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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:

High-throughput field crop phenotyping: current status and challenges
S. Ninomiya
Breeding Science (2022) Vol. 72, Iss. 1, pp. 3-18
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant’s Abiotic Stress Tolerance Responses
Rajib Roychowdhury, Soumya Prakash Das, Amber Gupta, et al.
Genes (2023) Vol. 14, Iss. 6, pp. 1281-1281
Open Access | Times Cited: 77
Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops
Miguel Ángel Villalobos-López, Analilia Arroyo-Becerra, Anareli Quintero-Jiménez, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 12053-12053
Open Access | Times Cited: 46
Integrated omics approaches for flax improvement under abiotic and biotic stress: Current status and future prospects
Bindu Yadav, Vikender Kaur, Om Narayan, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 40
Genomics, Phenomics, and Machine Learning in Transforming Plant Research: Advancements and Challenges
Sheikh Mansoor, E.M.B.M. Karunathilake, Thai Thanh Tuan, et al.
Horticultural Plant Journal (2024)
Open Access | Times Cited: 12
Leveraging edge artificial intelligence for sustainable agriculture
Moussa El Jarroudi, Louis Kouadio, Philippe Delfosse, et al.
Nature Sustainability (2024) Vol. 7, Iss. 7, pp. 846-854
Closed Access | Times Cited: 9
Improved 3D point cloud segmentation for accurate phenotypic analysis of cabbage plants using deep learning and clustering algorithms
Ruichao Guo, Jilong Xie, Jiaxi Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108014-108014
Closed Access | Times Cited: 19
Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline
Qingfeng Song, Fusang Liu, Hongyi Bu, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 13
Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols
Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Advances in Crop Improvement through High-Throughput Phenotyping
J Padhy, Ratan Sarkar, Sourav Ranjan Mohapatra, et al.
CABI eBooks (2025), pp. 194-215
Closed Access
Point Cloud Registration Based on Fast Point Feature Histogram Descriptors for 3D Reconstruction of Trees
Yeping Peng, Shengdong Lin, Hongkun Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3775-3775
Open Access | Times Cited: 12
Multispectral Drone Imagery and SRGAN for Rapid Phenotypic Mapping of Individual Chinese Cabbage Plants
Jun Zhang, Xinxin Wang, Jingyan Liu, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 17
An overview of image-based phenotyping as an adaptive 4.0 technology for studying plant abiotic stress: A bibliometric and literature review
Muhammad Fuad Anshori, Andi Dirpan, Trias Sitaresmi, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21650-e21650
Open Access | Times Cited: 10
Image-based sensing of salt stress in grapevine
Giuseppe Montanaro, Nunzio Briglia, Angelo Petrozza, et al.
OENO One (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 3
Standard Framework Construction of Technology and Equipment for Big Data in Crop Phenomics
Weiliang Wen, Shenghao Gu, Ying Zhang, et al.
Engineering (2024)
Open Access | Times Cited: 3
Phenomics enables measurement of complex responses of developing animals to global environmental drivers
Oliver Tills, Luke Holmes, Elliot Quinn, et al.
The Science of The Total Environment (2022) Vol. 858, pp. 159555-159555
Open Access | Times Cited: 13
Research advance in phenotype detection robots for agriculture and forestry
Yuanqiao Wang, Jiangchuan Fan, S.K. Yu, et al.
International journal of agricultural and biological engineering (2023) Vol. 16, Iss. 1, pp. 14-25
Open Access | Times Cited: 7
Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks
Giuseppe Montanaro, Angelo Petrozza, Laura Rustioni, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 7
CropQuant-Air: an AI-powered system to enable phenotypic analysis of yield- and performance-related traits using wheat canopy imagery collected by low-cost drones
Jiawei Chen, Jie Zhou, Qing Li, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 7
Crop physiology, the technology and the production gap
João Paulo Rodrigues Alves Delfino Barbosa, Alana Batista Cruz, Alexandre dos Santos Botelho, et al.
Theoretical and Experimental Plant Physiology (2024) Vol. 36, Iss. 3, pp. 567-582
Closed Access | Times Cited: 2
Progress in the Use of Combined Omics for Mungbean Breeding Improvement and Its Potential in Promoting Resistance against Cercospora Leaf Spot
Temesgen Bedassa Gudeta, Gemechu Keneni, Sandiswa Figlan
International Journal of Plant Biology (2024) Vol. 15, Iss. 2, pp. 482-504
Open Access | Times Cited: 2
High-Throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep Learning Models
Mashiro Okada, C. Barras, Yusuke Toda, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 2
Field phenotyping for African crops: overview and perspectives
Daniel Kingsley Cudjoe, Nicolas Virlet, March Castle, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 6
Plant Nutrition—New Methods Based on the Lessons of History: A Review
Martin Kulhánek, Dinkayehu Alamnie Asrade, Pavel Suran, et al.
Plants (2023) Vol. 12, Iss. 24, pp. 4150-4150
Open Access | Times Cited: 6
Prediction of heading date, culm length, and biomass from canopy-height-related parameters derived from time-series UAV observations of rice
Shoji Taniguchi, Toshihiro Sakamoto, Ryoji Imase, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 10
Crop/Plant Modeling Supports Plant Breeding: II. Guidance of Functional Plant Phenotyping for Trait Discovery
Pengpeng Zhang, Jingyao Huang, Yuntao Ma, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 5
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