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 phenotyping in cotton: a review
Irish Lorraine B. Pabuayon, Sun Yazhou, Wenxuan Guo, et al.
Journal of Cotton Research (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 26
Irish Lorraine B. Pabuayon, Sun Yazhou, Wenxuan Guo, et al.
Journal of Cotton Research (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 26
Showing 1-25 of 26 citing articles:
Simulation of an Autonomous Mobile Robot for LiDAR-Based In-Field Phenotyping and Navigation
Jawad Iqbal, Rui Xu, Shangpeng Sun, et al.
Robotics (2020) Vol. 9, Iss. 2, pp. 46-46
Open Access | Times Cited: 80
Jawad Iqbal, Rui Xu, Shangpeng Sun, et al.
Robotics (2020) Vol. 9, Iss. 2, pp. 46-46
Open Access | Times Cited: 80
Advances from Conventional to Modern Plant Breeding Methodologies
Sashi Lamichhane, Sapana Thapa
Plant Breeding and Biotechnology (2022) Vol. 10, Iss. 1, pp. 1-14
Closed Access | Times Cited: 59
Sashi Lamichhane, Sapana Thapa
Plant Breeding and Biotechnology (2022) Vol. 10, Iss. 1, pp. 1-14
Closed Access | Times Cited: 59
Integrating artificial intelligence and high-throughput phenotyping for crop improvement
Mansoor Sheikh, Farooq Iqra, Hamadani Ambreen, et al.
Journal of Integrative Agriculture (2023) Vol. 23, Iss. 6, pp. 1787-1802
Open Access | Times Cited: 42
Mansoor Sheikh, Farooq Iqra, Hamadani Ambreen, et al.
Journal of Integrative Agriculture (2023) Vol. 23, Iss. 6, pp. 1787-1802
Open Access | Times Cited: 42
Digitalizing breeding in plants: A new trend of next-generation breeding based on genomic prediction
Donghyun Jeon, Yuna Kang, Solji Lee, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 34
Donghyun Jeon, Yuna Kang, Solji Lee, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 34
Climate Change—The Rise of Climate-Resilient Crops
Przemysław Kopeć
Plants (2024) Vol. 13, Iss. 4, pp. 490-490
Open Access | Times Cited: 17
Przemysław Kopeć
Plants (2024) Vol. 13, Iss. 4, pp. 490-490
Open Access | Times Cited: 17
Modification in Conventional Methods and Modern Plant Breeding Techniques to Enhance Genetic Gain for Future Food Security
Afifa Younas, Nadia Riaz, Madiha Rashid, et al.
(2025), pp. 377-394
Closed Access | Times Cited: 1
Afifa Younas, Nadia Riaz, Madiha Rashid, et al.
(2025), pp. 377-394
Closed Access | Times Cited: 1
Development of a Multi-Purpose Autonomous Differential Drive Mobile Robot for Plant Phenotyping and Soil Sensing
Jawad Iqbal, Rui Xu, Hunter Halloran, et al.
Electronics (2020) Vol. 9, Iss. 9, pp. 1550-1550
Open Access | Times Cited: 41
Jawad Iqbal, Rui Xu, Hunter Halloran, et al.
Electronics (2020) Vol. 9, Iss. 9, pp. 1550-1550
Open Access | Times Cited: 41
Strong culm: a crucial trait for developing next-generation climate-resilient rice lines
Pritam Kanti Guha, Nakul D. Magar, Madhavilatha Kommana, et al.
Physiology and Molecular Biology of Plants (2024) Vol. 30, Iss. 4, pp. 665-686
Closed Access | Times Cited: 4
Pritam Kanti Guha, Nakul D. Magar, Madhavilatha Kommana, et al.
Physiology and Molecular Biology of Plants (2024) Vol. 30, Iss. 4, pp. 665-686
Closed Access | Times Cited: 4
Revolutionizing crop phenotyping: Enhanced UAV LiDAR flight parameter optimization for wide-narrow row cultivation
Puchen Yan, Yangming Feng, Qisheng Han, et al.
Remote Sensing of Environment (2025) Vol. 320, pp. 114638-114638
Closed Access
Puchen Yan, Yangming Feng, Qisheng Han, et al.
Remote Sensing of Environment (2025) Vol. 320, pp. 114638-114638
Closed Access
A cotton organ segmentation method with phenotypic measurements from a point cloud using a transformer
Fuyong Liu, Hui Geng, Linyuan Shang, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
Fuyong Liu, Hui Geng, Linyuan Shang, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery
Shrinidhi Adke, Changying Li, Khaled Rasheed, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3688-3688
Open Access | Times Cited: 16
Shrinidhi Adke, Changying Li, Khaled Rasheed, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3688-3688
Open Access | Times Cited: 16
A Novel Intelligent System for Dynamic Observation of Cotton Verticillium Wilt
Chenglong Huang, Zhang Zhong-fu, Xiaojun Zhang, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 9
Chenglong Huang, Zhang Zhong-fu, Xiaojun Zhang, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 9
Exploiting genetic diversity in enhancing phenotypic plasticity to develop climate-resilient cotton
Zulfiqar Ali, Hira Maryam, Muhammad Abu Bakar Saddique, et al.
Genetic Resources and Crop Evolution (2023) Vol. 70, Iss. 5, pp. 1305-1320
Closed Access | Times Cited: 9
Zulfiqar Ali, Hira Maryam, Muhammad Abu Bakar Saddique, et al.
