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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:

Basin-scale high-resolution extraction of drainage networks using 10-m Sentinel-2 imagery
Zifeng Wang, Junguo Liu, Jinbao Li, et al.
Remote Sensing of Environment (2021) Vol. 255, pp. 112281-112281
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Automatic monitoring of surface water dynamics using Sentinel-1 and Sentinel-2 data with Google Earth Engine
Zhiheng Chen, Shuhe Zhao
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 113, pp. 103010-103010
Open Access | Times Cited: 44
Convolutional Neural Networks Facilitate River Barrier Detection and Evidence Severe Habitat Fragmentation in the Mekong River Biodiversity Hotspot
Jingrui Sun, Chengzhi Ding, Martyn C. Lucas, et al.
Water Resources Research (2024) Vol. 60, Iss. 1
Open Access | Times Cited: 12
Optical remote sensing of large-scale water pollution in Angola and DR Congo caused by the Catoca mine tailings spill
Désirée Ruppen, James Runnalls, Raphaël M. Tshimanga, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103237-103237
Open Access | Times Cited: 17
Spatio-Temporal Patterns of Land Use and Cover Change in the Lancang–Mekong River Basin during 2000–2020
F C Lang, Yutian Liang, Shangqian Li, et al.
Land (2024) Vol. 13, Iss. 3, pp. 305-305
Open Access | Times Cited: 5
Unveiling the hidden dynamics of intermittent surface water: A remote sensing framework
Zhen Xiao, Runkui Li, Mingjun Ding, et al.
Remote Sensing of Environment (2024) Vol. 311, pp. 114285-114285
Closed Access | Times Cited: 5
Transfer Learning with Convolutional Neural Networks for Hydrological Streamline Delineation
Nattapon Jaroenchai, Shaowen Wang, Lawrence V. Stanislawski, et al.
Environmental Modelling & Software (2024) Vol. 181, pp. 106165-106165
Closed Access | Times Cited: 5
Flood Monitoring Based on Multi-Source Remote Sensing Data Fusion Driven by HIS-NSCT Model
P. F. Ding, Rong Li, Chenfei Duan, et al.
Water (2025) Vol. 17, Iss. 3, pp. 396-396
Open Access
From Pollution Control Cooperation of Lancang-Mekong River to “Two Mountains Theory”
Yuntao Bai, Qiang Wang, Yueling Yang
Sustainability (2022) Vol. 14, Iss. 4, pp. 2392-2392
Open Access | Times Cited: 21
A deep learning-based method for mapping alpine intermittent rivers and ephemeral streams of the Tibetan Plateau from Sentinel-1 time series and DEMs
Junyuan Fei, Jintao Liu, Linghong Ke, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113271-113271
Closed Access | Times Cited: 19
Water Resources in the Lancang-Mekong River Basin: Impact of Climate Change and Human Interventions

(2024)
Closed Access | Times Cited: 3
Automated Extraction of Ground Fissures Due to Coal Mining Subsidence Based on UAV Photogrammetry
Kun Yang, Zhenqi Hu, Yusheng Liang, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1071-1071
Open Access | Times Cited: 15
A New Method for Long-Term River Discharge Estimation of Small- and Medium-Scale Rivers by Using Multisource Remote Sensing and RSHS: Application and Validation
Hezhen Lou, Yujia Zhang, Shengtian Yang, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1798-1798
Open Access | Times Cited: 15
A New Extraction Method of Surface Water Based on Dense Time-Sequence Images
Hanyuan Liu, Yue Shi, Qinyuan Chang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 3151-3166
Open Access | Times Cited: 2
Usable observations over Europe: evaluation of compositing windows for Landsat and Sentinel-2 time series
Katarzyna Ewa Lewińska, David Frantz, Ulf Leser, et al.
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 2
New deep learning method for efficient extraction of small water from remote sensing images
Yuanjiang Luo, Ao Feng, Hongxiang Li, et al.
PLoS ONE (2022) Vol. 17, Iss. 8, pp. e0272317-e0272317
Open Access | Times Cited: 13
Extracting a Connected River Network from DEM by Incorporating Surface River Occurrence Data and Sentinel-2 Imagery in the Danjiangkou Reservoir Area
Lijie Lu, Lihui Wang, Qichi Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1014-1014
Open Access | Times Cited: 7
Extracting an accurate river network: Stream burning re-revisited
Qiuyang Chen, Simon M. Mudd, Mikaël Attal, et al.
Remote Sensing of Environment (2024) Vol. 312, pp. 114333-114333
Open Access | Times Cited: 2
Mechanically and accurately calculate river width in vegetation areas by coupling Sentinel-1 and -2 imageries within land-water-mixed pixels
Maomao Li, Changsen Zhao, Zhen Duan, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131913-131913
Closed Access | Times Cited: 2
Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data
Carmela Cavallo, Michael Nones, Maria Nicolina Papa, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8579-8601
Closed Access | Times Cited: 17
A Machine Learning Approach for Estimating the Trophic State of Urban Waters Based on Remote Sensing and Environmental Factors
Shijie Zhu, Jingqiao Mao
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2498-2498
Open Access | Times Cited: 16
AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data
Sarah Mazhar, Guangmin Sun, Anas Bilal, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3283-3283
Open Access | Times Cited: 10
The importance of source data in river network connectivity modeling: A review
Craig Brinkerhoff
Limnology and Oceanography (2024)
Open Access | Times Cited: 1
Basin‐Scale CO2 Emissions From the East River in South China: Importance of Small Rivers, Human Impacts and Monsoons
Boyi Liu, Zifeng Wang, Mingyang Tian, et al.
Journal of Geophysical Research Biogeosciences (2023) Vol. 128, Iss. 1
Open Access | Times Cited: 4
High-resolution global water body datasets underestimate the extent of small rivers
Wei Mao, Kang Yang, Wensong Zhang, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 11, pp. 4315-4330
Closed Access | Times Cited: 5
Usable Observations over Europe: Evaluation of Compositing Windows for Landsat and Sentinel-2 Time Series
Katarzyna Ewa Lewińska, David Frantz, Ulf Leser, et al.
(2023)
Open Access | Times Cited: 2
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