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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:

Remote sensing for wetland classification: a comprehensive review
Sahel Mahdavi, Bahram Salehi, Jean Granger, et al.
GIScience & Remote Sensing (2017) Vol. 55, Iss. 5, pp. 623-658
Closed Access | Times Cited: 311

Showing 1-25 of 311 citing articles:

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review
Meisam Amani, Arsalan Ghorbanian, Seyed Ali Ahmadi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 5326-5350
Open Access | Times Cited: 818
A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources
Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis
Water (2019) Vol. 11, Iss. 5, pp. 910-910
Open Access | Times Cited: 576
National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images
Dehua Mao, Zongming Wang, Baojia Du, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 164, pp. 11-25
Open Access | Times Cited: 318
Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory
Tedros Berhane, Charles R. Lane, Qiusheng Wu, et al.
Remote Sensing (2018) Vol. 10, Iss. 4, pp. 580-580
Open Access | Times Cited: 214
Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results
Meisam Amani, Sahel Mahdavi, Majid Afshar, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 842-842
Open Access | Times Cited: 192
Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands, South Africa
Bart Slagter, Nandin‐Erdene Tsendbazar, Andreas Vollrath, et al.
International Journal of Applied Earth Observation and Geoinformation (2019) Vol. 86, pp. 102009-102009
Open Access | Times Cited: 188
Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities
Sébastien Rapinel, Cendrine Mony, Lucie Lecoq, et al.
Remote Sensing of Environment (2019) Vol. 223, pp. 115-129
Open Access | Times Cited: 161
Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada
Evan R. DeLancey, John F. Simms, Masoud Mahdianpari, et al.
Remote Sensing (2019) Vol. 12, Iss. 1, pp. 2-2
Open Access | Times Cited: 149
Hyperspectral and Multispectral Classification for Coastal Wetland Using Depthwise Feature Interaction Network
Yunhao Gao, Wei Li, Mengmeng Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-15
Closed Access | Times Cited: 122
10 m crop type mapping using Sentinel-2 reflectance and 30 m cropland data layer product
Khuong H. Tran, Hankui K. Zhang, John McMaine, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102692-102692
Open Access | Times Cited: 74
Coastline extraction using remote sensing: a review
Weiwei Sun, Chao Chen, Weiwei Liu, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 50
Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
Rana Waqar Aslam, Hong Shu, Iram Naz, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 928-928
Open Access | Times Cited: 43
Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022
Xiao Zhang, Liangyun Liu, Tingting Zhao, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 20
Mapping and classification of Liao River Delta coastal wetland based on time series and multi-source GaoFen images using stacking ensemble model
Huiya Qian, Nisha Bao, Dantong Meng, et al.
Ecological Informatics (2024) Vol. 80, pp. 102488-102488
Open Access | Times Cited: 19
Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes
Aleksi Räsänen, Tarmo Virtanen
Remote Sensing of Environment (2019) Vol. 230, pp. 111207-111207
Closed Access | Times Cited: 117
Spectral analysis of wetlands using multi-source optical satellite imagery
Meisam Amani, Bahram Salehi, Sahel Mahdavi, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 144, pp. 119-136
Closed Access | Times Cited: 114
Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta
Quanlong Feng, Jianyu Yang, Dehai Zhu, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1006-1006
Open Access | Times Cited: 85
A generalized supervised classification scheme to produce provincial wetland inventory maps: an application of Google Earth Engine for big geo data processing
Meisam Amani, Brian Brisco, Majid Afshar, et al.
Big Earth Data (2019) Vol. 3, Iss. 4, pp. 378-394
Open Access | Times Cited: 83
MAPPING VEGETATION COMMUNITIES INSIDE WETLANDS USING SENTINEL-2 IMAGERY IN IRELAND
Saheba Bhatnagar, Laurence Gill, Shane Regan, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 88, pp. 102083-102083
Open Access | Times Cited: 82
Analyzing the spatiotemporal pattern and driving factors of wetland vegetation changes using 2000‐2019 time-series Landsat data
Meng Zhang, Hui Lin, Xiangren Long, et al.
The Science of The Total Environment (2021) Vol. 780, pp. 146615-146615
Closed Access | Times Cited: 74
Continuous Monitoring of the Flooding Dynamics in the Albufera Wetland (Spain) by Landsat-8 and Sentinel-2 Datasets
Carmela Cavallo, Maria Nicolina Papa, Massimiliano Gargiulo, et al.
Remote Sensing (2021) Vol. 13, Iss. 17, pp. 3525-3525
Open Access | Times Cited: 59
Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes
Rita Beigaitė, Hui Tang, Anders Bryn, et al.
Global Change Biology (2022) Vol. 28, Iss. 11, pp. 3557-3579
Open Access | Times Cited: 50
High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017–2021)
Melanie K. Vanderhoof, Laurie C. Alexander, Jay R. Christensen, et al.
Remote Sensing of Environment (2023) Vol. 288, pp. 113498-113498
Open Access | Times Cited: 43
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)
Mirza Waleed, Muhammad Sajjad, Muhammad Shareef Shazil, et al.
Ecological Informatics (2023) Vol. 75, pp. 102075-102075
Closed Access | Times Cited: 35
Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database
Binh Pham‐Duc, Ho Nguyen, Hien Phan, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2355-2371
Open Access | Times Cited: 35
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