Jian Jin
TitleCited byYear
Identifying helpful online reviews: a product designer’s perspective
Y Liu, J Jin, P Ji, JA Harding, RYK Fung
Computer-Aided Design 45 (2), 180-194, 2013
Identifying comparative customer requirements from product online reviews for competitor analysis
J Jin, P Ji, R Gu
Engineering Applications of Artificial Intelligence 49, 61-73, 2016
Understanding big consumer opinion data for market-driven product design
J Jin, Y Liu, P Ji, H Liu
International Journal of Production Research 54 (10), 3019-3041, 2016
Quantification and integration of Kano’s model into QFD for optimising product design
P Ji, J Jin, T Wang, Y Chen
International Journal of Production Research 52 (21), 6335-6348, 2014
Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach
J Jin, P Ji, Y Liu, SCJ Lim
Engineering Applications of Artificial Intelligence 41, 115-127, 2015
A biclustering-based method for market segmentation using customer pain points
B Wang, Y Miao, H Zhao, J Jin, Y Chen
Engineering Applications of Artificial Intelligence 47, 101-109, 2016
Prioritising engineering characteristics based on customer online reviews for quality function deployment
J Jin, P Ji, Y Liu
Journal of Engineering Design 25 (7-9), 303-324, 2014
How to interpret the helpfulness of online product reviews: bridging the needs between customers and designers
J Jin, Y Liu
Proceedings of the 2nd international workshop on Search and mining user …, 2010
Single machine scheduling with truncated job-dependent learning effect
XR Wang, JB Wang, J Jin, P Ji
Optimization letters 8 (2), 669-677, 2014
What makes consumers unsatisfied with your products: Review analysis at a fine-grained level
J Jin, P Ji, CK Kwong
Engineering applications of artificial intelligence 47, 38-48, 2016
Integrating the trend of research interest for reviewer assignment
J Jin, Q Geng, Q Zhao, L Zhang
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
Product characteristic weighting for designer from online reviews: an ordinal classification approach
J Jin, P Ji, Y Liu
Proceedings of the 2012 Joint EDBT/ICDT Workshops, 33-40, 2012
Review on Recent Advances in Information Mining From Big Consumer Opinion Data for Product Design
J Jin, Y Liu, P Ji, CK Kwong
Journal of Computing and Information Science in Engineering 19 (1), 010801, 2019
Mining online product reviews to identify consumers' fine-grained concerns
J Jin, P Ji
IET Digital Library, 2015
Resource-dependent scheduling with deteriorating jobs and learning effects on unrelated parallel machine
YY Lu, J Jin, P Ji, JB Wang
Neural Computing and Applications 27 (7), 1993-2000, 2016
A probabilistic filter protocol for continuous queries
J Chen, R Cheng, Y Zhang, J Jin
International Workshop on Quality of Context, 88-97, 2009
Intra-day trading system design based on the integrated model of wavelet de-noise and genetic programming
H Liu, P Ji, J Jin
Entropy 18 (12), 435, 2016
A probabilistic filter protocol for continuous nearest-neighbor query
J Zhu, J Jin, Y Wang
2009 IEEE Youth Conference on Information, Computing and Telecommunication …, 2009
Comparison of series products from customer online concerns for competitive intelligence
J Jin, P Ji, S Yan
Journal of Ambient Intelligence and Humanized Computing 10 (3), 937-952, 2019
An author subject topic model for expert recommendation
H Mou, Q Geng, J Jin, C Chen
AIRS, 83-95, 2015
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