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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:

Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy
Sheng Wang, Kaiyu Guan, Zhihui Wang, et al.
Journal of Experimental Botany (2020) Vol. 72, Iss. 2, pp. 341-354
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Magnesium-nitrogen co-doped carbon dots enhance plant growth through multifunctional regulation in photosynthesis
Yadong Li, Xiaokai Xu, Bingfu Lei, et al.
Chemical Engineering Journal (2021) Vol. 422, pp. 130114-130114
Closed Access | Times Cited: 99
Crop phenotyping in a context of global change: What to measure and how to do it
J. L. Araus, Shawn C. Kefauver, Omar Vergara‐Díaz, et al.
Journal of Integrative Plant Biology (2021) Vol. 64, Iss. 2, pp. 592-618
Open Access | Times Cited: 59
Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling
Sheng Wang, Kaiyu Guan, Zhihui Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102617-102617
Open Access | Times Cited: 58
Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning
Sheng Wang, Kaiyu Guan, Chenhui Zhang, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113386-113386
Open Access | Times Cited: 38
Predicting leaf traits across functional groups using reflectance spectroscopy
Shan Kothari, Rosalie Beauchamp‐Rioux, Florence Blanchard, et al.
New Phytologist (2023) Vol. 238, Iss. 2, pp. 549-566
Open Access | Times Cited: 38
Hyperspectral proximal sensing of leaf chlorophyll content of spring maize based on a hybrid of physically based modelling and ensemble stacking
Xi Huang, Huade Guan, Liyuan Bo, et al.
Computers and Electronics in Agriculture (2023) Vol. 208, pp. 107745-107745
Closed Access | Times Cited: 36
Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches
Zhihui Wang, Jean‐Baptiste Féret, Nanfeng Liu, et al.
Remote Sensing of Environment (2023) Vol. 293, pp. 113614-113614
Open Access | Times Cited: 23
Hyperspectral and Thermal Sensing of Stomatal Conductance, Transpiration, and Photosynthesis for Soybean and Maize under Drought
Verónica Sobejano Paz, Teis Nørgaard Mikkelsen, Andreas Baum, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3182-3182
Open Access | Times Cited: 62
Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges
Marcin Grzybowski, Nuwan K. Wijewardane, Abbas Atefi, et al.
Plant Communications (2021) Vol. 2, Iss. 4, pp. 100209-100209
Open Access | Times Cited: 51
Assessing mangrove leaf traits under different pest and disease severity with hyperspectral imaging spectroscopy
Xiapeng Jiang, Jianing Zhen, Jing Miao, et al.
Ecological Indicators (2021) Vol. 129, pp. 107901-107901
Open Access | Times Cited: 49
Advances in field-based high-throughput photosynthetic phenotyping
Peng Fu, Christopher M. Montes, Matthew H. Siebers, et al.
Journal of Experimental Botany (2022) Vol. 73, Iss. 10, pp. 3157-3172
Open Access | Times Cited: 35
Pyridinic Nitrogen Doped Carbon Dots Supply Electrons to Improve Photosynthesis and Extracellular Electron Transfer of Chlorella pyrenoidosa
Xiaoman Huang, Junjie Lin, Jiarong Liang, et al.
Small (2023) Vol. 19, Iss. 31
Closed Access | Times Cited: 22
Nitrogen supply alleviates cold stress by increasing photosynthesis and nitrogen assimilation in maize seedlings
Soualihou Soualiou, Fengying Duan, Xia Li, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 10, pp. 3142-3162
Closed Access | Times Cited: 18
Spectroscopy outperforms leaf trait relationships for predicting photosynthetic capacity across different forest types
Zhengbing Yan, Zhengfei Guo, Shawn Serbin, et al.
New Phytologist (2021) Vol. 232, Iss. 1, pp. 134-147
Open Access | Times Cited: 33
Coupling effective variable selection with machine learning techniques for better estimating leaf photosynthetic capacity in a tree species (Fagus crenata Blume) from hyperspectral reflectance
Guangman Song, Quan Wang
Agricultural and Forest Meteorology (2023) Vol. 338, pp. 109528-109528
Closed Access | Times Cited: 14
Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content
Genghong Wu, Chongya Jiang, Hyungsuk Kimm, et al.
Remote Sensing of Environment (2022) Vol. 279, pp. 113104-113104
Open Access | Times Cited: 19
A Vis/NIRS device for evaluating leaf nitrogen content using K-means algorithm and feature extraction methods
Miao Lu, Haoyu Wang, Jinghua Xu, et al.
Computers and Electronics in Agriculture (2024) Vol. 225, pp. 109301-109301
Closed Access | Times Cited: 4
Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation
Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Estimating photosynthetic traits in tea chrysanthemum using high-throughput leaf hyperspectral reflectance
Jingshan Lu, Qimo Qi, Gangjun Zheng, et al.
Plant Physiology and Biochemistry (2025) Vol. 221, pp. 109606-109606
Closed Access
Principles and application of nitrogen management in precision agriculture: A review
Rupak Karn, Ahmed Harb Rabia, Katie L. Lewis, et al.
Advances in agronomy (2025)
Closed Access
Research on High-Accuracy, Lightweight, Superfast Model for Nitrogen Diagnosis and Plant Growth in Lettuce (Lactuca sativa L.)
Xuyang Li, Iftikhar Hussain Shah, Xiaowen Gong, et al.
Horticulturae (2025) Vol. 11, Iss. 5, pp. 451-451
Open Access
High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits
Jingshan Lu, Qimo Qi, Gangjun Zheng, et al.
Plant Phenomics (2025), pp. 100045-100045
Open Access
Non-IID Transfer Learning on Graphs
Jun Wu, Jingrui He, Elizabeth A. Ainsworth
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 10342-10350
Open Access | Times Cited: 10
Comparison of UV, visible and near-infrared, and mid-infrared spectrometers to estimate maize and sorghum leaf nutrients using dry-intact and ground leaves
F.H.C.A. Silva, Nuwan K. Wijewardane, Raju Bheemanahalli, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108001-108001
Closed Access | Times Cited: 10
Machine learning in photosynthesis: Prospects on sustainable crop development
Ressin Varghese, Aswani Kumar Cherukuri, Nicholas H. Doddrell, et al.
Plant Science (2023) Vol. 335, pp. 111795-111795
Closed Access | Times Cited: 10
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