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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:

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

Showing 1-25 of 50 citing articles:

Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning
Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1463-1463
Open Access | Times Cited: 48
A deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level
Felix Lobert, Johannes Löw, Marcel Schwieder, et al.
Remote Sensing of Environment (2023) Vol. 298, pp. 113800-113800
Open Access | Times Cited: 26
Multispecies deep learning using citizen science data produces more informative plant community models
Philipp Brun, Dirk Nikolaus Karger, Damaris Zurell, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
A transformer-based model for detecting land surface phenology from the irregular harmonized Landsat and Sentinel-2 time series across the United States
Khuong H. Tran, Xiaoyang Zhang, Hankui K. Zhang, et al.
Remote Sensing of Environment (2025) Vol. 320, pp. 114656-114656
Closed Access | Times Cited: 1
Geometric Morphometric Versus Genomic Patterns in a Large Polyploid Plant Species Complex
Ladislav Hodač, Kevin Karbstein, Salvatore Tomasello, et al.
Biology (2023) Vol. 12, Iss. 3, pp. 418-418
Open Access | Times Cited: 19
Long-term dynamics of peak photosynthesis timing and environmental controls in the Tibetan Plateau monitored by satellite solar-induced chlorophyll fluorescence
Z. Tu, Yuan Sun, Chaoyang Wu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 7
Floating in the air: forecasting allergenic pollen concentration for managing urban public health
Xiaoyu Zhu, Xuanlong Ma, Zhengyang Zhang, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 6
Opportunistic plant observations reveal spatial and temporal gradients in phenology
Michael Rzanny, Patrick Mäder, Hans Christian Wittich, et al.
npj Biodiversity (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 6
Review of synthetic aperture radar with deep learning in agricultural applications
Mahya G.Z. Hashemi, Ehsan Jalilvand, Hamed Alemohammad, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 20-49
Closed Access | Times Cited: 6
Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops
Leandro Rodrigues, Sandro Augusto Magalhães, Daniel Queirós da Silva, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 463-463
Open Access | Times Cited: 14
Crop-saving with AI: latest trends in deep learning techniques for plant pathology
Salman Zafar, Abdullah Muhammad, Md. Jalil Piran, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 14
Influence of temperate forest autumn leaf phenology on segmentation of tree species from UAV imagery using deep learning
M. Cloutier, Mickaël Germain, Étienne Laliberté
Remote Sensing of Environment (2024) Vol. 311, pp. 114283-114283
Open Access | Times Cited: 5
Macrophenological dynamics from citizen science plant occurrence data
Karin Mora, Michael Rzanny, Jana Wäldchen, et al.
Methods in Ecology and Evolution (2024) Vol. 15, Iss. 8, pp. 1422-1437
Open Access | Times Cited: 5
Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning
Calvin K. F. Lee, Guangqin Song, Helene C. Muller‐Landau, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 201, pp. 92-103
Open Access | Times Cited: 12
Synthesizing forestry images conditioned on plant phenotype using a generative adversarial network
Debasmita Pal, Arun Ross
Pattern Recognition (2025), pp. 111385-111385
Open Access
Flowering Responses to Vernalization and Photoperiod in Minuartia laricina (L.) Mattf., a Perennial Herb in the Korean Peninsula
Dong Gyu Lee, Suejin Park, Chae Won Kim, et al.
Horticulturae (2025) Vol. 11, Iss. 2, pp. 188-188
Open Access
Bridging technology and ecology: enhancing applicability of deep learning and UAV-based flower recognition
Marie Schnalke, Jonas Funk, Andreas Wagner
Frontiers in Plant Science (2025) Vol. 16
Open Access
Digital Repeat Photography Application for Flowering Stage Classification of Selected Woody Plants
Monika A. Różańska, Kamila M. Harenda, Damian Józefczyk, et al.
Sensors (2025) Vol. 25, Iss. 7, pp. 2106-2106
Open Access
A Novel Fusion of Sentinel-1 and Sentinel-2 with Climate Data for Crop Phenology Estimation using Machine Learning
Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias K. D. Weber
Science of Remote Sensing (2025), pp. 100227-100227
Open Access
Algorithms going wild – A review of machine learning techniques for terrestrial ecology
Cristina Cipriano, Sergio Noce, Simone Mereu, et al.
Ecological Modelling (2025) Vol. 506, pp. 111164-111164
Open Access
Determining the community composition of herbaceous species from images using convolutional neural networks
Matthias Körschens, Solveig Franziska Bucher, Paul Bodesheim, et al.
Ecological Informatics (2024) Vol. 80, pp. 102516-102516
Open Access | Times Cited: 3
Algorithms for Plant Monitoring Applications: A Comprehensive Review
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri, et al.
Algorithms (2025) Vol. 18, Iss. 2, pp. 84-84
Open Access
A roadmap for advancing plant phenological studies through effective open research data management
Barbara Templ
Ecological Informatics (2025), pp. 103109-103109
Open Access
PhenologyNet: A fine-grained approach for crop-phenology classification fusing convolutional neural network and phenotypic similarity
Haichao Yang, Jianping Zhou, Chao Zheng, et al.
Computers and Electronics in Agriculture (2024) Vol. 229, pp. 109728-109728
Closed Access | Times Cited: 2
Influence of Temperate Forest Autumn Leaf Phenology on Segmentation of Tree Species from UAV Imagery Using Deep Learning
M. Cloutier, Mickaël Germain, Étienne Laliberté
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
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