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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:

Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis
Ying Liu, Chaoyang Wu, Oliver Sonnentag, et al.
Agricultural and Forest Meteorology (2020) Vol. 285-286, pp. 107910-107910
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images
Yahui Guo, Yongshuo H. Fu, Shouzhi Chen, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102435-102435
Open Access | Times Cited: 71
Enhancing the accuracy of monitoring effective tiller counts of wheat using multi-source data and machine learning derived from consumer drones
Ziheng Feng, Jiaxiang Cai, Ke Wu, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110120-110120
Closed Access | Times Cited: 1
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
Seasonal variation in the canopy color of temperate evergreen conifer forests
Bijan Seyednasrollah, D. R. Bowling, Rui Cheng, et al.
New Phytologist (2020) Vol. 229, Iss. 5, pp. 2586-2600
Open Access | Times Cited: 54
PhenoCam: An evolving, open-source tool to study the temporal and spatial variability of ecosystem-scale phenology
Andrew D. Richardson
Agricultural and Forest Meteorology (2023) Vol. 342, pp. 109751-109751
Open Access | Times Cited: 20
Development of a global annual land surface phenology dataset for 1982–2018 from the AVHRR data by implementing multiple phenology retrieving methods
Wei Wu, Ying Sun, Kun Xiao, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 103, pp. 102487-102487
Open Access | Times Cited: 40
Land surface phenology detections from multi-source remote sensing indices capturing canopy photosynthesis phenology across major land cover types in the Northern Hemisphere
Lei Zhou, Wen Zhou, Jijing Chen, et al.
Ecological Indicators (2022) Vol. 135, pp. 108579-108579
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
Solar-induced chlorophyll fluorescence captures photosynthetic phenology better than traditional vegetation indices
Jingru Zhang, Alemu Gonsamo, Xiaojuan Tong, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 203, pp. 183-198
Closed Access | Times Cited: 16
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
Improving maize yield estimation by assimilating UAV-based LAI into WOFOST model
Yahui Guo, Fanghua Hao, X. Zhang, et al.
Field Crops Research (2024) Vol. 315, pp. 109477-109477
Open Access | Times Cited: 4
Synthesizing forestry images conditioned on plant phenotype using a generative adversarial network
Debasmita Pal, Arun Ross
Pattern Recognition (2025), pp. 111385-111385
Open Access
Drone multispectral imaging captures the effects of soil mineral nitrogen on canopy structure and nitrogen use efficiency in wheat
Jie Wang, Sebastian T. Meyer, XU Xi-jie, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110342-110342
Open Access
Heat Deficit for Vegetation Leaf Senescence and Its Key Accumulation Process and Determinants at Northern Middle and High Latitudes During 2001–2022
Zhihui Yuan, Gang Bao, Fei Li, et al.
Global Ecology and Biogeography (2025) Vol. 34, Iss. 5
Closed Access
Relationship between tropical leaf phenology and ecosystem productivity using phenocameras
Bruna Alberton, Thomas Newton Martin, Humberto Ribeiro da Rocha, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 9
Identifying Leaf Phenology of Deciduous Broadleaf Forests from PhenoCam Images Using a Convolutional Neural Network Regression Method
Mengying Cao, Ying Sun, Xin Jiang, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2331-2331
Open Access | Times Cited: 18
Linear Disturbances Shift Boreal Peatland Plant Communities Toward Earlier Peak Greenness
Scott J. Davidson, Ellie M. Goud, Avni Malhotra, et al.
Journal of Geophysical Research Biogeosciences (2021) Vol. 126, Iss. 8
Open Access | Times Cited: 16
Phenology of fine root and shoot using high frequency temporal resolution images in a temperate larch forest
Azusa Tamura, Hiroyuki Oguma, Roma Fujimoto, et al.
Rhizosphere (2022) Vol. 22, pp. 100541-100541
Open Access | Times Cited: 12
Understanding spatio-temporal variation of autumn phenology in temperate China from 1982 to 2018
Shuai Wu, Wei Wu
Frontiers in Ecology and Evolution (2024) Vol. 11
Open Access | Times Cited: 2
Comparative Quality and Trend of Remotely Sensed Phenology and Productivity Metrics across the Western United States
Ethan E. Berman, Tabitha A. Graves, Nate L. Mikle, et al.
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2538-2538
Open Access | Times Cited: 18
A survey of proximal methods for monitoring leaf phenology in temperate deciduous forests
Kamel Soudani, Nicolas Delpierre, Daniel Berveiller, et al.
Biogeosciences (2021) Vol. 18, Iss. 11, pp. 3391-3408
Open Access | Times Cited: 15
Phenomic data-facilitated rust and senescence prediction in maize using machine learning algorithms
Aaron J. DeSalvio, Alper Adak, Seth C. Murray, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 11
Modeling plant phenology by MODIS derived photochemical reflectance index (PRI)
Ying Liu, Chaoyang Wu, Feng Tian, et al.
Agricultural and Forest Meteorology (2022) Vol. 324, pp. 109095-109095
Closed Access | Times Cited: 10
Comparing phenocam color indices with phenological observations of black spruce in the boreal forest
Xiaoxia Li, Suyash Khare, Siddhartha Khare, et al.
Ecological Informatics (2023) Vol. 76, pp. 102149-102149
Closed Access | Times Cited: 5
Understanding the role of phenology and summer physiology in controlling net ecosystem production: a multiscale comparison of satellite, PhenoCam and eddy covariance data
Ying Liu, Chaoyang Wu
Environmental Research Letters (2020) Vol. 15, Iss. 10, pp. 104086-104086
Open Access | Times Cited: 13
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