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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:

A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
Bangqian Chen, Xiangming Xiao, Xiangping Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 131, pp. 104-120
Open Access | Times Cited: 382

Showing 26-50 of 382 citing articles:

Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification
Ate Poortinga, Karis Tenneson, Aurélie Shapiro, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 831-831
Open Access | Times Cited: 134
A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010–2018
Tien Dat Pham, Junshi Xia, Nam Thang Ha, et al.
Sensors (2019) Vol. 19, Iss. 8, pp. 1933-1933
Open Access | Times Cited: 134
Mapping national-scale aquaculture ponds based on the Google Earth Engine in the Chinese coastal zone
Yuanqiang Duan, Xing Li, Lianpeng Zhang, et al.
Aquaculture (2019) Vol. 520, pp. 734666-734666
Closed Access | Times Cited: 125
Automatic Land-Cover Mapping using Landsat Time-Series Data based on Google Earth Engine
Shuai Xie, Liangyun Liu, Xiao Zhang, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 3023-3023
Open Access | Times Cited: 124
Assessing the Three-North Shelter Forest Program in China by a novel framework for characterizing vegetation changes
Bingwen Qiu, Gong Chen, Zhenghong Tang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 133, pp. 75-88
Closed Access | Times Cited: 107
Changes in Water Surface Area during 1989–2017 in the Huai River Basin using Landsat Data and Google Earth Engine
Haoming Xia, Jinyu Zhao, Yaochen Qin, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1824-1824
Open Access | Times Cited: 101
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features
Zhen Zhang, Nan Xu, Yangfan Li, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112799-112799
Closed Access | Times Cited: 95
Mapping coastal salt marshes in China using time series of Sentinel-1 SAR
Yuekai Hu, Bo Tian, Lin Yuan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 122-134
Closed Access | Times Cited: 92
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine
Li Pan, Haoming Xia, Xiaoyang Zhao, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2510-2510
Open Access | Times Cited: 92
Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles
Haifeng Tian, Yaochen Qin, Zheng Niu, et al.
Journal of the Indian Society of Remote Sensing (2021) Vol. 49, Iss. 11, pp. 2863-2874
Closed Access | Times Cited: 92
Integrating UAV optical imagery and LiDAR data for assessing the spatial relationship between mangrove and inundation across a subtropical estuarine wetland
Xudong Zhu, Yuwen Hou, Qihao Weng, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 149, pp. 146-156
Closed Access | Times Cited: 88
Mapping Tidal Flats with Landsat 8 Images and Google Earth Engine: A Case Study of the China’s Eastern Coastal Zone circa 2015
Kangyong Zhang, Xuanyan Dong, Zhigang Liu, et al.
Remote Sensing (2019) Vol. 11, Iss. 8, pp. 924-924
Open Access | Times Cited: 80
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery
Andrii Shelestov, Mykola Lavreniuk, Vladimir Vasiliev, et al.
IEEE Transactions on Big Data (2019) Vol. 6, Iss. 3, pp. 572-582
Closed Access | Times Cited: 78
High-Resolution Mangrove Forests Classification with Machine Learning Using Worldview and UAV Hyperspectral Data
Yufeng Jiang, Li Zhang, Min Yan, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1529-1529
Open Access | Times Cited: 78
Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine
Chong Luo, Huanjun Liu, Lü-ping LU, et al.
Journal of Integrative Agriculture (2021) Vol. 20, Iss. 7, pp. 1944-1957
Open Access | Times Cited: 77
Comparing different classification algorithms for monitoring mangrove cover changes in southern Iran
Neda Bihamta Toosi, A. Soffianian, Sima Fakheran, et al.
Global Ecology and Conservation (2019) Vol. 19, pp. e00662-e00662
Open Access | Times Cited: 76
Sonneratia apetala introduction alters methane cycling microbial communities and increases methane emissions in mangrove ecosystems
Xiaoli Yu, Xueqin Yang, Yongjie Wu, et al.
Soil Biology and Biochemistry (2020) Vol. 144, pp. 107775-107775
Closed Access | Times Cited: 76
Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning
Feng Zhao, Rui Sun, Liheng Zhong, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112822-112822
Closed Access | Times Cited: 75
Advancing the Mapping of Mangrove Forests at National-Scale Using Sentinel-1 and Sentinel-2 Time-Series Data with Google Earth Engine: A Case Study in China
Luojia Hu, Nan Xu, Jian Liang, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3120-3120
Open Access | Times Cited: 71
Evaluating mangrove conservation and sustainability through spatiotemporal (1990–2020) mangrove cover change analysis in Pakistan
Hammad Gilani, Hafiza Iqra Naz, Masood Arshad, et al.
Estuarine Coastal and Shelf Science (2020) Vol. 249, pp. 107128-107128
Closed Access | Times Cited: 70
A 30 m terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine
Bowen Cao, Le Yu, Victoria Naipal, et al.
Earth system science data (2021) Vol. 13, Iss. 5, pp. 2437-2456
Open Access | Times Cited: 69
Improved machine-learning mapping of local climate zones in metropolitan areas using composite Earth observation data in Google Earth Engine
Lamuel Chi Hay Chung, Jing Xie, Chao Ren
Building and Environment (2021) Vol. 199, pp. 107879-107879
Closed Access | Times Cited: 66
Land Use/Land Cover Change and Their Driving Factors in the Yellow River Basin of Shandong Province Based on Google Earth Engine from 2000 to 2020
Jian Cui, Mingshui Zhu, Yong Liang, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 3, pp. 163-163
Open Access | Times Cited: 62
Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine
Luca Pipia, Eatidal Amin, Santiago Belda, et al.
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 403-403
Open Access | Times Cited: 61
How to automate timely large-scale mangrove mapping with remote sensing
Ying Lu, Le Wang
Remote Sensing of Environment (2021) Vol. 264, pp. 112584-112584
Open Access | Times Cited: 59

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