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:

Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes
Uttam Kumar, J. Morel, Göran Bergkvist, et al.
Plants (2021) Vol. 10, Iss. 3, pp. 443-443
Open Access | Times Cited: 12

Showing 12 citing articles:

Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need
Mukhtar Ahmed, Rifat Hayat, Munir Ahmad, et al.
International Journal of Plant Production (2022) Vol. 16, Iss. 3, pp. 341-363
Open Access | Times Cited: 73

Earlier crop flowering caused by global warming alleviated by irrigation
Albert Muleke, Matthew Tom Harrison, Peter de Voil, et al.
Environmental Research Letters (2022) Vol. 17, Iss. 4, pp. 044032-044032
Open Access | Times Cited: 30

The effect of catch crops in spring barley on nitrate leaching and their fertilizer replacement value
Iris Vogeler, Elly Møller Hansen, Ingrid K. Thomsen
Agriculture Ecosystems & Environment (2022) Vol. 343, pp. 108282-108282
Open Access | Times Cited: 19

Performance of APSIM to Simulate the Dynamics of Winter Wheat Growth, Phenology, and Nitrogen Uptake from Early Growth Stages to Maturity in Northern Europe
Uttam Kumar, Elly Møller Hansen, Ingrid K. Thomsen, et al.
Plants (2023) Vol. 12, Iss. 5, pp. 986-986
Open Access | Times Cited: 10

Quantification of the Impact of Temperature, CO2, and Rainfall Changes on Swedish Annual Crops Production Using the APSIM Model
J. Morel, Uttam Kumar, Mukhtar Ahmed, et al.
Frontiers in Sustainable Food Systems (2021) Vol. 5
Open Access | Times Cited: 23

Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions
Facundo Nicolás Della Nave, Jonathan J. Ojeda, J. Gonzalo N. Irisarri, et al.
Agricultural Systems (2022) Vol. 201, pp. 103459-103459
Closed Access | Times Cited: 11

Research on fertilization decision method for rice tillering stage based on the coupling of UAV hyperspectral remote sensing and WOFOST
Shilong Li, Zhongyu Jin, Juchi Bai, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1

Estimation of district-level spring barley yield in southern Sweden using multi-source satellite data and random forest approach
Xueying Li, Hongxiao Jin, Lars Eklundh, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104183-104183
Open Access | Times Cited: 1

Frost risk in canola and carinata as a function of sowing date in the agricultural central region of South America
Maximiliano Verocai, Marina Castro, Santiago Manasliski, et al.
Agronomy Journal (2022) Vol. 114, Iss. 5, pp. 2920-2935
Closed Access | Times Cited: 7

Investigating the effects of APSIM model configuration on model outputs across different environments
Ranju Chapagain, Tomas A. Remenyi, Neil Huth, et al.
Frontiers in Agronomy (2023) Vol. 5
Open Access

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