Xiang'zi Leng

Prediction of size-fractionated airborne particle-bound metals using MLR, BP-ANN and SVM analyses.

Huiming Li, Fengying Li, Hui-ming Li, 2017, Chemosphere.

Prediction of heavy metals in airborne fine particulate matter using magnetic parameters by machine learning from a metropolitan city in China

Hui-ming Li, Xin Qian, Xiang'zi Leng, 2022, Atmospheric Pollution Research.

Magnetic Properties as a Proxy for Predicting Fine-Particle-Bound Heavy Metals in a Support Vector Machine Approach.

Huiming Li, Hui-ming Li, Xin Qian, 2017, Environmental science & technology.

Application of the QUAL2K model to design an ecological purification scheme for treated effluent of a wastewater treatment plant.

Hui-ming Li, Xin Qian, Xiang'zi Leng, 2015, Water science and technology : a journal of the International Association on Water Pollution Research.

Leaf magnetic properties as a method for predicting heavy metal concentrations in PM2.5 using support vector machine: A case study in Nanjing, China.

Huiming Li, Hui-ming Li, Xin Qian, 2018, Environmental pollution.

Response of magnetic properties to metal deposition on urban green in Nanjing, China

Hui-ming Li, Xin Qian, Xiang'zi Leng, 2017, Environmental Science and Pollution Research.