Taoping Liu

About Taoping Liu

Taoping Liu, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Technology & Management, specializes in the field of Machine olfaction, Artificial olfaction, Electronic nose, Gas sensors, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Numerical Differentiation From Noisy Signals: A Kernel Regularization Method to Improve Transient-State Features for the Electronic Nose

Urinary Bladder Cancer Screening with Electronic Noses Based on Few-Shot Contrastive Representation Learning and Open-Set Recognition

The use of novel electronic nose technology to locate missing persons for criminal investigations

Review on Algorithm Design in Electronic Noses: Challenges, Status, and Trends

A Multiscale Wavelet Kernel Regularization-Based Feature Extraction Method for Electronic Nose

Artificially Intelligent Olfaction for Fast and Noninvasive Diagnosis of Bladder Cancer from Urine

Blockchain-Enabled Fish Provenance and Quality Tracking System

The Use of Electronic Nose for the Classification of Blended and Single Malt Scotch Whisky

Taoping Liu Information

University

Position

PhD Candidate Faculty of Engineering and IT

Citations(all)

257

Citations(since 2020)

255

Cited By

50

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Taoping Liu Skills & Research Interests

Machine olfaction

Artificial olfaction

Electronic nose

Gas sensors

Machine learning

Top articles of Taoping Liu

Numerical Differentiation From Noisy Signals: A Kernel Regularization Method to Improve Transient-State Features for the Electronic Nose

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2024/2/23

Urinary Bladder Cancer Screening with Electronic Noses Based on Few-Shot Contrastive Representation Learning and Open-Set Recognition

Available at SSRN 4725732

2024

The use of novel electronic nose technology to locate missing persons for criminal investigations

Iscience

2023/4/21

Review on Algorithm Design in Electronic Noses: Challenges, Status, and Trends

Intelligent Computing

2023/2/15

A Multiscale Wavelet Kernel Regularization-Based Feature Extraction Method for Electronic Nose

IEEE Transactions on Systems, Man, and Cybernetics: Systems

2022/11

Blockchain-Enabled Fish Provenance and Quality Tracking System

IEEE Internet of Things Journal

2021/9/1

The Use of Electronic Nose for the Classification of Blended and Single Malt Scotch Whisky

IEEE Sensors Journal

2022/2/1

Taoping Liu
Taoping Liu

H-Index: 4

Maiken Ueland
Maiken Ueland

H-Index: 9

Electronic Nose Sensors in Healthcare

2021/12/28

A flexible dual-structured MXene for ultra-sensitive and ultra-wide monitoring of anatomical and physiological movements

Journal of Materials Chemistry A

2021/12/21

Design of an efficient electronic nose system for odour analysis and assessment

Measurement

2020/12/1

Taoping Liu
Taoping Liu

H-Index: 4

Maiken Ueland
Maiken Ueland

H-Index: 9

One-Shot Neural Architecture Search via Novelty Driven Sampling

2020/7/11

A data-driven meat freshness monitoring and evaluation method using rapid centroid estimation and hidden Markov models

Sensors and Actuators B: Chemical

2020/5/15

See List of Professors in Taoping Liu University(University of Technology & Management)

Co-Authors

academic-engine