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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:

Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms
Andrea Tassi, Marco Vizzari
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3776-3776
Open Access | Times Cited: 277

Showing 26-50 of 277 citing articles:

Machine Learning Algorithms for Satellite Image Classification Using Google Earth Engine and Landsat Satellite Data: Morocco Case Study
Hafsa Ouchra, Abdessamad Belangour, Allae Erraissi
IEEE Access (2023) Vol. 11, pp. 71127-71142
Open Access | Times Cited: 26
Comparison of high-resolution NAIP and unmanned aerial vehicle (UAV) imagery for natural vegetation communities classification using machine learning approaches
Parth Bhatt, Ann L. Maclean
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 24
Land use land cover simulations using integrated CA-Markov model in the Tawi Basin of Jammu and Kashmir India
Ajay Kumar Taloor, Savati Sharma, Gurnam Parsad, et al.
Geosystems and Geoenvironment (2024) Vol. 3, Iss. 2, pp. 100268-100268
Open Access | Times Cited: 13
Vegetation Classification and Evaluation of Yancheng Coastal Wetlands Based on Random Forest Algorithm from Sentinel-2 Images
Yongjun Wang, Shuanggen Jin, Gino Dardanelli
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1124-1124
Open Access | Times Cited: 13
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
The role of informal ruralization within China’s rapid urbanization
Wang Hanxi
Nature Cities (2024) Vol. 1, Iss. 3, pp. 205-215
Open Access | Times Cited: 11
Scenario-Based Land Use and Land Cover Change Detection and Prediction Using the Cellular Automata–Markov Model in the Gumara Watershed, Upper Blue Nile Basin, Ethiopia
Haile Belay, Assefa M. Melesse, Getachew Tegegne
Land (2024) Vol. 13, Iss. 3, pp. 396-396
Open Access | Times Cited: 8
Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm
Fugen Jiang, Feng Zhao, Kaisen Ma, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1535-1535
Open Access | Times Cited: 50
Mapping Land Use/Cover Dynamics of the Yellow River Basin from 1986 to 2018 Supported by Google Earth Engine
Qiulei Ji, Wei Liang, Bojie Fu, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1299-1299
Open Access | Times Cited: 47
Spatio-temporal classification and prediction of land use and land cover change for the Vembanad Lake system, Kerala: a machine learning approach
Parthasarathy Kulithalai Shiyam Sundar, Paresh Chandra Deka
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 57, pp. 86220-86236
Closed Access | Times Cited: 44
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: 35
ELULC-10, a 10 m European Land Use and Land Cover Map Using Sentinel and Landsat Data in Google Earth Engine
S. Mohammad Mirmazloumi, Mohammad Kakooei, Farzane Mohseni, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3041-3041
Open Access | Times Cited: 32
Google Earth Engine for Informal Settlement Mapping: A Random Forest Classification Using Spectral and Textural Information
Dadirai Matarira, Onisimo Mutanga, Maheshvari Naidu
Remote Sensing (2022) Vol. 14, Iss. 20, pp. 5130-5130
Open Access | Times Cited: 32
Mapping Winter Wheat with Optical and SAR Images Based on Google Earth Engine in Henan Province, China
Changchun Li, Weinan Chen, Yilin Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 284-284
Open Access | Times Cited: 29
Bahamian seagrass extent and blue carbon accounting using Earth Observation
Alina Blume, Avi Putri Pertiwi, Chengfa Benjamin Lee, et al.
Frontiers in Marine Science (2023) Vol. 10
Open Access | Times Cited: 18
Land Use and Land Cover Mapping with VHR and Multi-Temporal Sentinel-2 Imagery
Suzanna Cuypers, Andrea Nascetti, Maarten Vergauwen
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2501-2501
Open Access | Times Cited: 17
Exploring the nexus between land cover change dynamics and spatial heterogeneity of demographic trajectories in rapidly growing ecosystems of south Asian cities
Md Tanvir Miah, Jannatun Nahar Fariha, Abdulla ‐ Al Kafy, et al.
Ecological Indicators (2023) Vol. 158, pp. 111299-111299
Open Access | Times Cited: 17
Using PRISMA Hyperspectral Data for Land Cover Classification with Artificial Intelligence Support
Gabriele Delogu, Eros Caputi, Miriam Perretta, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13786-13786
Open Access | Times Cited: 16
The Role of Tourism Planning in Land-Use/Land-Cover Changes in the Kızkalesi Tourism Destination
Yasemin Sarıkaya Levent, Ezgi Şahin, Tolga Levent
Land (2024) Vol. 13, Iss. 2, pp. 151-151
Open Access | Times Cited: 7
Plastic-covered greenhouses mapping in Morocco with Google Earth engine: Comparing Sentinel-2 and Landsat-8 data using pixel- and object-based methods
Siham Acharki, Bijeesh Kozhikkodan Veettil, Marco Vizzari
Remote Sensing Applications Society and Environment (2024) Vol. 34, pp. 101158-101158
Closed Access | Times Cited: 7
Crop mapping in smallholder farms using unmanned aerial vehicle imagery and geospatial cloud computing infrastructure
Shaeden Gokool, Maqsooda Mahomed, Kiara Brewer, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e26913-e26913
Open Access | Times Cited: 7
Novel comprehensions of lithological and structural features gleaned via Sentinel 2 texture analysis
Ali Shebl, Mohamed Badawi, Maher Dawoud, et al.
Ore Geology Reviews (2024) Vol. 168, pp. 106068-106068
Open Access | Times Cited: 7
Crop classification in Google Earth Engine: leveraging Sentinel-1, Sentinel-2, European CAP data, and object-based machine-learning approaches
Marco Vizzari, Giacomo Lesti, Siham Acharki
Geo-spatial Information Science (2024), pp. 1-16
Open Access | Times Cited: 6
Quantifying spatial dynamics of urban sprawl for climate resilience sustainable natural resource management by utilizing geostatistical and remote sensing techniques
Jannatun Nahar Fariha, Md Tanvir Miah, Zamil Ahamed Limon, et al.
Theoretical and Applied Climatology (2024) Vol. 155, Iss. 7, pp. 6307-6349
Closed Access | Times Cited: 6
Modeling of land use and land cover changes using google earth engine and machine learning approach: implications for landscape management
Weynshet Tesfaye, Eyasu Elias, Bikila Warkineh, et al.
ENVIRONMENTAL SYSTEMS RESEARCH (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 6

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