4378
Open Access | Times Cited: 203
Urban flood modeling using deep-learning approaches in Seoul, South Korea
Xinxiang Lei, Wei Chen, Mahdi Panahi, et al.
Journal of Hydrology (2021) Vol. 601, pp. 126684-126684
Open Access | Times Cited: 160
Transfer learning in environmental remote sensing
Yuchi Ma, Shuo Chen, Stefano Ermon, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113924-113924
Closed Access | Times Cited: 137
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning
Goutam Konapala, Sujay V. Kumar, S. Ahmad
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 180, pp. 163-173
Open Access | Times Cited: 112
Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104653-104653
Open Access | Times Cited: 101
A review of recent advances in urban flood research
Candace Agonafir, Tarendra Lakhankar, R. Khanbilvardi, et al.
Water Security (2023) Vol. 19, pp. 100141-100141
Open Access | Times Cited: 63
A Survey of Change Detection Methods Based on Remote Sensing Images for Multi-Source and Multi-Objective Scenarios
Yanan You, Jingyi Cao, Wenli Zhou
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2460-2460
Open Access | Times Cited: 100
Process-oriented SWMM real-time correction and urban flood dynamic simulation
Bingyan Ma, Zening Wu, Caihong Hu, et al.
Journal of Hydrology (2021) Vol. 605, pp. 127269-127269
Closed Access | Times Cited: 79
An efficient urban flood mapping framework towards disaster response driven by weakly supervised semantic segmentation with decoupled training samples
Yongjun He, Jinfei Wang, Ying Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 207, pp. 338-358
Closed Access | Times Cited: 12
Impacts of DEM type and resolution on deep learning-based flood inundation mapping
Mohammad Fereshtehpour, Mostafa Esmaeilzadeh, Reza Saleh Alipour, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1125-1145
Closed Access | Times Cited: 11
A Novel Urban Heat Vulnerability Analysis: Integrating Machine Learning and Remote Sensing for Enhanced Insights
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal, et al.
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3032-3032
Open Access | Times Cited: 11
Adversarial Patch Attack on Multi-Scale Object Detection for UAV Remote Sensing Images
Yichuang Zhang, Yu Zhang, Jiahao Qi, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5298-5298
Open Access | Times Cited: 29
Deep Learning Methods for Flood Mapping: A Review of Existing Applications and Future Research Directions
Roberto Bentivoglio, Elvin Isufi, Sebastiaan N. Jonkman, et al.
(2022)
Open Access | Times Cited: 24
Machine Learning for Emergency Management: A Survey and Future Outlook
Christos Kyrkou, Panayiotis Kolios, Theocharis Theocharides, et al.
Proceedings of the IEEE (2022) Vol. 111, Iss. 1, pp. 19-41
Closed Access | Times Cited: 24
Context Spatial Awareness Remote Sensing Image Change Detection Network Based on Graph and Convolution Interaction
Xinyang Song, Zhen Hua, Jinjiang Li
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 5
GMTS: GNN-based multi-scale transformer siamese network for remote sensing building change detection
Xinyang Song, Zhen Hua, Jinjiang Li
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 1685-1706
Open Access | Times Cited: 12
Urban Flood Mapping With Bitemporal Multispectral Imagery Via a Self-Supervised Learning Framework
Bo Peng, Qunying Huang, Jamp Vongkusolkit, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 2001-2016
Open Access | Times Cited: 31
Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco
Chenxi Lin, Zhenong Jin, D. J. Mulla, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1740-1740
Open Access | Times Cited: 24
A CNN-BASED FLOOD MAPPING APPROACH USING SENTINEL-1 DATA
Beste Tavus, R. Can, Sultan Kocaman
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (2022) Vol. V-3-2022, pp. 549-556
Open Access | Times Cited: 18
Assessing Machine Learning Models on Temporal and Multi‐Sensor Data for Mapping Flooded Areas
Rogério Galante Negri, Fernando B. Da Costa, Bruna Ferreira, et al.
Transactions in GIS (2025) Vol. 29, Iss. 2
Closed Access
Mapping of City Development and Urban Flooding Using Deep Learning Model for Chennai City Study Area
P. Senthilkumar, Menaka Pushpa Arthur
Lecture notes in electrical engineering (2025), pp. 71-84
Closed Access
Towards Sustainable and Resilient Infrastructure: Hurricane-Induced Roadway Closure and Accessibility Assessment in Florida Using Machine Learning
Samuel Takyi, Richard Boadu Antwi, Eren Erman Özgüven, et al.
Sustainability (2025) Vol. 17, Iss. 9, pp. 3909-3909
Open Access
A Hybrid Siamese Network With Spatiotemporal Enhancement and Two-Level Feature Fusion for Remote Sensing Image Change Detection
LiangLiang Yan, Jie Jiang
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-17
Closed Access | Times Cited: 9
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