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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:

Mapping Floods in Lowland Forest Using Sentinel-1 and Sentinel-2 Data and an Object-Based Approach
Mateo Gašparović, Damir Klobučar
Forests (2021) Vol. 12, Iss. 5, pp. 553-553
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks
Zhen Dong, Guojie Wang, Solomon Obiri Yeboah Amankwah, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102400-102400
Open Access | Times Cited: 86
Flood damage assessment with Sentinel-1 and Sentinel-2 data after Sardoba dam break with GLCM features and Random Forest method
Beste Tavus, Sultan Kocaman, Candan Gökçeoğlu
The Science of The Total Environment (2021) Vol. 816, pp. 151585-151585
Closed Access | Times Cited: 67
Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia
Dino Dobrinić, Mateo Gašparović, Damir Medak
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2321-2321
Open Access | Times Cited: 66
The Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture
Dorijan Radočaj, Mladen Jurišić, Mateo Gašparović
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 778-778
Open Access | Times Cited: 58
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4050-4050
Open Access | Times Cited: 44
Assessing multi-source random forest classification and robustness of predictor variables in flooded areas mapping
Cinzia Albertini, Andrea Gioia, Vito Iacobellis, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101239-101239
Open Access | Times Cited: 12
Spatial analysis of flood susceptibility in Coastal area of Pakistan using machine learning models and SAR imagery
Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Closed Access | Times Cited: 1
Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest
Chi-Nguyen Lam, Simona Niculescu, Soumia Bengoufa
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2001-2001
Open Access | Times Cited: 20
Assessment of machine learning algorithms and new hybrid multi-criteria analysis for flood hazard and mapping
Karim Solaimani, Shadman Darvishi, Fatemeh Shokrian
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32950-32971
Closed Access | Times Cited: 5
An Evaluation of Pixel- and Object-Based Tree Species Classification in Mixed Deciduous Forests Using Pansharpened Very High Spatial Resolution Satellite Imagery
Martina Deur, Mateo Gašparović, Ivan Balenović
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1868-1868
Open Access | Times Cited: 25
The role of spectro-temporal remote sensing in vegetation classification: A comprehensive review integrating machine learning and bibliometric analysis
Arif Ur Rehman, Abdur Raziq, Bhaskar Shrestha, et al.
Computers and Electronics in Agriculture (2025) Vol. 234, pp. 110184-110184
Closed Access
A New Remote Sensing Index for the Detection of Multi-Type Forest Anomalies Based on Sentinel-2 Imagery
Dalin Liang, Biao Cao, Qiao Wang, et al.
Forests (2025) Vol. 16, Iss. 3, pp. 497-497
Open Access
Areal extent of vegetative cover: A challenge to regional upscaling of methane emissions
John M. Mélack, Laura L. Hess
Aquatic Botany (2022) Vol. 184, pp. 103592-103592
Open Access | Times Cited: 16
Sentinel-1 Spatiotemporal Simulation Using Convolutional LSTM for Flood Mapping
Noel Iván Ulloa, Sang‐Ho Yun, Shou‐Hao Chiang, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 246-246
Open Access | Times Cited: 15
Google earth engine based computational system for the earth and environment monitoring applications during the COVID-19 pandemic using thresholding technique on SAR datasets
Sukanya Ghosh, Deepak Kumar, Rina Kumari
Physics and Chemistry of the Earth Parts A/B/C (2022) Vol. 127, pp. 103163-103163
Open Access | Times Cited: 13
Flooded Extent and Depth Analysis Using Optical and SAR Remote Sensing with Machine Learning Algorithms
Jesús Soria-Ruíz, Yolanda M. Fernández-Ordoñez, Juan P. Ambrosio-Ambrosio, et al.
Atmosphere (2022) Vol. 13, Iss. 11, pp. 1852-1852
Open Access | Times Cited: 13
Improving flood inundation modeling skill: interconnection between model parameters and boundary conditions
Nazife Oruc Baci, Keighobad Jafarzadegan, Hamid Moradkhani
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 1, pp. 243-257
Closed Access | Times Cited: 7
Flood sequence mapping with multimodal remote sensing under the influence of dense vegetation
Zhouyayan Li, İbrahim Demir
International Journal of Remote Sensing (2024) Vol. 45, Iss. 4, pp. 1059-1078
Open Access | Times Cited: 2
Leveraging Sentinel-2 and Geographical Information Systems in Mapping Flooded Regions around the Sesia River, Piedmont, Italy
George P. Petropoulos, Athina Georgiadi, Kleomenis Kalogeropoulos
GeoHazards (2024) Vol. 5, Iss. 2, pp. 485-503
Open Access | Times Cited: 2
Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning
J.E. Sanderson, Hua Mao, Mohammed A. M. Abdullah, et al.
Information (2023) Vol. 14, Iss. 12, pp. 660-660
Open Access | Times Cited: 4
Integrating Sentinel-1/2 Data and Machine Learning to Map Cotton Fields in Northern Xinjiang, China
Tao Hu, Yi’na Hu, Jianquan Dong, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4819-4819
Open Access | Times Cited: 10
Towards robust validation strategies for EO flood maps
Tim Landwehr, Antara Dasgupta, Björn Waske
Remote Sensing of Environment (2024) Vol. 315, pp. 114439-114439
Open Access | Times Cited: 1
Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation
Andrei Toma, Ionuț Șandric, Bogdan Mihai
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 1
Remote Sensing for Flood Mapping and Monitoring
Rizwan Sadiq, Muhammad Imran, Ferda Ofli
International Handbook of Disaster Research (2023), pp. 1-19
Closed Access | Times Cited: 3
Remote Sensing for Flood Mapping and Monitoring
Rizwan Sadiq, Muhammad Imran, Ferda Ofli
International Handbook of Disaster Research (2023), pp. 679-697
Closed Access | Times Cited: 3
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