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Institution

Nanjing University of Science and Technology

EducationNanjing, China
About: Nanjing University of Science and Technology is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Control theory & Catalysis. The organization has 31581 authors who have published 36390 publications receiving 525474 citations. The organization is also known as: Nánjīng Lǐgōng Dàxué & Nánlǐgōng.


Papers
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Journal ArticleDOI
TL;DR: Two alternative methods for retaining keywords that match expert selection much better and reveal the research specialization of the domain with more details are introduced: TF-inverse document frequency (TF-IDF) and TF-Keyword Activity Index (TF -KAI).

149 citations

Posted ContentDOI
24 Apr 2020-bioRxiv
TL;DR: In this article, the authors used automated extraction of COVID-19-related discussions from social media and a natural language process (NLP) method based on topic modeling to uncover various issues related to the disease from public opinions.
Abstract: Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss and share information with each other. In late December 2019, an outbreak of a novel coronavirus (infection from which results in the disease named COVID-19) was reported, and, due to the rapid spread of the virus in other parts of the world, the World Health Organization declared a state of emergency. In this paper, we used automated extraction of COVID-19–related discussions from social media and a natural language process (NLP) method based on topic modeling to uncover various issues related to COVID-19 from public opinions. Moreover, we also investigate how to use LSTM recurrent neural network for sentiment classification of COVID-19 comments. Our findings shed light on the importance of using public opinions and suitable computational techniques to understand issues surrounding COVID-19 and to guide related decision-making.

148 citations

Journal ArticleDOI
TL;DR: In this paper, a multimechanistic model was established to describe the strengthening due to grain refinement, dislocation accumulation, solid solution, precipitation, solute clusters and their segregation.

148 citations

Journal ArticleDOI
TL;DR: Some novel transient transition behaviors with different time scales are found in the memristor circuit, both theoretically and numerically.
Abstract: A simple memristor-based chaotic circuit with an active flux-controlled memristor characterized by a smooth continuous cubic nonlinearity is designed. The proposed chaotic circuit can generate a 2-scroll chaotic attractor on a finite time scale and has an equilibrium set with its stability dependent on the initial state of the memristor. The complex dynamics of the proposed chaotic circuit under different initial state of the memristor are investigated both theoretically and numerically. In particular, some novel transient transition behaviors with different time scales are found in the memristor circuit. Experimental observations based on a universal circuit implementation platform are conducted to partially verify the numerical simulation results.

148 citations

Journal ArticleDOI
TL;DR: In this paper, a covalently coupled hybrid of graphitic carbon nitride (g-C3N4) and reduced graphene oxide (rGO) is fabricated via an in situ chemical synthesis approach and used to load Pd nanoparticles.
Abstract: A covalently coupled hybrid of graphitic carbon nitride (g-C3N4) and reduced graphene oxide (rGO) is fabricated via an in situ chemical synthesis approach and used to load Pd nanoparticles. It is found that the Pd nanoparticles with an average diameter of 3.83 nm are evenly deposited on the g-C3N4–rGO surface. Compared with the Pd–rGO and commercial Pd–AC (Pd–activated carbon) catalysts, the ternary Pd–g-C3N4–rGO nanocomposite exhibits excellent electrocatalytic properties toward both formic acid and methanol electrooxidation, such as extremely large electrochemically active surface area (ECSA) values, significantly high forward peak current densities and reliable long-term stability. The enhanced electrochemical activity can be attributed to the specific characteristics of the unique nanostructure of Pd–g-C3N4–rGO and the concerted effects of the individual components, including the superior conductivity of rGO, the high specific surface area of the mesoporous structure, the good structural stability due to the covalent interactions between g-C3N4 and rGO, and the highly dispersed Pd nanoparticles as a result of the effect of planar groups of g-C3N4.

148 citations


Authors

Showing all 31818 results

NameH-indexPapersCitations
Jian Yang1421818111166
Liming Dai14178182937
Hui Li1352982105903
Jian Zhou128300791402
Shuicheng Yan12381066192
Zidong Wang12291450717
Xin Wang121150364930
Xuan Zhang119153065398
Zhenyu Zhang118116764887
Xin Li114277871389
Zeshui Xu11375248543
Xiaoming Li113193272445
Chunhai Fan11270251735
H. Vincent Poor109211667723
Qian Wang108214865557
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023107
2022594
20214,309
20203,990
20193,920
20183,211