Genetic Resources and Crop Evolution (2023) Vol. 70, Iss. 5, pp. 1305-1320
Closed Access | Times Cited: 9
Cotton boll distribution: A review
Irish Lorraine B. Pabuayon, Brendan Kelly, Donna Mitchell‐McCallister, et al.
Agronomy Journal (2020) Vol. 113, Iss. 2, pp. 956-970
Closed Access | Times Cited: 22
Irish Lorraine B. Pabuayon, Brendan Kelly, Donna Mitchell‐McCallister, et al.
Agronomy Journal (2020) Vol. 113, Iss. 2, pp. 956-970
Closed Access | Times Cited: 22
CottonSense: A high-throughput field phenotyping system for cotton fruit segmentation and enumeration on edge devices
Farshad Bolouri, Yildirim Kocoglu, Irish Lorraine B. Pabuayon, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108531-108531
Open Access | Times Cited: 7
Farshad Bolouri, Yildirim Kocoglu, Irish Lorraine B. Pabuayon, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108531-108531
Open Access | Times Cited: 7
Hyperspectral-Based High-throughput Phenotyping to Assess Water-Use Efficiency in Cotton
Sahila Beegum, Muhammad Adeel Hassan, P. Ramamoorthy, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1054-1054
Open Access | Times Cited: 2
Sahila Beegum, Muhammad Adeel Hassan, P. Ramamoorthy, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1054-1054
Open Access | Times Cited: 2
Analysis of cotton height spatial variability based on UAV-LiDAR
Kuan Liu, Xiaoya Dong, Baijing Qiu
International Journal of Precision Agricultural Aviation (2018) Vol. 1, Iss. 1, pp. 72-76
Open Access | Times Cited: 13
Kuan Liu, Xiaoya Dong, Baijing Qiu
International Journal of Precision Agricultural Aviation (2018) Vol. 1, Iss. 1, pp. 72-76
Open Access | Times Cited: 13
Unravelling the genetic potential of untapped crop wild genetic resources for crop improvement
Romesh Kumar Salgotra, Michael Thompson, Bhagirath Singh Chauhan
Conservation Genetics Resources (2021) Vol. 14, Iss. 1, pp. 109-124
Closed Access | Times Cited: 11
Romesh Kumar Salgotra, Michael Thompson, Bhagirath Singh Chauhan
Conservation Genetics Resources (2021) Vol. 14, Iss. 1, pp. 109-124
Closed Access | Times Cited: 11
Implementing multi‐trait genomic selection to improve grain milling quality in oats (Avena sativa L.)
Anup Dhakal, Jesse Poland, Laxman Adhikari, et al.
The Plant Genome (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 1
Anup Dhakal, Jesse Poland, Laxman Adhikari, et al.
The Plant Genome (2024) Vol. 17, Iss. 2
Open Access | Times Cited: 1
Cotton phenotyping and physiology monitoring with a proximal remote sensing system
Curtis B. Adams, Glen L. Ritchie, Nithya Rajan
Crop Science (2020) Vol. 61, Iss. 2, pp. 1317-1327
Closed Access | Times Cited: 7
Curtis B. Adams, Glen L. Ritchie, Nithya Rajan
Crop Science (2020) Vol. 61, Iss. 2, pp. 1317-1327
Closed Access | Times Cited: 7
Cotton Boll Detection through Deep Learning Techniques
S. Nagarajan, T. Kumaravel, P. Natesan, et al.
(2023), pp. 1357-1362
Closed Access | Times Cited: 1
S. Nagarajan, T. Kumaravel, P. Natesan, et al.
(2023), pp. 1357-1362
Closed Access | Times Cited: 1
A New Approach for Evaluating Maize Transgressive Segregants and Their Three-Way Cross Potential in the S4 Convergent Breeding Population
Nuniek Widiayani, Muhammad Fuad Anshori, Nasaruddin Nasaruddin, et al.
Research Square (Research Square) (2024)
Open Access
Nuniek Widiayani, Muhammad Fuad Anshori, Nasaruddin Nasaruddin, et al.
Research Square (Research Square) (2024)
Open Access
Phenotyping cotton leaf chlorophyll via in situ hyperspectral reflectance sensing, spectral vegetation indices, and machine learning
Kelly R. Thorp, Alison L. Thompson, Matthew T. Herritt
Frontiers in Plant Science (2024) Vol. 15
Open Access
Kelly R. Thorp, Alison L. Thompson, Matthew T. Herritt
Frontiers in Plant Science (2024) Vol. 15
Open Access
Cotton Growth Modelling Using UAS-Derived DSM and RGB Imagery
Vasilis Psiroukis, George Papadopoulos, Aikaterini Kasimati, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1214-1214
Open Access | Times Cited: 1
Vasilis Psiroukis, George Papadopoulos, Aikaterini Kasimati, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1214-1214
Open Access | Times Cited: 1
Cottonsense: A High-Throughput Field Phenotyping System for Cotton Fruit Segmentation and Enumeration on Edge Devices
Farshad Bolouri, Yildirim Kocoglu, Irish Lorraine B. Pabuayon, et al.
(2023)
Closed Access | Times Cited: 1
Farshad Bolouri, Yildirim Kocoglu, Irish Lorraine B. Pabuayon, et al.
(2023)
Closed Access | Times Cited: 1
