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:

Land Use/Land Cover Mapping Using Multitemporal Sentinel-2 Imagery and Four Classification Methods—A Case Study from Dak Nong, Vietnam
Huong Thi Thanh Nguyen, Trung Minh Doan, Erkki Tomppo, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1367-1367
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

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: 73

Monitoring oil spill in Norilsk, Russia using satellite data
Sankaran Rajendran, Fadhil Sadooni, Hamad Al-Saad Al-Kuwari, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 61

PlanetScope contributions compared to Sentinel-2, and Landsat-8 for LULC mapping
Siham Acharki
Remote Sensing Applications Society and Environment (2022) Vol. 27, pp. 100774-100774
Closed Access | Times Cited: 47

Developments in Land Use and Land Cover Classification Techniques in Remote Sensing: A Review
Lucrêncio Silvestre Macarringue, Édson Luís Bolfe, Paulo Roberto Mendes Pereira
Journal of Geographic Information System (2022) Vol. 14, Iss. 01, pp. 1-28
Open Access | Times Cited: 40

Evaluating a new method of remote sensing for flood mapping in the urban and peri-urban areas: Applied to Addis Ababa and the Akaki catchment in Ethiopia
Tilaye Worku Bekele, Alemseged Tamiru Haile, Mark A. Trigg, et al.
Natural Hazards Research (2022) Vol. 2, Iss. 2, pp. 97-110
Open Access | Times Cited: 28

Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets
Alice Cavalli, Saverio Francini, Ronald E. McRoberts, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 923-923
Open Access | Times Cited: 17

Utilizing Multitemporal Indices and Spectral Bands of Sentinel-2 to Enhance Land Use and Land Cover Classification with Random Forest and Support Vector Machine
Atefe Arfa, Masoud Minaei
Advances in Space Research (2024) Vol. 74, Iss. 11, pp. 5580-5590
Closed Access | Times Cited: 7

Aboveground biomass estimation in a grassland ecosystem using Sentinel-2 satellite imagery and machine learning algorithms
Andisani Netsianda, Paidamwoyo Mhangara
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 2
Open Access

Design-based mapping of errors in remote sensing-based land use/land cover maps
Rosa Maria Di Biase, Agnese Marcelli, Piermaria Corona, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Open Access

Technologies and Methods for Land Use and Land Cover: A Comprehensive Review
Ruchi Dangayach, Ashutosh Kumar Pandey
Advances in geographical and environmental sciences (2025), pp. 369-390
Closed Access

Evaluation of classification algorithms for land use land cover mapping in the snow-fed Alaknanda River Basin of the Northwest Himalayan Region
Gagandeep Singh, Ashish Pandey
Applied Geomatics (2021) Vol. 13, Iss. 4, pp. 863-875
Closed Access | Times Cited: 32

Monitoring Forest Cover Dynamics Using Orthophotos and Satellite Imagery
Lucían Blaga, Dorina Camelia Ilieș, Jan A. Wendt, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3168-3168
Open Access | Times Cited: 13

Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications
Susan L. Ustin, Elizabeth M. Middleton
Sensors (2024) Vol. 24, Iss. 11, pp. 3488-3488
Open Access | Times Cited: 4

Evaluating the performance of deep learning-based segmentation algorithms for land use land cover mapping in a heterogenous vegetative environment
İskender Berkay Sür, Uğur Algancı, Elif Sertel
International Journal of Engineering and Geosciences (2025) Vol. 10, Iss. 3, pp. 380-397
Open Access

An Accuracy Analysis Comparison of Supervised Classification Methods for Mapping Land Cover Using Sentinel 2 Images in the Al‑Hawizeh Marsh Area, Southern Iraq
Nadia A. Aziz, Imzahim A. Alwan
Geomatics and Environmental Engineering (2021) Vol. 15, Iss. 1, pp. 5-21
Open Access | Times Cited: 27

The Three Indices Three Dimensions (3I3D) algorithm: a new method for forest disturbance mapping and area estimation based on optical remotely sensed imagery
Saverio Francini, Ronald E. McRoberts, Francesca Giannetti, et al.
International Journal of Remote Sensing (2021) Vol. 42, Iss. 12, pp. 4693-4711
Closed Access | Times Cited: 27

Historical trends of degradation, loss, and recovery in the tropical forest reserves of Ghana
Michael C. Wimberly, Francis K. Dwomoh, Izaya Numata, et al.
International Journal of Digital Earth (2022) Vol. 15, Iss. 1, pp. 30-51
Open Access | Times Cited: 21

Machine learning based combinatorial analysis for land use and land cover assessment in Kyiv City (Ukraine)
Vadym Belenok, Liliia Hebryn-Baidy, Nataliia Bіelousova, et al.
Journal of Applied Remote Sensing (2023) Vol. 17, Iss. 01
Open Access | Times Cited: 11

Using Landsat satellite imagery for assessment and monitoring of long-term forest cover changes in Dak Nong province, Vietnam
Bui Bao Thien, Vu Thi Phuong
Geographica Pannonica (2023) Vol. 27, Iss. 1, pp. 69-82
Open Access | Times Cited: 11

Assessment of Landscape Change and its Relationships with Surface Temperature and Geo-spatial Indices during 1992 - 2022 at Haldia Industrial Region, West Bengal, India
Shyampada Karan, Swati Mandal, Suman Das
Knowledge-Based Engineering and Sciences (2024) Vol. 5, Iss. 2, pp. 54-74
Open Access | Times Cited: 3

RUESVMs: An Ensemble Method to Handle the Class Imbalance Problem in Land Cover Mapping Using Google Earth Engine
Amin Naboureh, Hamid Ebrahimy, Mohsen Azadbakht, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3484-3484
Open Access | Times Cited: 29

Sentinel 1 and Sentinel 2 for cropland mapping with special emphasis on the usability of textural and vegetation indices
Swadhina Koley, C. Jeganathan
Advances in Space Research (2021) Vol. 69, Iss. 4, pp. 1768-1785
Closed Access | Times Cited: 24

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