Kunhao Yang

Lecturer

Yamaguchi University

Japan

Research Interests

Explore related searches

Professors in Japan

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Kunhao Yang is a Lecturer at Yamaguchi University in Japan. His research focuses on knowledge production in collaborative environments, with recent articles examining topics such as the role of social influence in online reviews, co-production patterns in Wikipedia, and the communication of scientific discourse during the COVID-19 pandemic. He is particularly interested in how knowledge is constructed and disseminated in the context of emerging issues like climate change and microplastics.

Articles (13)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (2)

Yuko Fujigaki

Professor

The Univeristy of Tokyo

JAPAN

View details

DONGWOO LIM

Assistant Professor

Kansai University

JAPAN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Kunhao Yang

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

Polarized collaboration benefits knowledge production: empirical analyses of the mediating effect of co-production pattern in Wikipedia articles on climate change

Crowdsourcing Knowledge Production of COVID-19 Information on Japanese Wikipedia in the Face of Uncertainty: Empirical Analysis

Social influence makes outlier opinions in online reviews offer more helpful information

On an effective and efficient method for exploiting the wisdom of the inner crowd

Constitutive and Material: An Empirical Analysis of the Two Dimensions of the Communication on Microplastics in Japanese Journals

Introducing an “invisible enemy”: A case study of knowledge construction regarding microplastics in Japanese Wikipedia

The variant of efforts avoiding strain: successful correction of a scientific discourse related to COVID-19

Media Communication in the COVID-19 Pandemic and its Issues

Cooperation patterns of members in networks during co-creation

More knowledge causes a focused attention deployment pattern leading to lower creative performances

Cooperation patterns of members in networks during co-creation

Interplay of network structure and neighbour performance in user innovation

Predicting Tie Strength of Chinese Guanxi by Using Big Data of Social Networks

Collaborators (2)

Yuko Fujigaki

DONGWOO LIM

Make your next move.