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:

Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest
Jing Wang, Dedi Yang, Matteo Detto, et al.
Remote Sensing of Environment (2020) Vol. 246, pp. 111865-111865
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

A global analysis of the temporal availability of PlanetScope high spatial resolution multi-spectral imagery
David P. Roy, Haiyan Huang, Rasmus Houborg, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112586-112586
Open Access | Times Cited: 187

Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions
Dawei Wen, Xin Huang, Francesca Bovolo, et al.
IEEE Geoscience and Remote Sensing Magazine (2021) Vol. 9, Iss. 4, pp. 68-101
Closed Access | Times Cited: 149

Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2
Yan Cheng, Anton Vrieling, Francesco Fava, et al.
Remote Sensing of Environment (2020) Vol. 248, pp. 112004-112004
Open Access | Times Cited: 132

Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery
Minkyu Moon, Andrew D. Richardson, M. A. Friedl
Remote Sensing of Environment (2021) Vol. 266, pp. 112716-112716
Open Access | Times Cited: 99

Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations
Shengbiao Wu, Jing Wang, Zhengbing Yan, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 36-48
Open Access | Times Cited: 79

Scale gaps in landscape phenology: challenges and opportunities
Daniel Park, Erica A. Newman, Ian Breckheimer
Trends in Ecology & Evolution (2021) Vol. 36, Iss. 8, pp. 709-721
Open Access | Times Cited: 58

Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager
Sungchan Jeong, Youngryel Ryu, Benjamin Dechant, et al.
Remote Sensing of Environment (2022) Vol. 284, pp. 113365-113365
Open Access | Times Cited: 39

An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites
Jing Wang, Guangqin Song, Michael J. Liddell, et al.
Remote Sensing of Environment (2023) Vol. 286, pp. 113429-113429
Open Access | Times Cited: 26

Scale matters: Spatial resolution impacts tropical leaf phenology characterized by multi-source satellite remote sensing with an ecological-constrained deep learning model
Guangqin Song, Jing Wang, Yingyi Zhao, et al.
Remote Sensing of Environment (2024) Vol. 304, pp. 114027-114027
Closed Access | Times Cited: 13

Monitoring Forest Phenology in a Changing World
Ross Gray, Robert M. Ewers
Forests (2021) Vol. 12, Iss. 3, pp. 297-297
Open Access | Times Cited: 49

Sub-annual tropical forest disturbance monitoring using harmonized Landsat and Sentinel-2 data
Na Chen, Nandin‐Erdene Tsendbazar, Eliakim Hamunyela, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102386-102386
Open Access | Times Cited: 44

Land surface phenology retrievals for arid and semi-arid ecosystems
Qiaoyun Xie, James Cleverly, Caitlin E. Moore, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 185, pp. 129-145
Open Access | Times Cited: 35

A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites
Minkyu Moon, Andrew D. Richardson, Tom Milliman, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 34

Evaluating fine-scale phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America
Yingyi Zhao, Calvin K. F. Lee, Zhihui Wang, et al.
Remote Sensing of Environment (2022) Vol. 283, pp. 113310-113310
Closed Access | Times Cited: 31

Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term vegetation monitoring
Juwon Kong, Youngryel Ryu, Sungchan Jeong, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 200, pp. 1-23
Open Access | Times Cited: 18

Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images
Jing Wang, Dedi Yang, Shuli Chen, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112604-112604
Open Access | Times Cited: 39

Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies
Guangqin Song, Shengbiao Wu, Calvin K. F. Lee, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 183, pp. 19-33
Open Access | Times Cited: 36

The complex multi-sectoral impacts of drought: Evidence from a mountainous basin in the Central Spanish Pyrenees
Sergio M. Vicente‐Serrano, Dhais Peña‐Angulo, Conor Murphy, et al.
The Science of The Total Environment (2021) Vol. 769, pp. 144702-144702
Open Access | Times Cited: 34

Near-Surface and High-Resolution Satellite Time Series for Detecting Crop Phenology
Chunyuan Diao, Geyang Li
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 1957-1957
Open Access | Times Cited: 23

Estimating wheat grain yield by assimilating phenology and LAI with the WheatGrow model based on theoretical uncertainty of remotely sensed observation
Yining Tang, Ruiheng Zhou, Ping He, et al.
Agricultural and Forest Meteorology (2023) Vol. 339, pp. 109574-109574
Closed Access | Times Cited: 14

Monitoring spring leaf phenology of individual trees in a temperate forest fragment with multi-scale satellite time series
Yilun Zhao, Chunyuan Diao, Carol K. Augspurger, et al.
Remote Sensing of Environment (2023) Vol. 297, pp. 113790-113790
Open Access | Times Cited: 14

Evaluation of PlanetScope-detected plant-specific phenology using infrared-enabled PhenoCam observations in semi-arid ecosystems
Yuxia Liu, Xiaoyang Zhang, Yu Shen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 210, pp. 242-259
Closed Access | Times Cited: 6

Canopy composition drives variability in urban growing season length more than the heat island effect
Michael Alonzo, Matthew E. Baker, Joshua S. Caplan, et al.
The Science of The Total Environment (2023) Vol. 884, pp. 163818-163818
Open Access | Times Cited: 13

Sentinel-2 time series: a promising tool in monitoring temperate species spring phenology
Ewa Grabska‐Szwagrzyk, Luiza Tymińska-Czabańska
Forestry An International Journal of Forest Research (2023) Vol. 97, Iss. 2, pp. 267-281
Open Access | Times Cited: 13

Amazon forest spectral seasonality is consistent across sensor resolutions and driven by leaf demography
Nathan Gonçalves, Ricardo Dalagnol, Jin Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 93-104
Open Access | Times Cited: 12

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