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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:

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise
Daniel Wallach, Taru Palosuo, Peter J. Thorburn, et al.
Environmental Modelling & Software (2021) Vol. 145, pp. 105206-105206
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Geospatial assessment of elevated agrivoltaics on arable land in Europe to highlight the implications on design, land use and economic level
Brecht Willockx, Cas Lavaert, Jan Cappelle
Energy Reports (2022) Vol. 8, pp. 8736-8751
Open Access | Times Cited: 46
Modeling the impacts of projected climate change on wheat crop suitability in semi-arid regions using the AHP-based weighted climatic suitability index and CMIP6
Karam Alsafadi, Shuoben Bi, Hazem Ghassan Abdo, et al.
Geoscience Letters (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 40
Within-season crop yield prediction by a multi-model ensemble with integrated data assimilation
Hossein Zare, Tobias K. D. Weber, Joachim Ingwersen, et al.
Field Crops Research (2024) Vol. 308, pp. 109293-109293
Open Access | Times Cited: 9
A calibration protocol for soil-crop models
Daniel Wallach, Samuel Buis, Diana-Maria Seserman, et al.
Environmental Modelling & Software (2024) Vol. 180, pp. 106147-106147
Open Access | Times Cited: 9
Bayesian calibration of management practices for a crop model implemented in a subsistence farming region
Diego Quintero, Vikalp Mishra, Ashutosh Limaye, et al.
European Journal of Agronomy (2025) Vol. 164, pp. 127524-127524
Open Access | Times Cited: 1
Proposal and extensive test of a calibration protocol for crop phenology models
Daniel Wallach, Taru Palosuo, Peter J. Thorburn, et al.
Agronomy for Sustainable Development (2023) Vol. 43, Iss. 4
Open Access | Times Cited: 18
SIMPLACE—a versatile modelling and simulation framework for sustainable crops and agroecosystems
Andreas Enders, Murilo dos Santos Vianna, Thomas Gaiser, et al.
in silico Plants (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 17
Improving crop yield prediction accuracy by embedding phenological heterogeneity into model parameter sets
Simone Bregaglio, Fabrizio Ginaldi, Elisabetta Raparelli, et al.
Agricultural Systems (2023) Vol. 209, pp. 103666-103666
Open Access | Times Cited: 15
Improving winter wheat yield prediction by accounting for weather and model parameter uncertainty while assimilating LAI and updating weather data within a crop model
Hossein Zare, Michelle Viswanathan, Tobias K. D. Weber, et al.
European Journal of Agronomy (2024) Vol. 156, pp. 127149-127149
Open Access | Times Cited: 6
Cross model validation for a diversified cropping system
Ixchel M. Hernández-Ochoa, Thomas Gaiser, Kathrin Grahmann, et al.
European Journal of Agronomy (2024) Vol. 157, pp. 127181-127181
Open Access | Times Cited: 6
Same soil, different climate: Crop model intercomparison on translocated lysimeters
Jannis Groh, Efstathios Diamantopoulos, Xiaohong Duan, et al.
Vadose Zone Journal (2022) Vol. 21, Iss. 4
Open Access | Times Cited: 22
Plant science in the age of simulation intelligence
Michiel Stock, Olivier Pieters, Tom De Swaef, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4
Enhancing crop model parameter estimation across computing environments: Utilizing the GLUE method and parallel computing for determining genetic coefficients
Thiago Berton Ferreira, Vakhtang Shelia, Cheryl Porter, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109513-109513
Closed Access | Times Cited: 4
Calibration of a crop growth model in APSIM for 15 publicly available corn hybrids in North America
Cassandra Anne Winn, Sotirios V. Archontoulis, Jode W. Edwards
Crop Science (2022) Vol. 63, Iss. 2, pp. 511-534
Open Access | Times Cited: 18
Crop modeling to address climate change challenges in Africa: status, gaps, and opportunities
Mohamed Amine Benaly, Youssef Brouziyne, Mohamed Hakim Kharrou, et al.
Mitigation and Adaptation Strategies for Global Change (2025) Vol. 30, Iss. 2
Closed Access
Refining type and timing of measured crop variables for the calibration of a new winter wheat cultivar in the STICS crop model
Meije Gawinowski, Maël Aubry, Samuel Buis, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Leveraging temporal variability in global sensitivity analysis of the Daisy soil-plant-atmosphere model
Laura Delhez, Benjamin Dumont, Bernard Longdoz
European Journal of Agronomy (2025) Vol. 165, pp. 127533-127533
Closed Access
Integrating crop models, single nucleotide polymorphism, and climatic indices to develop genotype-environment interaction model: A case study on rice flowering time
Jinhan Zhang, Shaoyuan Zhang, Yubin Yang, et al.
Plant Phenomics (2025), pp. 100007-100007
Open Access
Pedotransfer Functions Versus Model Structure: What Drives Variance in Agro‐Hydrological Model Results?
Maria Eliza Turek, Johannes Wilhelmus Maria Pullens, Katharina Meurer, et al.
European Journal of Soil Science (2025) Vol. 76, Iss. 2
Open Access
Optimizing the MoSt GG model a sensitivity-driven calibration for better grass growth forecasting
L. Bonnard, Luc Delaby, Michael D. Murphy, et al.
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110288-110288
Closed Access
Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning
Lily‐belle Sweet, Ioannis N. Athanasiadis, Ron van Bree, et al.
One Earth (2025) Vol. 8, Iss. 4, pp. 101233-101233
Open Access
Knowledge-guided machine learning with multivariate sparse data for crop growth modelling
Jingye Han, Liangsheng Shi, Qi Yang, et al.
Field Crops Research (2025) Vol. 328, pp. 109912-109912
Open Access
Evaluating the AgMIP calibration protocol for crop models; case study and new diagnostic tests
Daniel Wallach, Kwang Soo Kim, Shinwoo Hyun, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127659-127659
Open Access
Selecting crop variables and parameters for the calibration of a new cultivar in a crop model: A case study of winter wheat for STICS
Meije Gawinowski, Maël Aubry, Samuel Buis, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127677-127677
Open Access
Exploring climate change impacts and adaptation strategies in crop production by using process-based crop simulation models
Ixchel M. Hernández-Ochoa
Acta Horticulturae (2025), Iss. 1425, pp. 411-420
Closed Access
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