His scientific interests lie mostly in Machine learning, Artificial intelligence, Data mining, Nanotechnology and Oxygen evolution. His research integrates issues of Network topology, Wireless sensor network and False positive rate in his study of Machine learning. His Data mining research is multidisciplinary, relying on both Mobile computing and Cluster analysis.
His studies in Nanotechnology integrate themes in fields like Overpotential and Chemical engineering. His study looks at the relationship between Chemical engineering and topics such as Water splitting, which overlap with Electrochemistry and Anode. His Oxygen evolution study integrates concerns from other disciplines, such as Bifunctional, Catalysis and Nanowire.
His scientific interests lie mostly in Internal medicine, Artificial intelligence, Chemical engineering, Endocrinology and Machine learning. His Artificial intelligence research incorporates themes from Data mining and Pattern recognition. His Data mining study combines topics from a wide range of disciplines, such as Node and Cluster analysis.
His Chemical engineering research is multidisciplinary, incorporating perspectives in Photocatalysis, Catalysis, Electrolyte and Overpotential. His study in Overpotential is interdisciplinary in nature, drawing from both Electrocatalyst, Oxygen evolution and Water splitting. As part of the same scientific family, Jie Yin usually focuses on Endocrinology, concentrating on Gut flora and intersecting with Lipid metabolism.
His main research concerns Chemical engineering, Machine learning, Artificial intelligence, Cell biology and Electrocatalyst. The study incorporates disciplines such as Photocatalysis, Catalysis, Mesoporous material, Heterojunction and Quantum efficiency in addition to Chemical engineering. His research in Catalysis tackles topics such as High-resolution transmission electron microscopy which are related to areas like Crystal structure.
His studies deal with areas such as Key, Robustness and Noise as well as Machine learning. His research brings together the fields of Node and Artificial intelligence. He combines subjects such as Oxygen evolution, Overpotential and Water splitting with his study of Electrocatalyst.
Jie Yin mainly focuses on Chemical engineering, Electrocatalyst, Oxygen evolution, Malondialdehyde and Glutathione peroxidase. His Chemical engineering study incorporates themes from Photocatalysis, Catalysis, Heterojunction, Overpotential and Quantum efficiency. The various areas that Jie Yin examines in his Catalysis study include Tafel equation, Crystal structure, High-resolution transmission electron microscopy and X-ray photoelectron spectroscopy.
His Electrocatalyst research includes elements of Photochemistry and Iridium. Jie Yin has included themes like Cobalt and Mesoporous material in his Oxygen evolution study. His Glutathione peroxidase study combines topics in areas such as Valine, Ornithine and Ileum.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Using Social Media to Enhance Emergency Situation Awareness
Jie Yin;A. Lampert;M. Cameron;B. Robinson.
IEEE Intelligent Systems (2012)
Using social media to enhance emergency situation awareness
Jie Yin;Sarvnaz Karimi;Andrew Lampert;Mark Cameron.
international conference on artificial intelligence (2015)
Using Social Media to Enhance Emergency Situation Awareness: Extended Abstract
Jie Yin;Sarvnaz Karimi;Andrew Lampert;Mark A. Cameron.
international joint conference on artificial intelligence (2015)
Oxygen Vacancies Dominated NiS2/CoS2 Interface Porous Nanowires for Portable Zn–Air Batteries Driven Water Splitting Devices
Jie Yin;Yuxuan Li;Fan Lv;Min Lu.
Advanced Materials (2017)
Network Representation Learning: A Survey
Daokun Zhang;Jie Yin;Xingquan Zhu;Chengqi Zhang.
IEEE Transactions on Big Data (2020)
Sensor-Based Abnormal Human-Activity Detection
Jie Yin;Qiang Yang;J.J. Pan.
IEEE Transactions on Knowledge and Data Engineering (2008)
Probiotic Species in the Modulation of Gut Microbiota: An Overview.
Md. Abul Kalam Azad;Manobendro Sarker;Tiejun Li;Jie Yin.
BioMed Research International (2018)
NiO/CoN Porous Nanowires as Efficient Bifunctional Catalysts for Zn–Air Batteries
Jie Yin;Yuxuan Li;Fan Lv;Qiaohui Fan.
ACS Nano (2017)
Ni–C–N Nanosheets as Catalyst for Hydrogen Evolution Reaction
Jie Yin;Qiaohui Fan;Yuxuan Li;Fangyi Cheng.
Journal of the American Chemical Society (2016)
Power-efficient access-point selection for indoor location estimation
Yiqiang Chen;Qiang Yang;Jie Yin;Xiaoyong Chai.
IEEE Transactions on Knowledge and Data Engineering (2006)
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