Bin-Le Lin

Predicting the acute ecotoxicity of chemical substances by machine learning using graph theory.

Masaaki Hosomi, Michiyoshi Takata, Bin-Le Lin, 2019, Chemosphere.

An all-in-one tool for multipurpose ecological risk assessment and management (MeRAM) of chemical substances in aquatic environment.

Bin-Le Lin, Wataru Naito, Yaobin Meng, 2020, Chemosphere.

Sustainability assessment of bioethanol and petroleum fuel production in Japan based on emergy analysis

Bin-Le Lin, Masayuki Sagisaka, Jin’e Liu, 2012 .

Interactions among energy consumption, economic development and greenhouse gas emissions in Japan after World War II

Bin-Le Lin, Hai Ren, Masayuki Sagisaka, 2016 .

Approaches for establishing predicted-no-effect concentrations for population-level ecological risk assessment in the context of chemical substances management.

Bin-Le Lin, Akihiro Tokai, Junko Nakanishi, 2005, Environmental science & technology.

Biofuel vs. biodiversity? Integrated emergy and economic cost-benefit evaluation of rice-ethanol production in Japan

Bin-Le Lin, Hai Ren, Masayuki Sagisaka, 2012 .

A feed-forward artificial neural network for prediction of the aquatic ecotoxicity of alcohol ethoxylate.

Bin-Le Lin, Yaobin Meng, B. Lin, 2008, Ecotoxicology and environmental safety.