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 salt marsh along coastal South Carolina using U-Net
Huixuan Li, Cuizhen Wang, Yuxin Cui, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 179, pp. 121-132
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding
Zhouyayan Li, İbrahim Demir
The Science of The Total Environment (2023) Vol. 869, pp. 161757-161757
Open Access | Times Cited: 69

Toward a better understanding of coastal salt marsh mapping: A case from China using dual-temporal images
Chuanpeng Zhao, Mingming Jia, Zongming Wang, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113664-113664
Closed Access | Times Cited: 45

Comparison of RFE-DL and stacking ensemble learning algorithms for classifying mangrove species on UAV multispectral images
Bolin Fu, Xu He, Hang Yao, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102890-102890
Open Access | Times Cited: 68

FENet: feature enhancement network for land cover classification
Zhanming Ma, Min Xia, Haifeng Lin, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 5, pp. 1702-1725
Closed Access | Times Cited: 31

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review
Rosa Maria Cavalli
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 446-446
Open Access | Times Cited: 11

Habitat quality evaluation and pattern simulation of coastal salt marsh wetlands
Yuting Huang, Guanghui Zheng, Xianglan Li, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 174003-174003
Closed Access | Times Cited: 11

Improved U-Net Remote Sensing Classification Algorithm Based on Multi-Feature Fusion Perception
Chuan Yan, Xiangsuo Fan, Jinlong Fan, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1118-1118
Open Access | Times Cited: 36

Application of Deep Learning in Multitemporal Remote Sensing Image Classification
Xinglu Cheng, Yonghua Sun, Wangkuan Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3859-3859
Open Access | Times Cited: 22

An Effective Deep Learning Model for Monitoring Mangroves: A Case Study of the Indus Delta
Chen Xu, Juanle Wang, Yu Sang, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2220-2220
Open Access | Times Cited: 20

Monitoring the Invasive Plant Spartina alterniflora in Jiangsu Coastal Wetland Using MRCNN and Long-Time Series Landsat Data
Zhu Wenqing, Guangbo Ren, Jianping Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2630-2630
Open Access | Times Cited: 25

UAV-Hyperspectral Imaging to Estimate Species Distribution in Salt Marshes: A Case Study in the Cadiz Bay (SW Spain)
Andrea Celeste Curcio, L. Barbero, Gloria Peralta
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1419-1419
Open Access | Times Cited: 13

Combination of super-resolution reconstruction and SGA-Net for marsh vegetation mapping using multi-resolution multispectral and hyperspectral images
Bolin Fu, Xidong Sun, Yuyang Li, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2724-2761
Open Access | Times Cited: 13

Monitoring the spatial–temporal distribution of invasive plant in urban water using deep learning and remote sensing technology
Zhenbang Hao, Lili Lin, Christopher J. Post, et al.
Ecological Indicators (2024) Vol. 162, pp. 112061-112061
Open Access | Times Cited: 4

Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study
Grayson R. Morgan, Cuizhen Wang, Zhenlong Li, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 2, pp. 100-100
Open Access | Times Cited: 19

A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments
Daniel Buscombe, Phillipe A. Wernette, Sharon Fitzpatrick, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 10

ViT-ChangeFormer: A Deep Learning Approach for Cropland Abandonment Detection in Lahore, Pakistan Using Landsat-8 and Sentinel-2 Data
Mannan Karim, Haiyan Guan, Jiahua Zhang, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101468-101468
Closed Access

Identification of Salt Marsh Vegetation in the Yellow River Delta Using UAV Multispectral Imagery and Deep Learning
Xiaohui Bai, Changzhi Yang, Lei Fang, et al.
Drones (2025) Vol. 9, Iss. 4, pp. 235-235
Open Access

Machine learning reveals hierarchical spatial patterns in salt marsh ditching along U.S. Atlantic Coast
Karen E. Aerni, Tom W. Bell, David L. Kimbro
Research Square (Research Square) (2025)
Closed Access

Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach
Zhonghui Lv, Karinna Nunez, Ethan Brewer, et al.
GIScience & Remote Sensing (2023) Vol. 61, Iss. 1
Open Access | Times Cited: 9

Precise mapping of coastal wetlands using time-series remote sensing images and deep learning model
Lina Ke, Yao Lu, Tan Qin, et al.
Frontiers in Forests and Global Change (2024) Vol. 7
Closed Access | Times Cited: 3

Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction
Simone Monaco, Salvatore Greco, Alessandro Farasin, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 11060-11060
Open Access | Times Cited: 19

An MLC and U-Net Integrated Method for Land Use/Land Cover Change Detection Based on Time Series NDVI-Composed Image from PlanetScope Satellite
Jianshu Wang, Mengyuan Yang, Zhida Chen, et al.
Water (2022) Vol. 14, Iss. 21, pp. 3363-3363
Open Access | Times Cited: 11

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