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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:

Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery
Wuttichai Boonpook, Yumin Tan, Attawut Nardkulpat, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 1, pp. 14-14
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Land use land cover mapping and snow cover detection in Himalayan region using machine learning and multispectral Sentinel-2 satellite imagery
Rashmi Saini, S.R.K. Singh
International Journal of Information Technology (2024) Vol. 16, Iss. 2, pp. 675-686
Closed Access | Times Cited: 13
Harnessing Time-Series Satellite Data and Deep Learning to Monitor Historical Patterns of Deforestation in Eastern Himalayan Foothills of India
Jintu Moni Bhuyan, Subrata Nandy, Hitendra Padalia, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access | Times Cited: 1
A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria
Polina Lemenkova
Applied System Innovation (2023) Vol. 6, Iss. 4, pp. 61-61
Open Access | Times Cited: 14
ENVINet5 deep learning change detection framework for the estimation of agriculture variations during 2012–2023 with Landsat series data
Gurwinder Singh, Neelam Dahiya, Vishakha Sood, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 3
Closed Access | Times Cited: 5
Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Anam Nigar, Yang Li, Muhammad Yousuf Jat Baloch, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 4
A Systematic Literature Review and Bibliometric Analysis of Semantic Segmentation Models in Land Cover Mapping
Segun Ajibola, Pedro Cabral
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2222-2222
Open Access | Times Cited: 4
Prediction of Land Image Classification using Squeeze Synchronization layer and Convolve Craft Focus Module in ResNet 101 Model
F Çelik, Kemal Çelik
International Journal of Engineering and Geosciences (2025) Vol. 10, Iss. 2, pp. 197-206
Open Access
Semantic Segmentation for Vision and Intelligence
Junhao Song, Junjie Yang, Bowen Jing, et al.
(2025)
Closed Access
Semantic Segmentation for Simultaneous Crop and Land Cover Land Use Classification Using Multi-Temporal Landsat Imagery
Saman Ebrahimi, Saurav Kumar
Remote Sensing Applications Society and Environment (2025), pp. 101505-101505
Closed Access
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
Machine Learning-based Spatio-Temporal Assessment of Land Use/Land Cover Change in Barishal District of Bangladesh between 1988 and 2024
Walida Zaman, H Rainak Khan Real
Environmental Challenges (2025), pp. 101168-101168
Open Access
Deep Learning-Driven Soil Texture Classifier using Landsat 8 Images
Suneetha Chittineni, Lakshmi Sutha Kumar, K. Sreenivas, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101568-101568
Closed Access
A novel deep learning change detection approach for estimating spatiotemporal crop field variations from Sentinel-2 imagery
Neelam Dahiya, Gurwinder Singh, Dileep Kumar Gupta, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 35, pp. 101259-101259
Closed Access | Times Cited: 2
A Review and Meta-analysis of Semantic Segmentation Models in Land Use/ Land Cover Mapping
Segun Ajibola, Pedro Cabral
(2024)
Open Access | Times Cited: 1
Automatic topology and capacity generation framework for urban drainage systems with deep learning-based land use segmentation and hydrological characterization
Qisheng Zhong, Zuxiang Situ, Qianqian Zhou, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131766-131766
Closed Access | Times Cited: 1
Land Cover Segmentation in Satellite Images Using Transfer Learning
K. Kalaivani, C. S. Kanimozhi Selvi, Mohamed Bilal Z H, et al.
(2024), pp. 714-724
Closed Access | Times Cited: 1
Multi-Index Drought Analysis in Choushui River Alluvial Fan, Taiwan
Youg-Sin Cheng, J. Lu, Hsin‐Fu Yeh
Environments (2024) Vol. 11, Iss. 11, pp. 233-233
Open Access | Times Cited: 1
Clustering Analysis of Integrated Rural Land for Three Industries Using Deep Learning and Artificial Intelligence
Qian Huang, Haibin Xia, Zhancheng Zhang
IEEE Access (2023) Vol. 11, pp. 110530-110543
Open Access | Times Cited: 3
Land Cover Classification Using Remote Sensing and Supervised Convolutional Neural Networks
Jheison Perez-Guerra, Veronica Herrera-Ruiz, Juan Carlos Gonzalez-Velez, et al.
Communications in computer and information science (2023), pp. 13-24
Closed Access | Times Cited: 2
Drainnetautogen: Automatic Urban Drainage Network Generation with Deep Learning-Based Landuse Segmentation and Hydrological Characterization
Qisheng Zhong, Zuxiang Situ, Qianqian Zhou, et al.
(2024)
Closed Access
Contextual band addition and multi-look inferencing to improve semantic segmentation model performance on satellite images
Syed Roshaan Ali Shah, Obaid ur Rehman, Yasir Shabbir, et al.
Journal of Spatial Science (2024) Vol. 69, Iss. 3, pp. 849-872
Closed Access
A NOVEL TRANSFER LEARNING BASED DEEP MODEL FOR LAND CLASSIFICATION
Ashish V. Nimavat
Deleted Journal (2024) Vol. 20, Iss. 3, pp. 2089-2096
Open Access
A Unified Super-Resolution Framework of Remote-Sensing Satellite Images Classification Based on Information Fusion of Novel Deep Convolutional Neural Network Architectures
Hussain Mobarak Albarakati, Shams Ur Rehman, Muhammad Attique Khan, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14421-14436
Open Access
Improving Land Cover Change Detection Using YOLO Segmentation and Comparative Polygon Analysis
George Elkess Abanoub, Seif Elmoushy, Abdelrahman Ezzeldin Nagib, et al.
(2024) Vol. abs/1511.00561, pp. 70-75
Closed Access
Automatic Recognition of Illegal Substations by Employing Logit-Boost Algorithm and LSTM With the Help of Different Landsat-8 OLI Image Spectral Band Parameters: A Case Study in Sason, Turkey
Emrullah Acar, Enes BakiŞ, Musa Yılmaz
IEEE Access (2023) Vol. 11, pp. 112293-112306
Open Access | Times Cited: 1
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