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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:

TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield
Jinlong Li, Dongfeng Zhang, Feng Yang, et al.
Plant Communications (2024) Vol. 5, Iss. 7, pp. 100975-100975
Open Access | Times Cited: 11

Showing 11 citing articles:

Big data and artificial intelligence‐aided crop breeding: Progress and prospects
Wanchao Zhu, Weifu Li, Hongwei Zhang, et al.
Journal of Integrative Plant Biology (2024)
Open Access | Times Cited: 5
Application of machine learning and genomics for orphan crop improvement
Tessa R. MacNish, Monica F. Danilevicz, Philipp E. Bayer, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
HGATGS: Hypergraph Attention Network for Crop Genomic Selection
Xuliang He, Kaiyi Wang, Liyang Zhang, et al.
Agriculture (2025) Vol. 15, Iss. 4, pp. 409-409
Open Access
Multi-view hypergraph networks incorporating interpretability analysis for predicting lodging in corn varieties
Kaiyi Wang, Feng Yang, Wenqin Bai, et al.
Computers and Electronics in Agriculture (2025) Vol. 233, pp. 110197-110197
Closed Access
Fast‐forwarding plant breeding with deep learning‐based genomic prediction
Shang Gao, Tingxi Yu, Awais Rasheed, et al.
Journal of Integrative Plant Biology (2025)
Open Access
HUMRC-PS: Revolutionizing plant phenotyping through Regional Convolutional Neural Networks and Pelican Search Optimization
P. Rajesh Kumar, A. Senthilselvi, I. Manju, et al.
Evolving Systems (2024) Vol. 15, Iss. 6, pp. 2211-2230
Closed Access | Times Cited: 3
DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data
Jinchen Li, Zikang He, Guomin Zhou, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 2756-2756
Open Access | Times Cited: 2
Revolutionizing Crop Breeding: Next-Generation Artificial Intelligence and Big Data-Driven Intelligent Design
Ying Zhang, Guanmin Huang, Yanxin Zhao, et al.
Engineering (2024) Vol. 44, pp. 245-255
Open Access | Times Cited: 2
Using the Pearson’s correlation coefficient as the sole metric to measure the accuracy of quantitative trait prediction: is it sufficient?
Shouhui Pan, Zhongqiang Liu, Yanyun Han, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Identification, characterization, and design of plant genome sequences using deep learning
Zhenye Wang, Hao Yuan, Jianbing Yan, et al.
The Plant Journal (2024)
Open Access | Times Cited: 1
High plasticity increases phenotype-environment mismatch leading to sub-optimal performance in underutilized crop species
Ganesh Alagarasan, Pieter A. Arnold, Eswarayya Ramireddy
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Multi-View Hypergraph Networks Incorporating Interpretability Analysis Predict Lodging in Corn Varieties
Kaiyi Wang, Feng Yang, Wenqin Bai, et al.
(2024)
Closed Access
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