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Institution

China University of Petroleum

EducationBeijing, China
About: China University of Petroleum is a education organization based out in Beijing, China. It is known for research contribution in the topics: Catalysis & Oil shale. The organization has 39802 authors who have published 39151 publications receiving 483760 citations. The organization is also known as: Zhōngguó Shíyóu Dàxué & China University of Petroleum (Beijing).


Papers
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Journal ArticleDOI
Haihua Pei1, Guicai Zhang1, Jijiang Ge1, Luchao Jin1, Chao Ma1 
01 Feb 2013-Fuel
TL;DR: In this article, the authors investigated the microscopic displacement mechanisms for enhancing heavy oil recovery and the effect of the injection parameters on displacement efficiency using micromodels and sandpacks, and showed that the penetration of the alkaline solution into the crude oil and the subsequent formation of a water-in-oil (W/O) emulsion reduce the mobility of the water phase and divert the injected water into the unswept region, thereby improving the sweep efficiency.

114 citations

Journal ArticleDOI
TL;DR: In this article, the pore morphology, type, size and specific surface area of the Wufeng-Longmaxi shale were characterized using FE-SEM, CO 2 and N 2 sorption and MICP.

114 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the CO2 adsorption on C3N nanosheet with different charge states by means of density functional theory calculations and found that injecting extra negative electrons instead of positive electrons can extremely improve CO2 adaption capacity of C 3N nanomaterial.

114 citations

Journal ArticleDOI
TL;DR: In this article, a new theoretical model was developed to predict the segment spacing, in which the momentum diffusion due to unloading within the shear band had been considered, and the predictions of this model were compared with the experimental and simulated results, which clearly reveal that the proposed model can satisfactorily capture the process of chip segmentation over a wide range of cutting speeds.

114 citations

Journal ArticleDOI
TL;DR: A homomorphic encryption-based Blockchain for circuit copyright protection that effectively addresses the issues in the protection of circuit copyright transactions, such as low security of private data, low efficiency in transaction data storage, cooperation and supervision.
Abstract: The fast development of Blockchain technology makes it widely applied in several fields of digital transactions, like e-government affairs and the protection of financial transactions. In this article, we propose a homomorphic encryption-based Blockchain for circuit copyright protection that effectively addresses the issues in the protection of circuit copyright transactions, such as low security of private data, low efficiency in transaction data storage, cooperation and supervision. First, we establish a homomorphic encryption-based mathematical model by utilizing Blockchain and intelligent contract, and next, the algorithms that include Blockchain generation, homomorphic chain encryption/decryption, and intelligent contract are designed. As the intelligent contract is correctly executed in Blockchain, a fully homomorphic encryption-based identity authentication protocol is tackled for Blockchain, given that it ensures the change operation of any third-party in Blockchain and realizes real-time verification. The system is apposite for circuit copyright protection in a blockchain network, due to the use of distributed identity authentication and real-time extensible storage improves the security and extensibility of blockchain-based circuit copyright protection. The experimental results show that the proposed algorithm has reduced the transmission cost and improved the efficiency of data storage and supervision. In addition, it is resilient to several common attacks (e.g., double-spending attacks), yet incurs low cost/overhead and has a higher level of security when compared to three other competing algorithms.

114 citations


Authors

Showing all 40138 results

NameH-indexPapersCitations
Lei Jiang1702244135205
Shi-Zhang Qiao14252380888
Jian Zhou128300791402
Tao Zhang123277283866
Jian Liu117209073156
Qiang Yang112111771540
Jianjun Liu112104071032
Ju Li10962346004
Peng Wang108167254529
Alan R. Fersht10840033895
Jian Zhang107306469715
Wei Liu102292765228
Xiaoming Sun9638247153
Haibo Zeng9460439226
Chao Wang9156132854
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023163
20221,053
20214,986
20204,421
20194,425
20183,709