Citation sources

Updated weekly. Details via Crossref

Crossref	Scopus	Google Scholar
8	7	Search

2026	Predicting Eriochloa villosa (Thunb.) Kunth invasion in Northeast China using an R-Optimized MaxEnt model European Journal of Agronomy Yuetian Gao, Wenli Liu, Tao Chen, Yixian Li, Zhi Xiong, Mingshan Ji
2025	Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change Ecography Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez
2025	Distribution pattern and habitat suitability modelling of an invasive plant species – Solanum viarum Dunal Journal for Nature Conservation Saima Jan, Awdhesh Kumar Mishra, Sumreen Amin Shah, Mujtaba Aamir Bhat, Zishan Ahmad Wani, Arif Tasleem Jan
2025	Advancing agriculture with machine learning: a new frontier in weed management Frontiers of Agricultural Science and Engineering
2025	Forestry Sciences Manendra Singh, Amit Bijlwan, Gopal Shukla, Sumit Chakravarty
2024	The impact of multifactorial stress combination on plants, crops, and ecosystems: how should we prepare for what comes next? The Plant Journal Sara I. Zandalinas, María Ángeles Peláez‐Vico, Ranjita Sinha, Lidia S. Pascual, Ron Mittler
2024	Spatial Models of Solar and Terrestrial Radiation Budgets and Machine Learning: A Review Remote Sensing Julián Guillermo García Pedreros, Susana Lagüela López, Manuel Rodríguez Martín
2023	Assessing the Potential Distribution of Oxalis latifolia, a Rapidly Spreading Weed, in East Asia under Global Climate Change Plants Anil Poudel, Pradeep Adhikari, Chae Sun Na, June Wee, Do-Hun Lee, Yong Ho Lee, Sun Hee Hong