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Sheng-Chih Chen

dblp:99/2977 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2017
0000-0003-1550-5418ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-authorArtificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 75% Computational science and engineering · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological database
biological database search
0.011998
GeneFIND web server for protein family identification and information retrieval · Bioinform. 1998
Computational science and engineering
information retrieval
0.011998
GeneFIND web server for protein family identification and information retrieval · Bioinform. 1998
Bioinformatics and computational biology › protein sequence analysis › protein family analysis
protein family identification
0.011998
GeneFIND web server for protein family identification and information retrieval · Bioinform. 1998
Bioinformatics and computational biology › sequence analysis › sequence similarity search
sequence database search
0.011998
GeneFIND web server for protein family identification and information retrieval · Bioinform. 1998
YearPublicationVenuePosition
2017 Using English Learning Toys as the Emotional Analysis Tool to Evaluate Children Behavior
Shian-Chi Meng, Wei-Kuang Ho, Chih-Hsuan Tsui, Sheng-Chih Chen
ICCE6
2017 Data Mining Techniques vs. Policy Development: Evaluating Advanced Applied Technological Policies and Emerging Communication Technology
abstract
To effectively promote the development of national science and technology research, and evaluate the impact that emerging technologies on society culture and people's livelihood by taking into account the economic and social factors, this study has conducted feasibility analysis on evaluation of impact of science and technology on Taiwan. It establishes the parameters for such evaluation including: emerging technology introduction, creative industrial upgrading, knowledge about science and technology related policies known by the public, and the degree of impact that emerging science and technology development could have. Research methods is to do cross match comparison with secondary data and open data acquired, combined with big data mining analysis, so as to offer reference for the future policy planning regarding science and technology.
Sheng-Chih Chen
ISM1
2013 Personalized Game-based Learning and Mobile Learning: The App Game "The Adventure of The Ch'ing Dynastry Treasures"
Sheng-Chih Chen, Po-Sheng Tien, Yi-Chin Yang, Fu-Hsin Peng, Kuan-Ying Wu, Yi-Jia Huang
ICCE1
2011 A computer system aiming to stimulate creativity for narrative
abstract
The goal of our research is to develop a computer system based on the concept of pictures-and-attributed-notes (PAN) aiming to stimulate creativity and imagination when users create a story. We have conducted an experiment and used the Conceptual, Operational, Perceptional and Evaluation (COPE) coding system to analyze the process of creating a story with the aid of computer system. The preliminary results revealed that the computer system based on PAN can stimulate user's creativity during the process of story creation.
Yun-Tai Chang, Sheng-Chih Chen, Tsai-Yen Li
Creativity & Cognition2
1998 GeneFIND web server for protein family identification and information retrieval
abstract
UNLABELLED: An integrated database and search system has been developed for protein family identification and information retrieval, as an approach to undertake the highly complex, genomic-scale problem of molecular sequence database search and organization. AVAILABILITY: http://diana.uthct.edu CONTACT: [email protected]
Cathy H. Wu, Sailaja Shivakumar, Chittari V. Shivakumar, Sheng-Chih Chen
Bioinform.4
1997 Counter-Propagation Neural Networks for Molecular Sequence Classification: Supervised LVQ and Dynamic Node Allocation
Cathy H. Wu, Hsi-Lien Chen, Sheng-Chih Chen
Appl. Intell.3