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Sun Jin
ResearcherPublications, citations & collaboration network
Sun Jin is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 63 works, 656 citations, an h-index of 15 and an i10-index of 25.
63
Works
656
Citations
15
h-index
25
i10-index
IDs:OpenAlex
How has Sun Jin's publication output changed over time?
ScholarIQpublication output · 2008–2020
Output grew0% over the shown period — from 1 works in 2008 to 1 in 2020.
1
1
1
1
2
2
1
1
20082010201120122014201620192020
What are the most-cited papers on Sun Jin?
ScholarIQmost cited works
Influence of complex structure on the shrinkage of part in investment casting process
Changhui Liu, Sun Jin, Xinmin Lai, Bo He, Fei Li
The International Journal of Advanced Manufacturing Technology. 201458 Citations
A Bayesian network approach for fixture fault diagnosis in launch of the assembly process
Sun Jin, Yinhua Liu, Zhongqin Lin
International Journal of Production Research. 201150 Citations
Compliant assembly variation analysis of aeronautical panels using unified substructures with consideration of identical parts
Jia Lin, Sun Jin, Cheng Zheng, Zhi-Min Li, Yinhua Liu
S4210171473. 201450 Citations
Application of Bayesian networks for diagnostics in the assembly process by considering small measurement data sets
Yinhua Liu, Sun Jin
The International Journal of Advanced Manufacturing Technology. 201244 Citations
Bayesian network approach for ceramic shell deformation fault diagnosis in the investment casting process
Sun Jin, Changhui Liu, Xinmin Lai, Fei Li, Bo He
The International Journal of Advanced Manufacturing Technology. 201639 Citations
Related on ScholarIQ
Shanghai Jiao Tong University
Institution
Influence of complex structure on the shrinkage of part in investment casting process
Paper
A Bayesian network approach for fixture fault diagnosis in launch of the assembly process
Paper
Compliant assembly variation analysis of aeronautical panels using unified substructures with consideration of identical parts
Paper
Application of Bayesian networks for diagnostics in the assembly process by considering small measurement data sets
Paper
Bayesian network approach for ceramic shell deformation fault diagnosis in the investment casting process
Paper