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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:

Semantic segmentation of water bodies in very high-resolution satellite and aerial images
Marc Wieland, Sandro Martinis, Ralph Kiefl, et al.
Remote Sensing of Environment (2023) Vol. 287, pp. 113452-113452
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Satellite Video Remote Sensing for Flood Model Validation
Christopher Masafu, Richard Williams
Water Resources Research (2024) Vol. 60, Iss. 1
Open Access | Times Cited: 11
Weakly-semi supervised extraction of rooftop photovoltaics from high-resolution images based on segment anything model and class activation map
Ruiqing Yang, Guojin He, Ranyu Yin, et al.
Applied Energy (2024) Vol. 361, pp. 122964-122964
Closed Access | Times Cited: 11
GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery
Yansheng Li, Bo Dang, Wanchun Li, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22213-22221
Open Access | Times Cited: 11
Quantifying the scale of erosion along major coastal aquifers of Pakistan using geospatial and machine learning approaches
Hafsa Aeman, Hong Shu, Hamera Aisha, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32746-32765
Closed Access | Times Cited: 8
A novel AI-based model for real-time flooding image recognition using super-resolution generative adversarial network
Yuan-Fu Zeng, M. M. Chang, Gwo‐Fong Lin
Journal of Hydrology (2024) Vol. 638, pp. 131475-131475
Closed Access | Times Cited: 8
Automatic identification of illegal construction and demolition waste landfills: A computer vision approach
Qiaoqiao Yong, Huanyu Wu, Jiayuan Wang, et al.
Waste Management (2023) Vol. 172, pp. 267-277
Closed Access | Times Cited: 17
A Spectral–Spatial Context-Boosted Network for Semantic Segmentation of Remote Sensing Images
Xin Li, Xi Yong, Tao Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1214-1214
Open Access | Times Cited: 7
An efficient approach to detect and segment underwater images using Swin Transformer
S. Pavithra, Cicil Melbin Denny J
Results in Engineering (2024) Vol. 23, pp. 102460-102460
Open Access | Times Cited: 6
Evaluation of urban underground space via automated constraint identification and hybrid analysis
Fei Deng, Tianxiao Cheng, Yu Huang, et al.
Tunnelling and Underground Space Technology (2024) Vol. 153, pp. 106005-106005
Closed Access | Times Cited: 5
S1S2-Water: A Global Dataset for Semantic Segmentation of Water Bodies From Sentinel- 1 and Sentinel-2 Satellite Images
Marc Wieland, Florian Fichtner, Sandro Martinis, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1084-1099
Open Access | Times Cited: 15
A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China
Haocheng Huang, Xiaohui Lei, Weihong Liao, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 165834-165834
Closed Access | Times Cited: 13
CGGLNet: Semantic Segmentation Network for Remote Sensing Images Based on Category-Guided Global–Local Feature Interaction
Yue Ni, Jiahang Liu, Weijian Chi, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Closed Access | Times Cited: 5
Automatic extraction of glacial lakes from Landsat imagery using deep learning across the Third Pole region
Qian Tang, Guoqing Zhang, Tandong Yao, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114413-114413
Closed Access | Times Cited: 5
Unlocking the full potential of Sentinel-1 for flood detection in arid regions
Shagun Garg, Antara Dasgupta, Mahdi Motagh, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114417-114417
Open Access | Times Cited: 5
Global and Local Dual Fusion Network for Large-ratio Cloud Occlusion Missing Information Reconstruction of a High-resolution Remote Sensing Image
Weiling Liu, Yonghua Jiang, Jingyin Wang, et al.
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Closed Access | Times Cited: 4
MFCA-Net: a deep learning method for semantic segmentation of remote sensing images
Xiujuan Li, Junhuai Li
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Unlocking the potential of CYGNSS for pan-tropical inland water mapping through multi-source data and transformer
Yu‐Han Chen, Qingyun Yan
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 133, pp. 104122-104122
Open Access | Times Cited: 4
AA-TransDeeplabv3 + : a novel semantic segmentation framework for aerial images using adaptive and attentive based Transdeeplabv3 + with hybrid optimization technique
P. Anilkumar, P. Venugopal, Kokkula Lokesh, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access
A hybrid approach for island recognition by synthesizing object-oriented deep learning and pixel-based adaptive thresholding: global experiments on Sentinel-2 imagery
Shimeng Hou, Yingli Tian, Yongqi Sun, et al.
International Journal of Remote Sensing (2025), pp. 1-26
Closed Access
Enhancing urban resilience through integrated flood policy and planning: a mixed-methods evaluation of retention ponds for flood mitigation in South Bandung
Eka Permanasari, M Rizky Wijaya, Vicky Feliren, et al.
AQUA - Water Infrastructure Ecosystems and Society (2025)
Open Access
Semantic Segmentation for Vision and Intelligence
Junhao Song, Junjie Yang, Bowen Jing, et al.
(2025)
Closed Access
Domain Adaptation and Fine-Tuning of a Deep Learning Segmentation Model of Small Agricultural Burn Area Detection Using High-Resolution Sentinel-2 Observations: A Case Study of Punjab, India
Anamika Anand, Ryoichi Imasu, S. K. Dhaka, et al.
Remote Sensing (2025) Vol. 17, Iss. 6, pp. 974-974
Open Access
Optimizing Satellite Imagery Datasets for Enhanced Land/Water Segmentation
Marco Scarpetta, Luisa De Palma, Attilio Di Nisio, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1793-1793
Open Access
Limits to fluvial planimetric adjustment imposed by anthropogenic confinement
Michael Vinícius de Sordi, Giovanni Vezzoli, Francesco Brardinoni
CATENA (2025) Vol. 254, pp. 108908-108908
Open Access
Advances in Deep Learning for Semantic Segmentation of Low-Contrast Images: A Systematic Review of Methods, Challenges, and Future Directions
Claudio Urrea, M. Velez
Sensors (2025) Vol. 25, Iss. 7, pp. 2043-2043
Open Access
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