OOIR: Observatory of International Research

Papers

(The H4-Index of Plant Phenomics is 23. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Robust High-Throughput Phenotyping with Deep Segmentation Enabled by a Web-Based Annotator	57
A Mechanistic Model for Estimating Rice Photosynthetic Capacity and Stomatal Conductance from Sun-Induced Chlorophyll Fluorescence	50
Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation	47
The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field	47
Rice Plant Counting, Locating, and Sizing Method Based on High-Throughput UAV RGB Images	43
Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images	40
Enhancing Green Fraction Estimation in Rice and Wheat Crops: A Self-Supervised Deep Learning Semantic Segmentation Approach	39
Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View	36
Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning	36
Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping	35
Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices	33
Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data	32
Enabling Breeding Selection for Biomass in Slash Pine Using UAV-Based Imaging	32
Rape Yield Estimation Considering Non-Foliar Green Organs Based on the General Crop Growth Model	28
Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging	27
Detection and Reconstruction of Passion Fruit Branches via CNN and Bidirectional Sector Search	25
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning	25
Drone-Based Digital Phenotyping to Evaluating Relative Maturity, Stand Count, and Plant Height in Dry Beans (Phaseolus vulgaris L.)	24
The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat	24
EasyDAM_V2: Efficient Data Labeling Method for Multishape, Cross-Species Fruit Detection	24
Assessing the Storage Root Development of Cassava with a New Analysis Tool	23
3dCAP-Wheat: An Open-Source Comprehensive Computational Framework Precisely Quantifies Wheat Foliar, Nonfoliar, and Canopy Photosynthesis	23
Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing	23
How Useful Is Image-Based Active Learning for Plant Organ Segmentation?	23