H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 39 Citations 8,589 122 World Ranking 2589 National Ranking 261

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Internal medicine

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 most cited work include:

  • Using Social Media to Enhance Emergency Situation Awareness (454 citations)
  • Sensor-Based Abnormal Human-Activity Detection (275 citations)
  • Oxygen Vacancies Dominated NiS2/CoS2 Interface Porous Nanowires for Portable Zn–Air Batteries Driven Water Splitting Devices (262 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Internal medicine (16.18%)
  • Artificial intelligence (12.14%)
  • Chemical engineering (10.98%)

What were the highlights of his more recent work (between 2019-2021)?

  • Chemical engineering (10.98%)
  • Machine learning (9.83%)
  • Artificial intelligence (12.14%)

In recent papers he was focusing on the following fields of study:

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.

Between 2019 and 2021, his most popular works were:

  • Network Representation Learning: A Survey (229 citations)
  • Use of synergistic effects of the co-catalyst, p-n heterojunction, and porous structure for improvement of visible-light photocatalytic H2 evolution in porous Ni2O3/Mn0.2Cd0.8S/[email protected] (36 citations)
  • Noble metal-free 0D-1D NiCoP/Mn0.3Cd0.7S nanocomposites for highly efficient photocatalytic H2 evolution under visible-light irradiation. (27 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Enzyme
  • Internal medicine

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.

Top Publications

Using Social Media to Enhance Emergency Situation Awareness

Jie Yin;A. Lampert;M. Cameron;B. Robinson.
IEEE Intelligent Systems (2012)

759 Citations

Sensor-Based Abnormal Human-Activity Detection

Jie Yin;Qiang Yang;J.J. Pan.
IEEE Transactions on Knowledge and Data Engineering (2008)

352 Citations

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)

348 Citations

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)

337 Citations

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)

330 Citations

Emergency situation awareness from twitter for crisis management

Mark A. Cameron;Robert Power;Bella Robinson;Jie Yin.
the web conference (2012)

322 Citations

Network Representation Learning: A Survey

Daokun Zhang;Jie Yin;Xingquan Zhu;Chengqi Zhang.
IEEE Transactions on Big Data (2020)

270 Citations

Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation

Jie Yin;Qiang Yang;L.M. Ni.
IEEE Transactions on Mobile Computing (2008)

258 Citations

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)

247 Citations

NiO/CoN Porous Nanowires as Efficient Bifunctional Catalysts for Zn–Air Batteries

Jie Yin;Yuxuan Li;Fan Lv;Qiaohui Fan.
ACS Nano (2017)

234 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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