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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 26-50 of 99 citing articles:

Linearly interpolating missing values in time series helps little for land cover classification using recurrent or attention networks
Xianghong Che, Hankui K. Zhang, Zhongbin B. Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 212, pp. 73-95
Open Access | Times Cited: 8
Training data in satellite image classification for land cover mapping: a review
Daniel Moraes, Manuel L. Campagnolo, Mário Caetano
European Journal of Remote Sensing (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 7
Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes
Tedros Berhane, Charles R. Lane, Qiusheng Wu, et al.
Remote Sensing (2017) Vol. 10, Iss. 1, pp. 46-46
Open Access | Times Cited: 56
Analysis on Land-Use Change and Its Driving Mechanism in Xilingol, China, during 2000–2020 Using the Google Earth Engine
Junzhi Ye, Dafang Zhuang, Lin Zhen, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5134-5134
Open Access | Times Cited: 35
On the Use of Sentinel-2 NDVI Time Series and Google Earth Engine to Detect Land-Use/Land-Cover Changes in Fire-Affected Areas
Rosa Lasaponara, Nicodemo Abate, Carmen Fattore, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4723-4723
Open Access | Times Cited: 26
Comparison between Parametric and Non-Parametric Supervised Land Cover Classifications of Sentinel-2 MSI and Landsat-8 OLI Data
Giuseppe Mancino, Antonio Falciano, Rodolfo Console, et al.
Geographies (2023) Vol. 3, Iss. 1, pp. 82-109
Open Access | Times Cited: 16
Identifying driving hydrogeomorphic factors of coastal wetland downgrading using random forest classification models
Keqi He, Wenhong Li, Yu Zhang, et al.
The Science of The Total Environment (2023) Vol. 894, pp. 164995-164995
Closed Access | Times Cited: 14
Building up a data engine for global urban mapping
Yuhan Zhou, Qihao Weng
Remote Sensing of Environment (2024) Vol. 311, pp. 114242-114242
Open Access | Times Cited: 6
Cost-effective disaster-induced land cover analysis: a semi-automatic methodology Using machine learning and satellite imagery
Matias I. Volke, Rodrigo Abarca-del-Río, Timothy A. Warner
International Journal of Remote Sensing (2024) Vol. 45, Iss. 2, pp. 279-305
Closed Access | Times Cited: 4
Optimizing kNN for Mapping Vegetation Cover of Arid and Semi-Arid Areas Using Landsat Images
Hua Sun, Qing Wang, Guangxing Wang, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1248-1248
Open Access | Times Cited: 36
Cropland Mapping and Change Detection: Toward Zimbabwean Cropland Inventory
Juliana Useya, Shengbo Chen, Mike Murefu
IEEE Access (2019) Vol. 7, pp. 53603-53620
Open Access | Times Cited: 30
Characterising surface roughness of Ti-6Al-4V alloy machined using coated and uncoated carbide tools with variable nose radius by machine learning
Abdul Md Mazid, Tasadduq Imam, Kazi Badrul Ahsan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106546-106546
Closed Access | Times Cited: 10
Research on Protective Forest Change Detection in Aral City Based on Deep Learning
Pengshuai Liu, Xiaojun Yin, Mingrui Ding, et al.
Forests (2025) Vol. 16, Iss. 5, pp. 775-775
Open Access
A novel change detection approach based on visual saliency and random forest from multi-temporal high-resolution remote-sensing images
Wenqing Feng, Haigang Sui, Jihui Tu, et al.
International Journal of Remote Sensing (2018) Vol. 39, Iss. 22, pp. 7998-8021
Closed Access | Times Cited: 32
The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy
Sornkitja Boonprong, Chunxiang Cao, Wei Chen, et al.
ISPRS International Journal of Geo-Information (2018) Vol. 7, Iss. 7, pp. 274-274
Open Access | Times Cited: 28
The urgent need to develop a new grassland map in China: based on the consistency and accuracy of ten land cover products
Mengjing Hou, J. Ge, Yangjing Xiu, et al.
Science China Life Sciences (2022) Vol. 66, Iss. 2, pp. 385-405
Closed Access | Times Cited: 15
The 30 m land cover dataset for capturing land cover changes induced by ecological restoration from 1990 to 2022 on the Chinese Loess Plateau
Zhihui Wang, Xiaogang Shi, Shentang Dou, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
A Novel Change Detection Approach for Multi-Temporal High-Resolution Remote Sensing Images Based on Rotation Forest and Coarse-to-Fine Uncertainty Analyses
Wenqing Feng, Haigang Sui, Jihui Tu, et al.
Remote Sensing (2018) Vol. 10, Iss. 7, pp. 1015-1015
Open Access | Times Cited: 25
Cropland data fusion and correction using spatial analysis techniques and the Google Earth Engine
Kewei Li, Erqi Xu
GIScience & Remote Sensing (2020) Vol. 57, Iss. 8, pp. 1026-1045
Open Access | Times Cited: 21
Characterizing the Up-To-Date Land-Use and Land-Cover Change in Xiong’an New Area from 2017 to 2020 Using the Multi-Temporal Sentinel-2 Images on Google Earth Engine
Jiansong Luo, Xinwen Ma, Qifeng Chu, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 7, pp. 464-464
Open Access | Times Cited: 20
Adaptive Generalized Likelihood Ratio Test for Change Detection in SAR Images
Huifu Zhuang, Zhixiang Tan, Kazhong Deng, et al.
IEEE Geoscience and Remote Sensing Letters (2019) Vol. 17, Iss. 3, pp. 416-420
Closed Access | Times Cited: 20
Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss
Yuqi Xu, Ling Wu, Xiangnan Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 2
CBSASNet: A siamese network based on channel bias split attention for remote sensing change detection
Naiwei He, Liejun Wang, Panpan Zheng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-17
Open Access | Times Cited: 2
Improving Selection of Spectral Variables for Vegetation Classification of East Dongting Lake, China, Using a Gaofen-1 Image
Renfei Song, Hui Lin, Guangxing Wang, et al.
Remote Sensing (2017) Vol. 10, Iss. 1, pp. 50-50
Open Access | Times Cited: 18
Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover
Eduarda Martiniano de Oliveira Silveira, Michele Duarte de Menezes, Fausto Weimar Acérbi Júnior, et al.
Journal of Applied Remote Sensing (2017) Vol. 11, Iss. 3, pp. 036004-036004
Closed Access | Times Cited: 15

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