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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:

Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping
Weijia Li, Runmin Dong, Haohuan Fu, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111563-111563
Closed Access | Times Cited: 137

Showing 1-25 of 137 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: 1855
Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects
Liangyun Liu, Xiao Zhang, Yuan Gao, et al.
Journal of Remote Sensing (2021) Vol. 2021
Open Access | Times Cited: 181
Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods
Vahid Nasiri, Azade Deljouei, Fardin Moradi, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1977-1977
Open Access | Times Cited: 147
30 m annual land cover and its dynamics in China from 1990 to 2019
Jie Yang, Xin Huang
(2021)
Open Access | Times Cited: 136
Integrating remote sensing and geospatial big data for urban land use mapping: A review
Jiadi Yin, Jinwei Dong, Nicholas Hamm, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 103, pp. 102514-102514
Open Access | Times Cited: 130
U-Net-LSTM: Time Series-Enhanced Lake Boundary Prediction Model
Lirong Yin, Lei Wang, Tingqiao Li, et al.
Land (2023) Vol. 12, Iss. 10, pp. 1859-1859
Open Access | Times Cited: 118
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification
Yansheng Li, Yuhan Zhou, Yongjun Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 186, pp. 170-189
Closed Access | Times Cited: 96
SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data
Zhuohong Li, Wei He, Mofan Cheng, et al.
Earth system science data (2023) Vol. 15, Iss. 11, pp. 4749-4780
Open Access | Times Cited: 71
Enabling country-scale land cover mapping with meter-resolution satellite imagery
Xinyi Tong, Gui-Song Xia, Xiao Xiang Zhu
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 178-196
Open Access | Times Cited: 52
Assessing the impact of land use and cover change on above-ground carbon storage in subtropical forests: a case study of Zhejiang Province, China
Zihao Huang, Huaqiang Du, Fangjie Mao, et al.
Geo-spatial Information Science (2025), pp. 1-27
Open Access | Times Cited: 2
An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis
Santanu Dinda, Nilanjana Das Chatterjee, Subrata Ghosh
Ecological Indicators (2020) Vol. 121, pp. 107178-107178
Open Access | Times Cited: 98
Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020
Xiaoyu Meng, Xin Gao, Sen Li, et al.
Ecological Indicators (2021) Vol. 129, pp. 107908-107908
Open Access | Times Cited: 89
Predicting and mapping land cover/land use changes in Erbil /Iraq using CA-Markov synergy model
Nabaz R. Khwarahm, Sarchil Qader, Korsh Ararat, et al.
Earth Science Informatics (2020) Vol. 14, Iss. 1, pp. 393-406
Closed Access | Times Cited: 86
Mapping and assessment of flood risk in Prayagraj district, India: a GIS and remote sensing study
Amit Kumar Saha, Sonam Agrawal
Nanotechnology for Environmental Engineering (2020) Vol. 5, Iss. 2
Closed Access | Times Cited: 73
SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data
Zhuohong Li, Wei He, Mofan Cheng, et al.
(2023)
Open Access | Times Cited: 43
Real-time image-based air quality estimation by deep learning neural networks
Pu-Yun Kow, I-Wen Hsia, Li‐Chiu Chang, et al.
Journal of Environmental Management (2022) Vol. 307, pp. 114560-114560
Closed Access | Times Cited: 40
A novel weakly supervised semantic segmentation framework to improve the resolution of land cover product
Yujia Chen, Guo Zhang, Hao Cui, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 73-92
Closed Access | Times Cited: 35
A deep learning-based super-resolution method for building height estimation at 2.5 m spatial resolution in the Northern Hemisphere
Yinxia Cao, Qihao Weng
Remote Sensing of Environment (2024) Vol. 310, pp. 114241-114241
Open Access | Times Cited: 12
Global high categorical resolution land cover mapping via weak supervision
Xinyi Tong, Runmin Dong, Xiao Xiang Zhu
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 535-549
Open Access | Times Cited: 1
Land-Use Land-Cover Dynamics and Future Projections Using GEE, ML, and QGIS-MOLUSCE: A Case Study in Manisa
Halil İbrahim Gündüz
Sustainability (2025) Vol. 17, Iss. 4, pp. 1363-1363
Open Access | Times Cited: 1
Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China
Xiaoai Dai, Brian Johnson, Penglan Luo, et al.
Remote Sensing (2021) Vol. 13, Iss. 2, pp. 207-207
Open Access | Times Cited: 48
Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau
Senyao Feng, Wenlong Li, Jing Xu, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5361-5361
Open Access | Times Cited: 37
Land-Use and Land-Cover Classification in Semi-Arid Areas from Medium-Resolution Remote-Sensing Imagery: A Deep Learning Approach
Kamran Ali, Brian Johnson
Sensors (2022) Vol. 22, Iss. 22, pp. 8750-8750
Open Access | Times Cited: 30
MSCDUNet: A Deep Learning Framework for Built-Up Area Change Detection Integrating Multispectral, SAR, and VHR Data
Haoyang Li, Fangjie Zhu, Xiaoyu Zheng, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 5163-5176
Open Access | Times Cited: 29
Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine
Wenbin Liu, Hongyan Zhang
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 117, pp. 103198-103198
Open Access | Times Cited: 20
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