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Rui Liang
Institution:
Tianjin University
Observed institution:
Tianjin University
ORCID:
0000-0001-5169-9067
Observed ORCID:
0000-0001-5169-9067
OpenAlex ID:
A5101604246
Characteristics prediction of hydrothermal biochar using data enhanced interpretable machine learning
2023
·
Chao Chen
, Zhi Wang
, et al.
·
Bioresource Technology
·
75
Combination of hyperspectral imaging and machine learning models for fast characterization and classification of municipal solid waste
2022
·
Junyu Tao
, Yude Gu
, et al.
·
Resources Conservation and Recycling
·
58
Fast characterization of biomass and waste by infrared spectra and machine learning models
2019
·
Junyu Tao
, Rui Liang
, et al.
·
Journal of Hazardous Materials
·
54
Fast Characterization of Biomass Pyrolysis Oil Via Combination of Atr-Ftir and Machine Learning Models
2022
·
Chao Chen
, Rui Liang
, et al.
·
Renewable Energy
·
46
Fast identification and characterization of residual wastes via laser-induced breakdown spectroscopy and machine learning
2021
·
Beibei Yan
, Rui Liang
, et al.
·
Resources Conservation and Recycling
·
44
Intelligent technologies powering clean incineration of municipal solid waste: A system review
2024
·
Junyu Tao
, Zaixin Li
, et al.
·
The Science of The Total Environment
·
39
Simulation of integrated anaerobic digestion-gasification systems using machine learning models
2022
·
Yadong Ge
, Junyu Tao
, et al.
·
Bioresource Technology
·
24
Simulation and optimization of co-pyrolysis biochar using data enhanced interpretable machine learning and particle swarm algorithm
2024
·
Chao Chen
, Rui Liang
, et al.
·
Biomass and Bioenergy
·
23
Interpretable machine learning assisted spectroscopy for fast characterization of biomass and waste
2023
·
Rui Liang
, Chao Chen
, et al.
·
Waste Management
·
23
Technologies integration towards bio-fuels production: A state-of-the-art review
2022
·
Junyu Tao
, Yadong Ge
, et al.
·
Applications in Energy and Combustion Science
·
22
PDF
A conceptual sorting strategy of municipal solid waste towards efficient gasification
2024
·
Rui Liang
, Chao Chen
, et al.
·
Energy Conversion and Management
·
10
State-of-the-art applications of machine learning in the life cycle of solid waste management
2022
·
Rui Liang
, Chao Chen
, et al.
·
Frontiers of Environmental Science & Engineering
·
7
Influence of calcination temperature on the evolution of α-MoO3 nanosheets catalyst for aqueous phase reforming of biogas slurry
2023
·
Jian Wang
, Yuxuan Chen
, et al.
·
Fuel
·
5
Thermal kinetic parameters based classification method of residual waste oriented for efficient energy utilization
2024
·
Rui Liang
, Chao Chen
, et al.
·
Journal of Cleaner Production
·
3
Bio-diesel quality characterization towards bio-jet fuel production using infrared spectroscopy and an interpretable machine learning framework
2026
·
Chao Chen
, Rui Liang
, et al.
·
Journal of Environmental Management
·
2
Elemental composition oriented biomass wastes sorting method towards efficient downstream energy recovery
2024
·
Rui Liang
, Junyu Tao
, et al.
·
Journal of Environmental Management
·
2
Pyrolytic homogeneity enhancement of municipal solid waste using a clustering-based sorting strategy
2024
·
Zilin Guo
, Rui Liang
, et al.
·
Waste Management
·
2
Machine learning assisted-hyperspectral imaging for in-situ evaluation of compost maturity
2026
·
Jianmei Zou
, Shengui Tang
, et al.
·
Waste Management
·
1
Overall Simulation of Integrated Anaerobic Digestion-Gasification Systems Using Machine Learning Models
2022
·
Yadong Ge
, Junyu Tao
, et al.
·
SSRN Electronic Journal
·
1
Aqueous phase reforming of distiller's grain derived biogas Plant wastewater over α-MoO3 nanosheets
2021
·
Jian Wang
, Zibiao Liu
, et al.
·
Chemical Engineering Journal
·
1
A sorting algorithm driven mechanical device for post-identification sorting of municipal solid waste: robustness against shape, mass, and speed variations
2026
·
Guanyi Chen
, Xianjia Jiang
, et al.
·
Journal of Material Cycles and Waste Management
Will artificial intelligence challenge human in innovative works?– a perspective in environmental research
2026
·
Yuxuan Chen
, Junyu Tao
, et al.
·
Carbon Neutral Systems
PDF
Rapid Identification of Hazardous Waste from the Steel Industry Based on Machine Learning-Driven Infrared Spectroscopy
2026
·
Guanyi Chen
, Sen Yang
, et al.
·
SSRN Electronic Journal
PDF
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Works count:
23
Citation count:
441
H-index:
10
I10-index:
11
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