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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:

Incorporating genome-wide association into eco-physiological simulation to identify markers for improving rice yields
Niteen Kadam, S. V. Krishna Jagadish, P.C. Struik, et al.
Journal of Experimental Botany (2019) Vol. 70, Iss. 9, pp. 2575-2586
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Towards a multiscale crop modelling framework for climate change adaptation assessment
Bin Peng, Kaiyu Guan, Jinyun Tang, et al.
Nature Plants (2020) Vol. 6, Iss. 4, pp. 338-348
Closed Access | Times Cited: 223
Improving crop yield potential: Underlying biological processes and future prospects
Alexandra J. Burgess, Céline Masclaux‐Daubresse, Günter Strittmatter, et al.
Food and Energy Security (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 44
Machine learning versus crop growth models: an ally, not a rival
Ningyi Zhang, Xiaohan Zhou, Mengzhen Kang, et al.
AoB Plants (2022) Vol. 15, Iss. 2
Open Access | Times Cited: 38
Plant and crop simulation models: powerful tools to link physiology, genetics, and phenomics
Bertrand Muller, Pierre Martre
Journal of Experimental Botany (2019) Vol. 70, Iss. 9, pp. 2339-2344
Open Access | Times Cited: 72
The case for improving crop carbon sink strength or plasticity for a CO2-rich future
Michaël Dingkuhn, Delphine Luquet, Denis Fabre, et al.
Current Opinion in Plant Biology (2020) Vol. 56, pp. 259-272
Open Access | Times Cited: 63
A model-guided holistic review of exploiting natural variation of photosynthesis traits in crop improvement
Xinyou Yin, Junfei Gu, Michaël Dingkuhn, et al.
Journal of Experimental Botany (2022) Vol. 73, Iss. 10, pp. 3173-3188
Open Access | Times Cited: 28
Improving C4 photosynthesis to increase productivity under optimal and suboptimal conditions
Cristina Rodrigues Gabriel Sales, Yu Wang, Jochem B. Evers, et al.
Journal of Experimental Botany (2021) Vol. 72, Iss. 17, pp. 5942-5960
Open Access | Times Cited: 39
On the needs for combining physiological principles and mathematics to improve crop models
Xinyou Yin, P.C. Struik, J. Goudriaan
Field Crops Research (2021) Vol. 271, pp. 108254-108254
Open Access | Times Cited: 33
Modelling the impact of improved photosynthetic properties on crop performance in Europe
Jeremy Harbinson, Xinyou Yin
Food and Energy Security (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
The potential of crop models in simulation of barley quality traits under changing climates: A review
Ehsan Eyshi Rezaei, Luis Vargas-Rojas, Wanxue Zhu, et al.
Field Crops Research (2022) Vol. 286, pp. 108624-108624
Open Access | Times Cited: 11
Integration of Crop Growth Models and Genomic Prediction
Akio Onogi
Methods in molecular biology (2022), pp. 359-396
Open Access | Times Cited: 10
Characterization of adaptation mechanisms in sorghum using a multireference back-cross nested association mapping design and envirotyping
Vincent Garin, Chiaka Diallo, Mohamed Lamine Tékété, et al.
Genetics (2024) Vol. 226, Iss. 4
Open Access | Times Cited: 1
Prognostic Nomogram for Liver Metastatic Colon Cancer Based on Histological Type, Tumor Differentiation, and Tumor Deposit: A TRIPOD Compliant Large-Scale Survival Study
Le Kuai, Ying Zhang, Ying Luo, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 11
Integration of Genomics with Crop Modeling for Predicting Rice Days to Flowering: A Multi-Model Analysis
Yubin Yang, Lloyd T. Wilson, Tao Li, et al.
Field Crops Research (2021) Vol. 276, pp. 108394-108394
Open Access | Times Cited: 11
Upcycling rice yield trial data using a weather-driven crop growth model
Hiroyuki Shimono, Akira Abe, Chyon Hae Kim, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 3
Traits and trade-offs: dissecting nitrogen use efficiency in maize using plant modeling
Jie Lu
(2024)
Open Access
Genome-Wide Association Study Reveals Loci and New Candidate Gene Controlling Seed Germination in Rice
Shaona Chen, Guanlong Chen, Z. H. Peng, et al.
Agriculture (2024) Vol. 14, Iss. 9, pp. 1613-1613
Open Access
Integrating genomics with crop modelling to predict maize yield and component traits: Towards the next generation of crop models
Xiaoxing Zhen, Jingyun Luo, Yingjie Xiao, et al.
European Journal of Agronomy (2024) Vol. 162, pp. 127391-127391
Closed Access
Crops under continuous cultivation exhibit less plasticity than those under interrupted cultivation
Ganesh Alagarasan, Rajeev K. Varshney, Eswarayya Ramireddy
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Ecophysiological Crop Modelling Combined with Genetic Analysis Is a Powerful Tool for Ideotype Design
Junfei Gu
Agronomy (2022) Vol. 12, Iss. 1, pp. 215-215
Open Access | Times Cited: 3
Linking genetic markers with an eco‐physiological model to pyramid favourable alleles and design wheat ideotypes
Yibo Li, Fulu Tao, Yuanfeng Hao, et al.
Plant Cell & Environment (2022) Vol. 46, Iss. 3, pp. 780-795
Closed Access | Times Cited: 2
Advancement in Tracking Down Nitrogen Use Efficiency in Rice: Molecular Breeding and Genomics Insight
Supratim Basu, Brian Jenkins
Springer eBooks (2020), pp. 291-305
Closed Access | Times Cited: 2
Transcriptomics Applied to Rice Grain Quality
Carlos Busanello, Railson Schreinert dos Santos, Vívian Ebeling Viana
Springer eBooks (2020), pp. 445-472
Closed Access | Times Cited: 1
Can Genotypic Differences in Rice Response to Elevated CO 2 be Predicted with Proxy Traits Measured under Ambient CO 2 Levels?
Michaël Dingkuhn, Denis Fabre, Apolline Chemier, et al.
Authorea (Authorea) (2023)
Open Access
Genetic analysis of genotype-specific parameters in the DSSTA-CROPGRO-soybean phenology simulation model via a multi-GWAS method
Wenliang Yan, Haiyan Jiang, Junjie Xu, et al.
Field Crops Research (2023) Vol. 304, pp. 109165-109165
Closed Access
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