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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:

Rapid Land Cover Map Updates Using Change Detection and Robust Random Forest Classifiers
Konrad Wessels, F. van den Bergh, David P. Roy, et al.
Remote Sensing (2016) Vol. 8, Iss. 11, pp. 888-888
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
Jie Yang, Xin Huang
Earth system science data (2021) Vol. 13, Iss. 8, pp. 3907-3925
Open Access | Times Cited: 1877
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 6308-6325
Open Access | Times Cited: 739
GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery
Xiao Zhang, Liangyun Liu, Xidong Chen, et al.
Earth system science data (2021) Vol. 13, Iss. 6, pp. 2753-2776
Open Access | Times Cited: 693
Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
Abdulhakim M. Abdi
GIScience & Remote Sensing (2019) Vol. 57, Iss. 1, pp. 1-20
Open Access | Times Cited: 495
A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection
Qian Shi, Mengxi Liu, Shengchen Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-16
Closed Access | Times Cited: 390
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine
Jun Xiong, Prasad S. Thenkabail, James C. Tilton, et al.
Remote Sensing (2017) Vol. 9, Iss. 10, pp. 1065-1065
Open Access | Times Cited: 364
Land cover 2.0
Michael A. Wulder, Nicholas C. Coops, David P. Roy, et al.
International Journal of Remote Sensing (2018) Vol. 39, Iss. 12, pp. 4254-4284
Open Access | Times Cited: 348
Using the 500 m MODIS land cover product to derive a consistent continental scale 30 m Landsat land cover classification
Hankui K. Zhang, David P. Roy
Remote Sensing of Environment (2017) Vol. 197, pp. 15-34
Open Access | Times Cited: 288
Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies
Emilio Chuvieco, Joshua Lizundia-Loiola, M. Lucrecia Pettinari, et al.
Earth system science data (2018) Vol. 10, Iss. 4, pp. 2015-2031
Open Access | Times Cited: 236
Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time Series
Txomin Hermosilla, Michael A. Wulder, Joanne C. White, et al.
Canadian Journal of Remote Sensing (2018) Vol. 44, Iss. 1, pp. 67-87
Open Access | Times Cited: 217
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach
J. F. Brown, H. Tollerud, Christopher Barber, et al.
Remote Sensing of Environment (2019) Vol. 238, pp. 111356-111356
Open Access | Times Cited: 194
A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection
Mengxi Liu, Zhuoqun Chai, Haojun Deng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 4297-4306
Open Access | Times Cited: 185
30 m annual land cover and its dynamics in China from 1990 to 2019
Jie Yang, Xin Huang
(2021)
Open Access | Times Cited: 138
GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform
Xiao Zhang, Liangyun Liu, Tingting Zhao, et al.
Earth system science data (2022) Vol. 14, Iss. 4, pp. 1831-1856
Open Access | Times Cited: 129
Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve mapping outcomes
Txomin Hermosilla, Michael A. Wulder, Joanne C. White, et al.
Remote Sensing of Environment (2021) Vol. 268, pp. 112780-112780
Open Access | Times Cited: 125
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
Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images
Xin Zhang, Bingfang Wu, Guillermo E. Ponce‐Campos, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1200-1200
Open Access | Times Cited: 121
Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from three sites in Africa
Yidi Xu, Le Yu, Feng Zhao, et al.
Remote Sensing of Environment (2018) Vol. 218, pp. 13-31
Closed Access | Times Cited: 99
Fine Land-Cover Mapping in China Using Landsat Datacube and an Operational SPECLib-Based Approach
Xiao Zhang, Liangyun Liu, Xidong Chen, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1056-1056
Open Access | Times Cited: 97
Detailed and automated classification of land use/land cover using machine learning algorithms in Google Earth Engine
Xia Pan, Zhenyi Wang, Yong Gao, et al.
Geocarto International (2021) Vol. 37, Iss. 18, pp. 5415-5432
Closed Access | Times Cited: 78
Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification
Dakota McCarty, Hyun Woo Kim, Hye Kyung Lee
Environments (2020) Vol. 7, Iss. 10, pp. 84-84
Open Access | Times Cited: 77
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection
Jia Liu, Wenjie Xuan, Yuhang Gan, et al.
Pattern Recognition (2022) Vol. 132, pp. 108960-108960
Open Access | Times Cited: 49
A high-resolution feature difference attention network for the application of building change detection
Xue Wang, Junhan Du, Kun Tan, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102950-102950
Closed Access | Times Cited: 39
Mapping abandoned cropland using Within-Year Sentinel-2 time series
Bo Liu, Wei Song
CATENA (2023) Vol. 223, pp. 106924-106924
Open Access | Times Cited: 31
A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping
Congcong Li, George Xian, Qiang Zhou, et al.
Remote Sensing of Environment (2021) Vol. 266, pp. 112670-112670
Open Access | Times Cited: 42
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