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:

A multinomial logistic model-based land use and land cover classification for the South Asian Association for Regional Cooperation nations using Moderate Resolution Imaging Spectroradiometer product
R. K. Singh, Vinay Shankar Prasad Sinha, P. K. Joshi, et al.
Environment Development and Sustainability (2020) Vol. 23, Iss. 4, pp. 6106-6127
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Development of a map for land use and land cover classification of the Northern Border Region using remote sensing and GIS
Abdulbasit A. Darem, Asma A. Alhashmi, Aloyoun M. Almadani, et al.
The Egyptian Journal of Remote Sensing and Space Science (2023) Vol. 26, Iss. 2, pp. 341-350
Open Access | Times Cited: 44

Mapping Phenological Functional Types (PhFT) in the Indian Eastern Himalayas using machine learning algorithm in Google Earth Engine
Manoj Kumar, Sweta Nisha Phukon, Akshay Paygude, et al.
Computers & Geosciences (2021) Vol. 158, pp. 104982-104982
Closed Access | Times Cited: 65

Classification of land use/land cover using artificial intelligence (ANN-RF)
Eman A. Alshari, Mohammed Basil Abdulkareem, Bharti W. Gawali
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 26

Understanding the Ecological Health Status of a Semi-Arid and Arid Region of Saudi Arabia in the Era of Rapid Urbanization
Javed Mallick, Saeed Alqadhi, Meshel Q. Alkahtani
Earth Systems and Environment (2025)
Closed Access | Times Cited: 1

A machine learning-based classification of LANDSAT images to map land use and land cover of India
R. K. Singh, Prafull Singh, Martin Drews, et al.
Remote Sensing Applications Society and Environment (2021) Vol. 24, pp. 100624-100624
Closed Access | Times Cited: 47

Indicator based assessment of food security in SAARC nations under the influence of climate change scenarios
R. K. Singh, P. K. Joshi, Vinay Shankar Prasad Sinha, et al.
Future Foods (2022) Vol. 5, pp. 100122-100122
Open Access | Times Cited: 28

Modeling Land Use Change in Sana’a City of Yemen with MOLUSCE
Eman A. Alshari, Bharti W. Gawali
Journal of Sensors (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 24

Remote sensing and machine learning in vegetation phenology studies
Masooma Suleman, Peter A. Khaiter
Elsevier eBooks (2025), pp. 373-403
Closed Access

Long-Term Impact of Transhumance Pastoralism and Associated Disturbances in High-Altitude Forests of Indian Western Himalaya
Shiekh Marifatul Haq, Umer Yaqoob, Eduardo Soares Calixto, et al.
Sustainability (2021) Vol. 13, Iss. 22, pp. 12497-12497
Open Access | Times Cited: 19

Analysis of Machine Learning Techniques for Sentinel-2A Satellite Images
Eman A. Alshari, Bharti W. Gawali
Journal of Electrical and Computer Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 13

Socio‐Economic Impacts of Climate Change
Shubhi Patel, Anwesha Dey, Shani Kumar Singh, et al.
(2021), pp. 237-267
Closed Access | Times Cited: 11

Unveiling the green guardians: Mapping and identification of Azadirachta indica trees with semantic segmentation deep learning neural network technique
Pankaj Lavania, R. K. Singh, Pavan Kumar, et al.
The Egyptian Journal of Remote Sensing and Space Science (2024) Vol. 27, Iss. 3, pp. 491-500
Open Access | Times Cited: 1

Mapping total suspended matter along Moroccan coast using satellite data series
Hind Azidane, Soufiane Haddout, Kamal Aldien Alawad, et al.
Modeling Earth Systems and Environment (2021) Vol. 8, Iss. 2, pp. 1683-1692
Closed Access | Times Cited: 10

Role of Geospatial Technologies in Natural Resource Management
Abhishek K. Kala, Manoj Kumar
(2021), pp. 19-34
Closed Access | Times Cited: 9

Microbiological status of drinking water sources and its relationship with human health in Solan, India
Ajay Kumar Singh, Satish Kumar Bhardwaj, Sunita Devi
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 1
Closed Access | Times Cited: 8

Identifikasi Penggunaan Lahan Menggunakan Citra Resolusi Tinggi di Titik Nol Kawasan Ekonomi Khusus Mandalika
Zuhdiyah Matienatul Iemaaniah, Nur Asri Shakila, Mukminah, et al.
JPIG (Jurnal Pendidikan dan Ilmu Geografi) (2023) Vol. 8, Iss. 2, pp. 144-154
Open Access | Times Cited: 2

Land Use and Land Cover Mapping using Multi-temporal Sentinel-1 Data and Machine Learning
Erwin L. Cahapin, Arnel C. Fajardo
(2023)
Closed Access | Times Cited: 2

Mapping and Identification of Trees Using Semantic Segmentation Deep Learning Neural Network
R. K. Singh, Agnish Kumar Das, Harshi Jain, et al.
(2022), pp. 385-398
Closed Access | Times Cited: 3

Spatio-temporal analysis and prediction of land use land cover (LULC) change in Wular Lake, Jammu and Kashmir, India
Monia Digra, Renu Dhir, Nonita Sharma
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 9
Closed Access

Investigating the Damage from the February 6, 2023 Earthquakes in Terms of Building Characteristics in the Antakya and Defne Districts of Hatay Province
Adem Sakarya, Oya Akın, Ali Rıza KILIÇ
International Journal of Disaster Risk Reduction (2024) Vol. 112, pp. 104783-104783
Closed Access

Geospatial Techniques for Mapping Land Degradation Vulnerability in a Hot Arid Agroecosystem of India
Brijesh Kumar Yadav, Pravash Chandra Moharana, Lal Chand Malav, et al.
(2024), pp. 201-217
Closed Access

Sustainable Land Management: Opportunities and Challenges
Gaurav Mishra, Krishna Giri, Sanjay Singh, et al.
(2024), pp. 1-17
Closed Access

Data mining techniques for LULC analysis using sparse labels and multisource data integration for the hilly terrain of Nilgiris district, Tamil Nadu, India
R. Kumaraperumal, M. Nivas Raj, S. Pazhanivelan, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access

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