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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 for the prediction and classification of land use and land cover changes using deep convolutional neural network
J. Jagannathan, C. Divya
Ecological Informatics (2021) Vol. 65, pp. 101412-101412
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades
Danlin Yu, Chuanglin Fang
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1307-1307
Open Access | Times Cited: 55
Prediction of summer daytime land surface temperature in urban environments based on machine learning
Qianchuan Li, Hao Zheng
Sustainable Cities and Society (2023) Vol. 97, pp. 104732-104732
Closed Access | Times Cited: 25
Investigate the effects of urban land use on PM2.5 concentration: An application of deep learning simulation
Liyuan Zhao, Ming Zhang, Si Cheng, et al.
Building and Environment (2023) Vol. 242, pp. 110521-110521
Closed Access | Times Cited: 18
Identifying the drivers of land expansion and evaluating multi-scenario simulation of land use: A case study of Mashan County, China
Shuai Chen, Shunbo Yao
Ecological Informatics (2023) Vol. 77, pp. 102201-102201
Closed Access | Times Cited: 18
Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images
Mohammed Aljebreen, Hanan Abdullah Mengash, Mohammad Alamgeer, et al.
IEEE Access (2024) Vol. 12, pp. 11147-11156
Open Access | Times Cited: 6
Spatial-temporal patterns of urban land use efficiency in china’s national special economic parks
Di Yang, Weixin Luan
Ecological Indicators (2024) Vol. 163, pp. 111959-111959
Open Access | Times Cited: 4
Soft Computing Paradigm for Climate Change Adaptation and Mitigation in Iran, Pakistan, and Turkey: A Systematic Review
Muhammad Talha, A. Pouyan Nejadhashemi, Kieron Moller
Heliyon (2025) Vol. 11, Iss. 2, pp. e41974-e41974
Open Access
Cooling intensity of hybrid landscapes in a metropolitan area: Relative contribution and marginal effect
Junda Huang, Yuncai Wang
Sustainable Cities and Society (2022) Vol. 79, pp. 103725-103725
Closed Access | Times Cited: 21
Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata
Yao Yao, Kun Zhou, Chenxi Liu, et al.
Cities (2024) Vol. 149, pp. 104975-104975
Closed Access | Times Cited: 3
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: 3
Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints
Saeideh Maleki, Nicolas Baghdadi, Cássio F. Dantas, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 8884-8899
Open Access | Times Cited: 8
Land use/land cover change classification and prediction using deep learning approaches
P. Adlene Ebenezer, Manohar Shamaiah
Signal Image and Video Processing (2023) Vol. 18, Iss. 1, pp. 223-232
Closed Access | Times Cited: 8
A novel alpine land cover classification strategy based on a deep convolutional neural network and multi-source remote sensing data in Google Earth Engine
Yang Qichi, Lihui Wang, Huang Jin-liang, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 5
Application of the domain adaptation method using a phenological classification framework for the land-cover classification of North Korea
Joon Kim, Hyun‐Woo Jo, Whijin Kim, et al.
Ecological Informatics (2024) Vol. 81, pp. 102576-102576
Open Access | Times Cited: 1
Fusing Multispectral and LiDAR Data for CNN-Based Semantic Segmentation in Semi-Arid Mediterranean Environments: Land Cover Classification and Analysis
Athanasia Chroni, Christos Vasilakos, Marianna Christaki, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2729-2729
Open Access | Times Cited: 1
Utilizing deep transfer learning to discover changes in landscape patterns in urban wetland parks based on multispectral remote sensing
Chao Liu, Xiuhe Yuan, Guoqing Ni, et al.
Ecological Informatics (2024) Vol. 83, pp. 102808-102808
Open Access | Times Cited: 1
Leveraging involution and convolution in an explainable building damage detection framework
Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot, et al.
European Journal of Remote Sensing (2023) Vol. 56, Iss. 1
Open Access | Times Cited: 3
Prediction of Land Use and Landcover Changes in Tiruppur Tamilnadu Using Hybrid Convolutional Neural Network
Sathyanarayan Sridhar
Global NEST Journal (2023)
Open Access | Times Cited: 2
First woody cover vegetation map of Kruger National Park in 1939–1944: Evidence from historical black and white aerial photography
Tullia Riccardi, Benjamin J. Wigley, L. Kleyn, et al.
Ecological Informatics (2024) Vol. 81, pp. 102590-102590
Open 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
Downstream lingering attention transformer network (DsLATNet) for land use land cover classification: A bicolor deep learning framework
V. Anitha, D. Manimegalai, S. Kalaiselvi
Applied Soft Computing (2024) Vol. 165, pp. 112074-112074
Closed Access
Climate-driven stock accounts of inland Green-Blue Ecosystems: Coupling the carbon and water cycles via Reverse Engineering and Geodetectors
Bruna Almeida, Luís Monteiro, Pierre Scemama, et al.
Research Square (Research Square) (2024)
Open Access
Land Use Classification using Time-Series Sentinel-2 Images with Deep Learning Ensemble Network
J. Jagannathan, M. Thanjai Vadivel, C. Divya
Research Square (Research Square) (2024)
Closed Access
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
Forest Gap Extraction Based on Convolutional Neural Networks and Sentinel-2 Images
M. S. Li, Mingshi Li
Forests (2023) Vol. 14, Iss. 11, pp. 2146-2146
Open Access | Times Cited: 1
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