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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 spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations
Elias Fernando Berra, Rachel Gaulton, Stuart Barr
Remote Sensing of Environment (2019) Vol. 223, pp. 229-242
Closed Access | Times Cited: 119

Showing 26-50 of 119 citing articles:

Characterisation of Banana Plant Growth Using High-Spatiotemporal-Resolution Multispectral UAV Imagery
Aaron Aeberli, Stuart Phinn, Kasper Johansen, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 679-679
Open Access | Times Cited: 21
Provenance trials in the service of forestry assisted migration: A review of North American field trials and experiments
Andrew Park, Jesse L. Rodgers
Forest Ecology and Management (2023) Vol. 537, pp. 120854-120854
Open Access | Times Cited: 19
Remote sensing for monitoring rangeland condition: Current status and development of methods
Angus Retallack, Graeme Finlayson, Bertram Ostendorf, et al.
Environmental and Sustainability Indicators (2023) Vol. 19, pp. 100285-100285
Open Access | Times Cited: 19
Monitoring of chlorophyll-a and suspended sediment concentrations in optically complex inland rivers using multisource remote sensing measurements
Yi Xiao, Jiahao Chen, Yue Xu, et al.
Ecological Indicators (2023) Vol. 155, pp. 111041-111041
Open Access | Times Cited: 19
UAV Flight Height Impacts on Wheat Biomass Estimation via Machine and Deep Learning
Wanxue Zhu, Ehsan Eyshi Rezaei, Hamideh Nouri, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 7471-7485
Open Access | Times Cited: 17
Spatial-temporal heterogeneity of spring phenology in boreal forests as estimated by satellite solar-induced chlorophyll fluorescence and vegetation index
Dandan Shi, Yuan Jiang, Wenqing Li, et al.
Agricultural and Forest Meteorology (2024) Vol. 346, pp. 109888-109888
Closed Access | Times Cited: 7
Advances and Challenges of UAV SFM MVS Photogrammetry and Remote Sensing: Short Review
Elias Fernando Berra, M. V. Peppa
(2020)
Open Access | Times Cited: 40
Monitoring Fine-Scale Forest Health Using Unmanned Aerial Systems (UAS) Multispectral Models
Benjamin T. Fraser, Russell G. Congalton
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4873-4873
Open Access | Times Cited: 37
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
Soil Salinity Inversion in Coastal Corn Planting Areas by the Satellite-UAV-Ground Integration Approach
Guanghui Qi, Chunyan Chang, Wei Yang, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3100-3100
Open Access | Times Cited: 33
An optimal method for validating satellite-derived land surface phenology using in-situ observations from national phenology networks
Yongchang Ye, Xiaoyang Zhang, Yu Shen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 194, pp. 74-90
Open Access | Times Cited: 26
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
Tradeoffs among multi-source remote sensing images, spatial resolution, and accuracy for the classification of wetland plant species and surface objects based on the MRS_DeepLabV3+ model
Zizhen Chen, Jianjun Chen, Yuemin Yue, et al.
Ecological Informatics (2024) Vol. 81, pp. 102594-102594
Open Access | Times Cited: 6
Harmonized Landsat and Sentinel-2 Data with Google Earth Engine
Elias Fernando Berra, Denise Cybis Fontana, Feng Yin, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2695-2695
Open Access | Times Cited: 5
INDIVIDUAL TREE DETECTION FROM UAV LIDAR DATA IN A MIXED SPECIES WOODLAND
Aleksandra Zaforemska, Wen Xiao, Rachel Gaulton
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2019) Vol. XLII-2/W13, pp. 657-663
Open Access | Times Cited: 39
Identification of Apple Orchard Planting Year Based on Spatiotemporally Fused Satellite Images and Clustering Analysis of Foliage Phenophase
Yaohui Zhu, Guijun Yang, Hao Yang, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1199-1199
Open Access | Times Cited: 35
Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis
Jana Müllerová, Xurxo Gago, Martynas Bučas, et al.
Ecological Indicators (2021) Vol. 131, pp. 108156-108156
Open Access | Times Cited: 32
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
Recent advances in remote sensing of vegetation phenology： Retrieval algorithm and validation strategy
Minyu WANG, Yi Luo, Zhengyang Zhang, et al.
National Remote Sensing Bulletin (2022) Vol. 26, Iss. 3, pp. 431-455
Open Access | Times Cited: 21
Trends in Remote Sensing Technologies in Olive Cultivation
Evangelos Anastasiou, Athanasios Τ. Balafoutis, Spyros Fountas
Smart Agricultural Technology (2022) Vol. 3, pp. 100103-100103
Open Access | Times Cited: 20
A Feature-Level Point Cloud Fusion Method for Timber Volume of Forest Stands Estimation
Lijie Guo, Yanjie Wu, Lei Deng, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 2995-2995
Open Access | Times Cited: 13
Thermal Infrared Remote Sensing of Stress Responses in Forest Environments: a Review of Developments, Challenges, and Opportunities
Magdalena Śmigaj, Avinash Agarwal, Harm Bartholomeus, et al.
Current Forestry Reports (2023) Vol. 10, Iss. 1, pp. 56-76
Open Access | Times Cited: 12
Evaluating Post-Fire Vegetation Recovery in Cajander Larch Forests in Northeastern Siberia Using UAV Derived Vegetation Indices
Anna C. Talucci, E. Forbath, Heather Kropp, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2970-2970
Open Access | Times Cited: 30
Higher sample sizes and observer inter‐calibration are needed for reliable scoring of leaf phenology in trees
Guo‐Hua Liu, Isabelle Chuine, Rémy Denéchère, et al.
Journal of Ecology (2021) Vol. 109, Iss. 6, pp. 2461-2474
Open Access | Times Cited: 25
Vision based crown loss estimation for individual trees with remote aerial robots
Boon Ho, Başaran Bahadır Koçer, Mirko Kovač
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 188, pp. 75-88
Open Access | Times Cited: 17

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