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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:

Detecting the dynamics of vegetation disturbance and recovery in surface mining area via Landsat imagery and LandTrendr algorithm
Yongjun Yang, Peter D. Erskine, Alex M. Lechner, et al.
Journal of Cleaner Production (2018) Vol. 178, pp. 353-362
Closed Access | Times Cited: 170

Showing 1-25 of 170 citing articles:

Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Junye Wang, Michael Bretz, M. Ali Akber Dewan, et al.
The Science of The Total Environment (2022) Vol. 822, pp. 153559-153559
Closed Access | Times Cited: 244
Remote sensing annual dynamics of rapid permafrost thaw disturbances with LandTrendr
Alexandra Runge, Ingmar Nitze, Guido Grosse
Remote Sensing of Environment (2021) Vol. 268, pp. 112752-112752
Open Access | Times Cited: 109
Demystifying LandTrendr and CCDC temporal segmentation
Valerie J. Pasquarella, Paulo Arévalo, Kelsee H. Bratley, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 110, pp. 102806-102806
Open Access | Times Cited: 104
Impact of mining on land use land cover change and water quality in the Asutifi North District of Ghana, West Africa
Divine Dodzi Gbedzi, Eric Antwi Ofosu, Eric Mensah Mortey, et al.
Environmental Challenges (2022) Vol. 6, pp. 100441-100441
Open Access | Times Cited: 74
Global mining footprint mapped from high-resolution satellite imagery
Liang Tang, Tim T. Werner
Communications Earth & Environment (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 62
A 2020 forest age map for China with 30 m resolution
Kai Cheng, Yu‐Ling Chen, Tianyu Xiang, et al.
Earth system science data (2024) Vol. 16, Iss. 2, pp. 803-819
Open Access | Times Cited: 20
Ecological methods and indicators for recovering and monitoring ecosystems after mining: A global literature review
Walmer Bruno Rocha Martins, Michael Douglas Roque Lima, Udson de Oliveira Barros, et al.
Ecological Engineering (2020) Vol. 145, pp. 105707-105707
Open Access | Times Cited: 128
Assessing impacts of mining: Recent contributions from GIS and remote sensing
Tim T. Werner, Anthony Bebbington, Gillian Gregory
The Extractive Industries and Society (2019) Vol. 6, Iss. 3, pp. 993-1012
Closed Access | Times Cited: 122
Tempo-spatial changes and main anthropogenic influence factors of vegetation fractional coverage in a large-scale opencast coal mine area from 1992 to 2015
Min Zhang, Jinman Wang, Sijia Li
Journal of Cleaner Production (2019) Vol. 232, pp. 940-952
Closed Access | Times Cited: 118
Identification of waterlogging in Eastern China induced by mining subsidence: A case study of Google Earth Engine time-series analysis applied to the Huainan coal field
Tingting He, Wu Xiao, Zhao Yanling, et al.
Remote Sensing of Environment (2020) Vol. 242, pp. 111742-111742
Closed Access | Times Cited: 93
Near-real time forest change detection using PlanetScope imagery
Saverio Francini, Ronald E. McRoberts, Francesca Giannetti, et al.
European Journal of Remote Sensing (2020) Vol. 53, Iss. 1, pp. 233-244
Open Access | Times Cited: 77
Mapping Annual Land Disturbance and Reclamation in a Surface Coal Mining Region Using Google Earth Engine and the LandTrendr Algorithm: A Case Study of the Shengli Coalfield in Inner Mongolia, China
Wu Xiao, Xinyu Deng, Tingting He, et al.
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1612-1612
Open Access | Times Cited: 73
Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and LandTrendr-Google Earth Engine Cloud Computing
Theodomir Mugiraneza, Andrea Nascetti, Yifang Ban
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2883-2883
Open Access | Times Cited: 72
Integrating GEDI and Landsat: Spaceborne Lidar and Four Decades of Optical Imagery for the Analysis of Forest Disturbances and Biomass Changes in Italy
Saverio Francini, Giovanni D’Amico, Elia Vangi, et al.
Sensors (2022) Vol. 22, Iss. 5, pp. 2015-2015
Open Access | Times Cited: 60
Multi-objective land use optimization based on integrated NSGA–II–PLUS model: Comprehensive consideration of economic development and ecosystem services value enhancement
Chaoxu Luan, Renzhi Liu, Qiyang Zhang, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 140306-140306
Closed Access | Times Cited: 31
Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenario forecasting
Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 11
Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review
P. McKenna, Alex M. Lechner, Stuart Phinn, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3535-3535
Open Access | Times Cited: 67
Mapping the cumulative impacts of long-term mining disturbance and progressive rehabilitation on ecosystem services
Zhenyu Wang, Alex M. Lechner, Yongjun Yang, et al.
The Science of The Total Environment (2020) Vol. 717, pp. 137214-137214
Closed Access | Times Cited: 64
Spatial distribution of the impact of surface mining on the landscape ecological health of semi-arid grasslands
Zhenhua Wu, Shaogang Lei, Qingqing Lu, et al.
Ecological Indicators (2019) Vol. 111, pp. 105996-105996
Closed Access | Times Cited: 58
Application of Landsat-derived vegetation trends over South Africa: Potential for monitoring land degradation and restoration
Zander S. Venter, Samantha Scott, Philip Desmet, et al.
Ecological Indicators (2020) Vol. 113, pp. 106206-106206
Open Access | Times Cited: 58
Effects of Climate Change on Land Cover Change and Vegetation Dynamics in Xinjiang, China
Haochen Yu, Zhengfu Bian, Shouguo Mu, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 13, pp. 4865-4865
Open Access | Times Cited: 51
Mining and socio-ecological systems: A systematic review of Sub-Saharan Africa
Xavier Takam Tiamgne, Felix Kanungwe Kalaba, Vincent R. Nyirenda
Resources Policy (2022) Vol. 78, pp. 102947-102947
Closed Access | Times Cited: 38
Automatically identifying the vegetation destruction and restoration of various open-pit mines utilizing remotely sensed images: Auto-VDR
Yaling Xu, Li Guo, Jun Li, et al.
Journal of Cleaner Production (2023) Vol. 414, pp. 137490-137490
Closed Access | Times Cited: 22
Assessing the effect, attribution, and potential of vegetation restoration in open-pit coal mines’ dumping sites during 2003–2020 utilizing remote sensing
Chengye Zhang, Feiyue Li, Jun Li, et al.
Ecological Indicators (2023) Vol. 155, pp. 111003-111003
Open Access | Times Cited: 17
Exploring the restoration stability of abandoned open-pit mines by vegetation resilience indicator based on the LandTrendr algorithm
Jingyi Xie, Yunxuan Liu, Miaomiao Xie, et al.
Ecological Indicators (2024) Vol. 166, pp. 112392-112392
Open Access | Times Cited: 7
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