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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:

Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
Zhe Zhu
ISPRS Journal of Photogrammetry and Remote Sensing (2017) Vol. 130, pp. 370-384
Open Access | Times Cited: 722

Showing 1-25 of 722 citing articles:

Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
Carlos Souza, Julia Z. Shimbo, Marcos Reis Rosa, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2735-2735
Open Access | Times Cited: 1188
Current status of Landsat program, science, and applications
Michael A. Wulder, Thomas R. Loveland, David P. Roy, et al.
Remote Sensing of Environment (2019) Vol. 225, pp. 127-147
Open Access | Times Cited: 868
A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring
Jian Li, David P. Roy
Remote Sensing (2017) Vol. 9, Iss. 9, pp. 902-902
Open Access | Times Cited: 556
Implementation of the LandTrendr Algorithm on Google Earth Engine
Robert E. Kennedy, Zhiqiang Yang, Noel Gorelick, et al.
Remote Sensing (2018) Vol. 10, Iss. 5, pp. 691-691
Open Access | Times Cited: 457
Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping
Patrick Griffiths, Claas Nendel, Patrick Hostert
Remote Sensing of Environment (2018) Vol. 220, pp. 135-151
Open Access | Times Cited: 438
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
Pedram Ghamisi, Richard Gloaguen, Peter M. Atkinson, et al.
IEEE Geoscience and Remote Sensing Magazine (2019) Vol. 7, Iss. 1, pp. 6-39
Open Access | Times Cited: 421
Benefits of the free and open Landsat data policy
Zhe Zhu, Michael A. Wulder, David P. Roy, et al.
Remote Sensing of Environment (2019) Vol. 224, pp. 382-385
Open Access | Times Cited: 406
Fifty years of Landsat science and impacts
Michael A. Wulder, David P. Roy, Volker C. Radeloff, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113195-113195
Open Access | Times Cited: 399
Detecting Ecological Changes with a Remote Sensing Based Ecological Index (RSEI) Produced Time Series and Change Vector Analysis
Hanqiu Xu, Yifan Wang, Huade Guan, et al.
Remote Sensing (2019) Vol. 11, Iss. 20, pp. 2345-2345
Open Access | Times Cited: 362
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
Kaiguang Zhao, Michael A. Wulder, Tongxi Hu, et al.
Remote Sensing of Environment (2019) Vol. 232, pp. 111181-111181
Open Access | Times Cited: 346
A cloud detection algorithm for satellite imagery based on deep learning
Jacob Jeppesen, Rune Hylsberg Jacobsen, Fadil Inceoglu, et al.
Remote Sensing of Environment (2019) Vol. 229, pp. 247-259
Open Access | Times Cited: 341
Understanding an urbanizing planet: Strategic directions for remote sensing
Zhe Zhu, Yuyu Zhou, Karen C. Seto, et al.
Remote Sensing of Environment (2019) Vol. 228, pp. 164-182
Closed Access | Times Cited: 312
Overall Methodology Design for the United States National Land Cover Database 2016 Products
Suming Jin, Collin G. Homer, Limin Yang, et al.
Remote Sensing (2019) Vol. 11, Iss. 24, pp. 2971-2971
Open Access | Times Cited: 288
Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis
Eric L. Bullock, Curtis E. Woodcock, Pontus Olofsson
Remote Sensing of Environment (2018) Vol. 238, pp. 110968-110968
Open Access | Times Cited: 241
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
Atiya Khan, Amol D. Vibhute, Shankar Mali, et al.
Ecological Informatics (2022) Vol. 69, pp. 101678-101678
Closed Access | Times Cited: 226
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Ayesha Shafique, Guo Cao, Zia U. Khan, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 871-871
Open Access | Times Cited: 224
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
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach
J. F. Brown, H. Tollerud, Christopher Barber, et al.
Remote Sensing of Environment (2019) Vol. 238, pp. 111356-111356
Open Access | Times Cited: 194
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change
Meredith Reba, Karen C. Seto
Remote Sensing of Environment (2020) Vol. 242, pp. 111739-111739
Closed Access | Times Cited: 177
Empirical cross sensor comparison of Sentinel-2A and 2B MSI, Landsat-8 OLI, and Landsat-7 ETM+ top of atmosphere spectral characteristics over the conterminous United States
Robert A. Chastain, Ian W. Housman, Joshua Goldstein, et al.
Remote Sensing of Environment (2018) Vol. 221, pp. 274-285
Open Access | Times Cited: 172
Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art
Prem Chandra Pandey, Nikos Koutsias, George P. Petropoulos, et al.
Geocarto International (2019) Vol. 36, Iss. 9, pp. 957-988
Closed Access | Times Cited: 164
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth
Mohammadali Hemati, Mahdi Hasanlou, Masoud Mahdianpari, et al.
Remote Sensing (2021) Vol. 13, Iss. 15, pp. 2869-2869
Open Access | Times Cited: 156
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID
Yang Long, Gui-Song Xia, Shengyang Li, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 4205-4230
Open Access | Times Cited: 143
Deep learning for change detection in remote sensing: a review
Ting Bai, Le Wang, Dameng Yin, et al.
Geo-spatial Information Science (2022) Vol. 26, Iss. 3, pp. 262-288
Open Access | Times Cited: 137
Remote sensing in forestry: current challenges, considerations and directions
Fabian Ewald Fassnacht, Joanne C. White, Michael A. Wulder, et al.
Forestry An International Journal of Forest Research (2023) Vol. 97, Iss. 1, pp. 11-37
Open Access | Times Cited: 133
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