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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:

Assessing Forest Phenology: A Multi-Scale Comparison of Near-Surface (UAV, Spectral Reflectance Sensor, PhenoCam) and Satellite (MODIS, Sentinel-2) Remote Sensing
Shangharsha Thapa, Virginia García Millán, Lars Eklundh
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1597-1597
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

A multi-source approach combining GEDI LiDAR, satellite data, and machine learning algorithms for estimating forest aboveground biomass on Google Earth engine platform
Hamdi A. Zurqani
Ecological Informatics (2025), pp. 103052-103052
Open Access | Times Cited: 3
Multi-sensor and multi-platform consistency and interoperability between UAV, Planet CubeSat, Sentinel-2, and Landsat reflectance data
Jiale Jiang, Kasper Johansen, Yu-Hsuan Tu, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 936-958
Open Access | Times Cited: 52
Deep Learning in Plant Phenological Research: A Systematic Literature Review
Negin Katal, Michael Rzanny, Patrick Mäder, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 50
Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications
Xuanlong Ma, Xiaolin Zhu, Qiaoyun Xie, et al.
Global Change Biology (2022) Vol. 28, Iss. 24, pp. 7186-7204
Open Access | Times Cited: 41
The Retrieval of Ground NDVI (Normalized Difference Vegetation Index) Data Consistent with Remote-Sensing Observations
Qi Zhao, Yonghua Qu
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1212-1212
Open Access | Times Cited: 12
A comparison of PhenoCam and satellite indices with in-situ observations for black spruce in the boreal forest of Quebec, Canada
Akash Kumar, Ganesh Sai Sivani Noolu, Siddhartha Khare, et al.
Ecological Informatics (2025), pp. 103137-103137
Open Access | Times Cited: 1
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Yu Shen, Xiaoyang Zhang, Zhengwei Yang
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 186, pp. 55-69
Open Access | Times Cited: 37
A novel algorithm for the generation of gap-free time series by fusing harmonized Landsat 8 and Sentinel-2 observations with PhenoCam time series for detecting land surface phenology
Khuong H. Tran, Xiaoyang Zhang, Alexander R. Ketchpaw, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113275-113275
Open Access | Times Cited: 35
A review of methods for scaling remotely sensed data for spatial pattern analysis
Katherine Markham, Amy E. Frazier, Kunwar K. Singh, et al.
Landscape Ecology (2022) Vol. 38, Iss. 3, pp. 619-635
Closed Access | Times Cited: 33
Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics
Wantong Li, Grégory Duveiller, Sebastian Wieneke, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 7, pp. 073008-073008
Open Access | Times Cited: 7
Recent advances in using Chinese Earth observation satellites for remote sensing of vegetation
Zhengyang Zhang, Lei Lu, Yuhe Zhao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 195, pp. 393-407
Open Access | Times Cited: 27
Forest Fire Assessment Using Remote Sensing to Support the Development of an Action Plan Proposal in Ecuador
Fernando Morante-Carballo, Lady Bravo-Montero, Paúl Carrión-Mero, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1783-1783
Open Access | Times Cited: 25
Monitoring canopy-scale autumn leaf phenology at fine-scale using unmanned aerial vehicle (UAV) photography
Wenyan Ge, Xiuxia Li, Linhai Jing, et al.
Agricultural and Forest Meteorology (2023) Vol. 332, pp. 109372-109372
Closed Access | Times Cited: 16
HP-LSP: A reference of land surface phenology from fused Harmonized Landsat and Sentinel-2 with PhenoCam data
Khuong H. Tran, Xiaoyang Zhang, Yongchang Ye, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 14
Marginal snowpacks: The basis for a global definition and existing research needs
Juan Ignacio López‐Moreno, Nik Callow, Hamish A. McGowan, et al.
Earth-Science Reviews (2024) Vol. 252, pp. 104751-104751
Closed Access | Times Cited: 6
Using PhenoCams to track crop phenology and explain the effects of different cropping systems on yield
Yujie Liu, Christoph Bachofen, Raphaël Wittwer, et al.
Agricultural Systems (2021) Vol. 195, pp. 103306-103306
Open Access | Times Cited: 29
Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams
Yahui Guo, Shouzhi Chen, Yongshuo H. Fu, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 244-244
Open Access | Times Cited: 21
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
A stronger advance of urban spring vegetation phenology narrows vegetation productivity difference between urban settings and natural environments
Lu Yang, Shuqing Zhao
The Science of The Total Environment (2023) Vol. 868, pp. 161649-161649
Closed Access | Times Cited: 12
Monitoring Individual Tree Phenology in a Multi-Species Forest Using High Resolution UAV Images
Jasper Kleinsmann, Jan Verbesselt, Lammert Kooistra
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3599-3599
Open Access | Times Cited: 10
Spatiotemporal Vegetation Dynamics, Forest Loss, and Recovery: Multidecadal Analysis of the U.S. Triple Crown National Scenic Trail Network
Amber R. Ignatius, Antonio Annis, Casey A. Helton, et al.
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1142-1142
Open Access
Leveraging remote sensing to distinguish closely related beech species in assisted gene flow scenarios
Gordana Kaplan, Ariane Mora, Katalin Csilléry, et al.
Forest Ecology and Management (2025) Vol. 586, pp. 122700-122700
Open Access
Advancing Acer phenology monitoring: fine-grained identification and analysis by deep learning RESformer
Weipeng Jing, Huiming Xu, Wenwei Zou, et al.
Journal of Forestry Research (2025) Vol. 36, Iss. 1
Closed Access
Global genecological status of vulnerable Dalbergia latifolia: need to introspect the conservation perspectives
Maneesh S. Bhandari, Shailesh Pandey, Rama Kant, et al.
Vegetos (2025)
Closed Access
Comparing ground below-canopy and satellite spectral data for an improved and integrated forest phenology monitoring system
Gaia Vaglio Laurin, Alexander Cotrina-Sánchez, Luca Belelli Marchesini, et al.
Ecological Indicators (2023) Vol. 158, pp. 111328-111328
Open Access | Times Cited: 9
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