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:

Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
Pablo Pozzobon de, Osmar Abílio de Carvalho Júnior, Renato Fontes Guimarães, et al.
Remote Sensing (2020) Vol. 12, Iss. 6, pp. 901-901
Open Access | Times Cited: 198

Showing 26-50 of 198 citing articles:

Domain Adaptive and Interactive Differential Attention Network for Remote Sensing Image Change Detection
Yuliang Ji, Weiwei Sun, Yumiao Wang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 9

Classification of Landscape Affected by Deforestation Using High-Resolution Remote Sensing Data and Deep-Learning Techniques
Seong-Hyeok Lee, Kukjin Han, Kwon Lee, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3372-3372
Open Access | Times Cited: 68

Deep Learning for Regular Change Detection in Ukrainian Forest Ecosystem With Sentinel-2
Kostiantyn Isaienkov, Mykhailo Yushchuk, Vladislav Khramtsov, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 364-376
Closed Access | Times Cited: 53

Amazon forest cover change mapping based on semantic segmentation by U-Nets
Lucimara Bragagnolo, Roberto Valmir da Silva, J.M.V. Grzybowski
Ecological Informatics (2021) Vol. 62, pp. 101279-101279
Closed Access | Times Cited: 51

Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images
Daliana Lobo Torres, Javier Noa Turnes, Pedro Juan Soto Vega, et al.
Remote Sensing (2021) Vol. 13, Iss. 24, pp. 5084-5084
Open Access | Times Cited: 50

Remote Sensing Image Change Detection Transformer Network Based on Dual-Feature Mixed Attention
Xinyang Song, Zhen Hua, Jinjiang Li
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 38

FCD-R2U-net: Forest change detection in bi-temporal satellite images using the recurrent residual-based U-net
Ehsan Khankeshizadeh, Ali Mohammadzadeh, Armin Moghimi, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2335-2347
Closed Access | Times Cited: 36

Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detection
Hao Chen, Wenyuan Li, Song Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-18
Open Access | Times Cited: 34

Forest mapping and monitoring in Africa using Sentinel-2 data and deep learning
Anders U. Waldeland, Øivind Due Trier, Arnt-Børre Salberg
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 111, pp. 102840-102840
Open Access | Times Cited: 30

Continuous Cross-Resolution Remote Sensing Image Change Detection
Hao Chen, Haotian Zhang, Keyan Chen, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-20
Open Access | Times Cited: 21

High-Resolution Remote Sensing Bitemporal Image Change Detection Based on Feature Interaction and Multitask Learning
Chunhui Zhao, Yingjie Tang, Shou Feng, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-14
Closed Access | Times Cited: 20

STCD: efficient Siamese transformers-based change detection method for remote sensing images
Decheng Wang, Xiangning Chen, Ningbo Guo, et al.
Geo-spatial Information Science (2023) Vol. 27, Iss. 4, pp. 1192-1211
Open Access | Times Cited: 18

Texture based prototypical network for few-shot semantic segmentation of forest cover: Generalizing for different geographical regions
Gokul Puthumanaillam, Ujjwal Verma
Neurocomputing (2023) Vol. 538, pp. 126201-126201
Open Access | Times Cited: 18

Deep Transformer-Based Network Deforestation Detection in the Brazilian Amazon Using Sentinel-2 Imagery
Mariam Alshehri, Anes Ouadou, Grant J. Scott
IEEE Geoscience and Remote Sensing Letters (2024) Vol. 21, pp. 1-5
Open Access | Times Cited: 8

Monitoring construction changes using dense satellite time series and deep learning
Ji Won Suh, Zhe Zhu, Yongquan Zhao
Remote Sensing of Environment (2024) Vol. 309, pp. 114207-114207
Closed Access | Times Cited: 8

Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data
Anesmar Olino de Albuquerque, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al.
Remote Sensing (2020) Vol. 12, Iss. 13, pp. 2159-2159
Open Access | Times Cited: 49

Deforestation Detection in the Amazon Using DeepLabv3+ Semantic Segmentation Model Variants
Renan Bides de Andrade, Guilherme Lúcio Abelha Mota, Gilson Alexandre Ostwald Pedro da Costa
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4694-4694
Open Access | Times Cited: 24

A Lightweight Change Detection Network Based on Feature Interleaved Fusion and Bistage Decoding
Mengmeng Wang, Bai Zhu, Jiacheng Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 2557-2569
Open Access | Times Cited: 14

Context Spatial Awareness Remote Sensing Image Change Detection Network Based on Graph and Convolution Interaction
Xinyang Song, Zhen Hua, Jinjiang Li
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-16
Closed Access | Times Cited: 5

Exploiting Memory-Based Cross-Image Contexts for Salient Object Detection in Optical Remote Sensing Images
Kan Huang, Nannan Li, Jiarong Huang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Closed Access | Times Cited: 5

Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas
Pablo Pozzobon de, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al.
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2576-2576
Open Access | Times Cited: 34

Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series
Bruno Menini Matosak, Leila María García Fonseca, Evandro Carrijo Taquary, et al.
Remote Sensing (2022) Vol. 14, Iss. 1, pp. 209-209
Open Access | Times Cited: 22

Deep learning in different remote sensing image categories and applications: status and prospects
Yu Bai, Yu Zhao, Yajing Shao, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 5, pp. 1800-1847
Closed Access | Times Cited: 21

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