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Ching-Chiang Yeh · Study

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Ching-Chiang Yeh

11 works· latest 2022· 1 institutionscluster: provisionalORCID 0000-0003-2635-5208

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Citations1,277

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Most cited in this library

Forecasting tourism demand based on empirical mode decomposition and neural network2011 · 217 citations
Critical success factors for adoption of 3D printing2018 · 178 citations
Understanding the factors affecting the adoption of the Internet of Things2016 · 171 citations
A hybrid approach of DEA, rough set and support vector machines for business failure prediction2009 · 167 citations
Novel feature selection methods to financial distress prediction2013 · 129 citations

Works

11 shown

Exploring the key factors affecting the usage intention for cross-border e-commerce platforms based on DEMATEL and EDAS method

Electronic Commerce Research·2022·3 authors

42citations

Understanding the decision rules for 3D printing adoption

Technology Analysis and Strategic Management·2019·2 authors

25citations

Critical success factors for adoption of 3D printing

Technological Forecasting and Social Change·2018·2 authors

178citations

Understanding the factors affecting the adoption of the Internet of Things

Technology Analysis and Strategic Management·2016·2 authors

171citations

A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines

Cybernetics & Systems·2016·4 authors

27citations

Novel feature selection methods to financial distress prediction

Expert Systems with Applications·2013·4 authors

129citations

Going-concern prediction using hybrid random forests and rough set approach

Information Sciences·2013·2 authors

127citations

A hybrid KMV model, random forests and rough set theory approach for credit rating

Knowledge-Based Systems·2012·3 authors

111citations

Forecasting tourism demand based on empirical mode decomposition and neural network

Knowledge-Based Systems·2011·3 authors

217citations

The use of hybrid manifold learning and support vector machines in the prediction of business failure

Knowledge-Based Systems·2010·3 authors

83citations

A hybrid approach of DEA, rough set and support vector machines for business failure prediction

Expert Systems with Applications·2009·3 authors

167citations