Chenchong Wang - Concepedia

Author

Chenchong Wang

Northeastern University ORCID

Also Known As

Chen-chong Wang, Chenchong Wang, Wang, Chenchong

Publications

2.5K

Citations

H-Index

Concepts

All Affiliations

Northeastern University Tsinghua University Beijing Institute of Aeronautical Materials China Iron and Steel Research Institute Group Guangdong Ocean University

About

Chenchong Wang is an author at Northeastern University specializing in engineering, mechanical engineering, and materials science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	42	2K
2	Applied Physics	7	7	165
3	Management	1	1	17
4	Natural Sciences	1	1	34
5	Chemical Engineering	1	1	19

Chenchong Wang

Publications

2.3K

Citations

H-Index

Page 1

	Year	Citations
Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel Chunguang Shen, Chenchong Wang, Xiaolu Wei, Acta Materialia Artificial IntelligenceEngineeringMachine LearningPhysic Aware Machine LearningMachine Learning Tool	2019	302
Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction Da Ren, Chenchong Wang, Xiaolu Wei, Scripta Materialia Artificial IntelligenceProperty PredictionGeometric LearningEngineeringMachine Learning	2024	126
Optimizing crack initiation energy in austenitic steel via controlled martensitic transformation Minghao Huang, Lingyu Wang, Chenchong Wang, Journal of Material Science and Technology EngineeringMechanicsMechanical EngineeringMartensitic TransformationCrack Initiation Energy	2024	119
Optimization of multistage femtosecond laser drilling process using machine learning coupled with molecular dynamics Chenchong Wang, Zhen Zhang, Xueyong Jing, Optics & Laser Technology Drilling MechanicsAdvanced Laser ProcessingEngineeringMechanical EngineeringLaser Processing Technology	2022	101
Optimization of low-power femtosecond laser trepan drilling by machine learning and a high-throughput multi-objective genetic algorithm Zhen Zhang, Shangyu Liu, Yuqiang Zhang, Optics & Laser Technology EngineeringMachine LearningIntelligent OptimizationMechanical EngineeringLaser Processing Technology	2021	94
Building a quantitative composition-microstructure-property relationship of dual-phase steels via multimodal data mining Da Ren, Chenchong Wang, Xiaolu Wei, Acta Materialia Materials ScienceEngineeringCorrosionDual-phase SteelsQuantitative Composition-microstructure-property Relationship	2023	82
Tensile property prediction by feature engineering guided machine learning in reduced activation ferritic/martensitic steels Chenchong Wang, Chunguang Shen, Qing Cui, Journal of Nuclear Materials Materials ScienceEngineeringMachine LearningFeature EngineeringMachine Learning Tool	2019	72
Unraveling the significant role of retained austenite on the dry sliding wear behavior of medium manganese steel Xincheng Yan, Jun Hu, Hao Yu, Wear Materials ScienceEngineeringMechanical EngineeringSliding WearHigh Strength Low Alloy Steel	2021	67
Thermodynamic prediction of martensitic transformation temperature in Fe-Ni-C system Qun Luo, Hongcan Chen, Wei Chen, Scripta Materialia Materials ScienceThermodynamic ModellingEngineeringMetallurgical SystemThermodynamics	2020	66
On the use of transfer modeling to design new steels with excellent rotating bending fatigue resistance even in the case of very small calibration datasets Xiaolu Wei, Sybrand van der Zwaag, Zixi Jia, Acta Materialia Transfer ModelingEngineeringMechanical EngineeringMechanical ModelingStructural Analysis	2022	66

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