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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:

Multi-Source Data Fusion Improves Time-Series Phenotype Accuracy in Maize under a Field High-Throughput Phenotyping Platform
Yinglun Li, Weiliang Wen, Jiangchuan Fan, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 19

Showing 19 citing articles:

Accurate and semantic 3D reconstruction of maize leaves
Weiliang Wen, Sheng Wu, Xianju Lu, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108566-108566
Closed Access | Times Cited: 5
YOMASK: An instance segmentation method for high-throughput phenotypic platform lettuce images
Yue Zhao, Tao Li, Weiliang Wen, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109868-109868
Closed Access
Comprehensive review on 3D point cloud segmentation in plants
Hongli Song, Weiliang Wen, Sheng Wu, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
3D time-series phenotyping of lettuce in greenhouses
Hanyu Ma, Weiliang Wen, Wenbo Gou, et al.
Biosystems Engineering (2025) Vol. 250, pp. 250-269
Closed Access
Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula
Xiong Deng, Haiyang Pang, Yao Fu, et al.
Plant Phenomics (2025), pp. 100020-100020
Open Access
Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery
Shuaipeng Fei, Yiwei Jia, Lei Li, et al.
Plant Phenomics (2025), pp. 100017-100017
Open Access
Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula
Xiong Deng, Haiyang Pang, Yao Fu, et al.
Plant Phenomics (2025), pp. 100006-100006
Open Access
StatFaRmer: cultivating insights with an advanced R shiny dashboard for digital phenotyping data analysis
Daniil S. Ulyanov, Alana A. Ulyanova, Dmitry Litvinov, et al.
Frontiers in Plant Science (2025) Vol. 16
Open Access
Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling
Hui Yu, Lin Weng, Songquan Wu, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 3
Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence
Yandong Wu, Weiliang Wen, Shenghao Gu, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 3
Extraction of Corn Plant Phenotypic Parameters with Keypoint Detection and Stereo Images
Yuliang Gao, Zhen Li, Bin Li, et al.
Agronomy (2024) Vol. 14, Iss. 6, pp. 1110-1110
Open Access | Times Cited: 3
DC2Net: An Asian soybean rust detection model based on hyperspectral imaging and deep learning
Jiarui Feng, Shenghui Zhang, Zhaoyu Zhai, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 2
Standard Framework Construction of Technology and Equipment for Big Data in Crop Phenomics
Weiliang Wen, Shenghao Gu, Ying Zhang, et al.
Engineering (2024)
Open Access | Times Cited: 2
Cotton morphological traits tracking through spatiotemporal registration of terrestrial laser scanning time-series data
Javier Rodriguez-Sanchez, John L. Snider, Kyle Johnsen, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Drone-Based Harvest Data Prediction Can Reduce On-Farm Food Loss and Improve Farmer Income
Haozhou Wang, Li Tang, Erika Nishida, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 4
A two-stage leaf-stem separation model for maize with high planting density with Terrestrial, Backpack and UAV based Laser Scanning
Lei Lei, Zhenhong Li, Hao Yang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-19
Closed Access
Wheat growth stage identification method based on multimodal data
Yong Li, Yinchao Che, Handan Zhang, et al.
European Journal of Agronomy (2024) Vol. 162, pp. 127423-127423
Closed Access
A high-throughput method for monitoring growth of lettuce seedlings in greenhouses based on enhanced Mask2Former
Wei Xiao, Shihua Zhao, Xianju Lu, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109681-109681
Closed Access
РАЗРАБОТКА ПЛАТФОРМЫ ДЛЯ ОБРАБОТКИ И ВИЗУАЛИЗАЦИИ ФЕНОТИПИЧЕСКИХ ДАННЫХ
Д.Ю. Ульянов, А.А. Ульянова, Д.Ю. Литвинов, et al.
(2024), pp. 136-137
Closed Access
Technology and Equipment of Big Data on Crop Phenomics
Weiliang Wen, Xinyu Guo, Ying Zhang, et al.
Strategic Study of CAE (2023) Vol. 25, Iss. 4, pp. 227-227
Open Access | Times Cited: 1
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