Chong Liu

Chong Liu

University of California, Los Angeles

H-index: 39

North America-United States

About Chong Liu

Chong Liu, With an exceptional h-index of 39 and a recent h-index of 34 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Nanomaterials, (Photo)electrochemistry, Microbiology, CO2/N2 Fixation, Machine Learning.

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

Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation

Unexpected metabolic rewiring of CO2 fixation in H2-mediated materials–biology hybrids

Enhancing the Value of Large-Enrollment Course Evaluation Data Using Sentiment Analysis

Tuning electrode reactivity through organometallic complexes

What and how can machine learning help to decipher mechanisms in molecular electrochemistry?

Spatiotemporal control for integrated catalysis

Investigating limitations of biohybrid photoelectrode using synchronized spectroelectrochemistry

Polyketones from Carbon Dioxide and Ethylene by Integrating Electrochemical and Organometallic Catalysis

Chong Liu Information

University

Position

PhD: UC Berkeley; Postdoc: Harvard; Assistant professor:

Citations(all)

12114

Citations(since 2020)

6323

Cited By

8542

hIndex(all)

39

hIndex(since 2020)

34

i10Index(all)

56

i10Index(since 2020)

53

Email

University Profile Page

Google Scholar

Chong Liu Skills & Research Interests

Nanomaterials

(Photo)electrochemistry

Microbiology

CO2/N2 Fixation

Machine Learning

Top articles of Chong Liu

Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation

Nature Communications

2024/3/30

Unexpected metabolic rewiring of CO2 fixation in H2-mediated materials–biology hybrids

Proceedings of the National Academy of Sciences

2023/10/17

Enhancing the Value of Large-Enrollment Course Evaluation Data Using Sentiment Analysis

2023/9/15

Tuning electrode reactivity through organometallic complexes

2023/6/9

What and how can machine learning help to decipher mechanisms in molecular electrochemistry?

2023/4/21

Spatiotemporal control for integrated catalysis

2023/4/6

Investigating limitations of biohybrid photoelectrode using synchronized spectroelectrochemistry

Joule

2023/3/15

Polyketones from Carbon Dioxide and Ethylene by Integrating Electrochemical and Organometallic Catalysis

ACS Catalysis

2023/3/9

Synergistic Material-Microbe Interface toward Deeper Anaerobic Defluorination

2023/1/9

The art of compartment design for synthetic catalysts

Inorganic Chemistry Frontiers

2023

Maximizing light-driven CO2 and N2 fixation efficiency in quantum dot–bacteria hybrids

Nature catalysis

2022/11

Tuning reactivity through modifications of organometallic complexes on an electrode surface

2022/10/14

Ammonia synthesis methods and systems

2023/1/5

Interface engineering gives enhanced selectivity in electrochemical nitrogen reduction reaction

Chem Catalysis

2022/8/18

Machine learning–based inverse design for electrochemically controlled microscopic gradients of O2 and H2O2

Proceedings of the National Academy of Sciences

2022/8/9

Electrochemical mechanistic analysis from cyclic voltammograms based on deep learning

ACS Measurement Science Au

2022/8/31

Spatial decoupling boosts CO2 electro-biofixation

Nature Catalysis

2022/5

Bisulfate as a Redox-active Ligand in Vanadium-based Electrocatalysis for CH 4 Functionalization

Chemical Communications

2022

A Generalized Kinetic Model for Compartmentalization of Organometallic Catalysis

Chemical science

2022

See List of Professors in Chong Liu University(University of California, Los Angeles)

Co-Authors

academic-engine