Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Classical phenotyping and deep learning concur on genetic control of stomatal density and area in sorghum
Raju Bheemanahalli, Chaoxin Wang, Elfadil M. A. Bashir, et al.
PLANT PHYSIOLOGY (2021) Vol. 186, Iss. 3, pp. 1562-1579
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions
John N. Ferguson, Samuel B. Fernandes, Brandon Monier, et al.
PLANT PHYSIOLOGY (2021) Vol. 187, Iss. 3, pp. 1481-1500
Open Access | Times Cited: 67
Automated plant species identification from the stomata images using deep neural network: A study of selected mangrove and freshwater swamp forest tree species of Bangladesh
Biplob Dey, Romel Ahmed, Jannatul Ferdous, et al.
Ecological Informatics (2023) Vol. 75, pp. 102128-102128
Closed Access | Times Cited: 18
Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods
Changyu Zhang, Yu Jin, Jinglu Wang, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Automatic stomatal phenotyping of lettuce leaves for plant factory: An improved U-network approach
Xihai Zhang, Jiaxi Zhu, Cheng Jin, et al.
Industrial Crops and Products (2025) Vol. 226, pp. 120688-120688
Open Access
Stomata‐Photosynthesis Synergy Mediates Combined Heat and Salt Stress Tolerance in Sugarcane Mutant M4209
P. S. Negi, Manish K. Pandey, Radha Krishna Paladi, et al.
Plant Cell & Environment (2025)
Open Access
Deep learning based high-throughput phenotyping of chalkiness in rice exposed to high night temperature
Chaoxin Wang, Doina Caragea, Nisarga Kodadinne Narayana, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 24
StomaAI: an efficient and user‐friendly tool for measurement of stomatal pores and density using deep computer vision
Na Sai, James Bockman, Hao Chen, et al.
New Phytologist (2023) Vol. 238, Iss. 2, pp. 904-915
Open Access | Times Cited: 13
Data-driven approaches to improve water-use efficiency and drought resistance in crop plants
Niharika Sharma, Harsh Raman, David A. Wheeler, et al.
Plant Science (2023) Vol. 336, pp. 111852-111852
Closed Access | Times Cited: 10
Plant microphenotype: from innovative imaging to computational analysis
Ying Zhang, Shenghao Gu, Jianjun Du, et al.
Plant Biotechnology Journal (2024) Vol. 22, Iss. 4, pp. 802-818
Open Access | Times Cited: 3
Application of deep learning for the analysis of stomata: a review of current methods and future directions
Jonathon A. Gibbs, Alexandra J. Burgess
Journal of Experimental Botany (2024) Vol. 75, Iss. 21, pp. 6704-6718
Open Access | Times Cited: 3
Natural polymorphisms in ZmIRX15A affect water‐use efficiency by modulating stomatal density in maize
Kun Zhang, Ming Xue, Feng Qin, et al.
Plant Biotechnology Journal (2023) Vol. 21, Iss. 12, pp. 2560-2573
Open Access | Times Cited: 9
A Deep Learning-Based Method for Automatic Assessment of Stomatal Index in Wheat Microscopic Images of Leaf Epidermis
Chuancheng Zhu, Yusong Hu, Hude Mao, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 21
Detection and quantification of cotton trichomes by deep learning algorithm
Keyan Luo, Yu Jin, Shuhan Wen, et al.
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107936-107936
Closed Access | Times Cited: 8
Measuring stomatal and guard cell metrics for plant physiology and growth using StoManager1
Jiaxin Wang, Heidi J. Renninger, Qin Ma, et al.
PLANT PHYSIOLOGY (2024) Vol. 195, Iss. 1, pp. 378-394
Open Access | Times Cited: 2
StomaVision: stomatal trait analysis through deep learning
Ting-Li Wu, Po‐Yu Chen, Xiaofei Du, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Investigation of a Perspective Urban Tree Species, Ginkgo biloba L., by Scientific Analysis of Historical Old Specimens
Szilvia Kisvarga, Dóra Hamar-Farkas, Katalin Horotán, et al.
Plants (2024) Vol. 13, Iss. 11, pp. 1470-1470
Open Access | Times Cited: 2
Knock‐down of phosphoenolpyruvate carboxylase 3 negatively impacts growth, productivity, and responses to salt stress in sorghum (Sorghum bicolor L.)
Clara de la Osa, Jesús Pérez‐López, Ana B. Feria, et al.
The Plant Journal (2022) Vol. 111, Iss. 1, pp. 231-249
Open Access | Times Cited: 12
Genome‐wide association study revealed TaHXK3‐2A as a candidate gene controlling stomatal index in wheat seedlings
Shumin Li, Shizhou Yu, Yifang Zhang, et al.
Plant Cell & Environment (2022) Vol. 45, Iss. 8, pp. 2306-2323
Closed Access | Times Cited: 12
StomataTracker: Revealing circadian rhythms of wheat stomata with in-situ video and deep learning
Zhuangzhuang Sun, Xiao Wang, Yunlin Song, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108120-108120
Closed Access | Times Cited: 6
Stomatal improvement for crop stress resistance
Lu Wang, Cheng Chang
Journal of Experimental Botany (2023) Vol. 75, Iss. 7, pp. 1823-1833
Closed Access | Times Cited: 6
Domestication has reduced leaf water use efficiency associated with the anatomy of abaxial stomata in cotton
Zhangying Lei, Yang He, Xiafei Li, et al.
Journal of Experimental Botany (2022) Vol. 74, Iss. 3, pp. 878-888
Closed Access | Times Cited: 10
Pilot-scale genome-wide association mapping in diverse sorghum germplasms identified novel genetic loci linked to major agronomic, root and stomatal traits
Ajay Prasanth Ramalingam, Williams Mohanavel, Rohit Kambale, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Deep learning‐based quantification and transcriptomic profiling reveal a methyl jasmonate‐mediated glandular trichome formation pathway in Cannabis sativa
Xiaoqin Huang, Wei Chen, Yuqing Zhao, et al.
The Plant Journal (2024) Vol. 118, Iss. 4, pp. 1155-1173
Closed Access | Times Cited: 1
Stomatal development in the changing climate
Li Cong Chua, On Sun Lau
Development (2024) Vol. 151, Iss. 20
Open Access | Times Cited: 1
Towards the Integration of Computer Vision and Applied Artificial Intelligence in Postharvest Storage Systems: Non-invasive Harvested Crop Monitoring
Ronnie Concepcion, Llewelyn Moron, Ira C. Valenzuela, et al.
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2021), pp. 1-6
Closed Access | Times Cited: 9
Page 1 - Next Page

Scroll to top