International Journal of Plant Production

Papers
(The H4-Index of International Journal of Plant Production is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
System of Crop Rotation: A Prospective Strategy Alleviating Grain Yield Penalty in Sustainable Aerobic Rice Production71
Synergistic Effects of Combined Foliar Fertilizers on Growth, Stress Tolerance, and Yield of High-quality Japonica Rice39
Key Factors for Closing the Soybean Yield Gap in Brazil’s Leading Producing Region27
Optimized Soil Nitrogen Management for Enhanced Photosynthetic Efficiency and Yield in High-Quality Japonica Rice in the Taihu Lake Region25
Soil Breaking Mechanisms Increase Phosphorus, Potassium, and Water Use Efficiency of Soybeans Under Dry Season in Paddy Fields in Southern Brazil23
Sustaining Rice-Wheat System Through Integrated Nutrient Management via FYM or Sesbania Aculeata in India on Long Term Basis21
Exploring Optimal Combinations of Green Manures, Composts, and Microbial Inoculums to Boost Soil Biological Properties, Nutrient Release, and Basmati Rice Yield17
How the Economic Risk Management Influence Sugar Beet Production Methods in Different Irrigation Regimes and Plant Densities in Iran?17
Assessing the Influence of Potassium Fertilizer Variations on Growth, Yield, and Crop Quality of Sugarcane (Saccharum officinarum L.) Genotypes16
Sustaining Productivity while Reducing Methane Emission in Calcareous Soils: Implications of Combining Inorganic Fertilizer and Biochar16
Nitrogen Management Strategies to Improve Crop Performance, Recovery Efficiency and Their Relationship with Physiological Indices in Dry Direct-Seeded Rice15
Performance of Wheat Cultivars Under Different Tillage and Crop Establishment Methods15
In-Season Estimation of Wheat Response to Nitrogen Using Normalized Difference Vegetation Index15
Applications of AMMI Bayesian Models in Soybean Production Variables in the State of Mato Grosso, Brazil, from 1990 to 202014
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