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Institution

Tongji University

EducationShanghai, China
About: Tongji University is a education organization based out in Shanghai, China. It is known for research contribution in the topics: Population & Adsorption. The organization has 76116 authors who have published 81176 publications receiving 1248911 citations. The organization is also known as: Tongji & Tóngjì Dàxué.


Papers
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Journal ArticleDOI
Su Hongyang1, Zhang Yalei1, Zhang Chunmin1, Zhou Xuefei1, Li Jinpeng1 
TL;DR: C. pyrenoidosa cultivated in soybean processing wastewater (SPW) in batch and fed-batch cultures without a supply of additional nutrients was able to remove 77.8 ± 5.7%, 88.8± 1.0%, 89.1 ± 0.6% and 70.3 ± 11.4% of soluble chemical oxygen demand, total nitrogen, NH(4)(+)-N and total phosphate, respectively, after 120 h infed-batch culture.

265 citations

Journal ArticleDOI
TL;DR: The results suggest that it is not always the case that the presence of a heterojunction at interface of two semiconductors can definitely result in improving the photoactivity of the heterostructure although it can suppress the recombination of photogenerated charge carriers and implies the importance of fabrication a right heterojunctions at the interface between the composite materials when they are used for photocatalysis.
Abstract: Different composite films prepared by coupling ZnO and nitrogen-doped ZnO (N-ZnO) were used to photodegrade humic acids (HA). The catalysts exhibit an activity in the order of glass/ZnO/N-ZnO > gla...

265 citations

Journal ArticleDOI
TL;DR: A modified monomer addition model combined with aggregation model is proposed to analyze the formation mechanism of silica particles in Stöber process with high concentration of tetra-ethyl-orthosilicate up to 1.24 M.

264 citations

Journal ArticleDOI
TL;DR: The results indicate that the accessibility measures derived from the combined travel demand model are capable of measuring the consequences of both demand and supply changes in the network and have the flexibility to reflect the effects of different travel choice dimensions on the network vulnerability.
Abstract: Accessibility is a fundamental concept in transportation analysis and urban planning. Typically, accessibility refers to the ‘ease’ of reaching opportunities for activities and services and can be used to assess the performance of a transportation and urban system. In this paper, we present network-based accessibility measures for assessing vulnerability of degradable transportation networks. The network-based accessibility measures consider the consequence of one or more link failures in terms of network travel time or generalized travel cost increase as well as the behavioral responses of users due to the failure in the network. To model different dimensions of travel behavioral responses, a combined travel demand model is adopted to estimate the long-term equilibrium network condition due to network disruptions. Numerical examples are conducted to demonstrate the feasibility of the proposed vulnerability measures for assessing degradable transportation networks. The results indicate that the accessibility measures derived from the combined travel demand model are capable of measuring the consequences of both demand and supply changes in the network and have the flexibility to reflect the effects of different travel choice dimensions on the network vulnerability.

264 citations

Journal ArticleDOI
TL;DR: This work has shown that structural health monitoring techniques have been widely used in long-span bridges but, due to limitations of computational ability and data analysis methods, the knowledge in these techniques is limited.
Abstract: Structural health monitoring (SHM) techniques have been widely used in long-span bridges. However, due to limitations of computational ability and data analysis methods, the knowledge in ma...

264 citations


Authors

Showing all 76610 results

NameH-indexPapersCitations
Gang Chen1673372149819
Yang Yang1642704144071
Georgios B. Giannakis137132173517
Jian Li133286387131
Jianlin Shi12785954862
Zhenyu Zhang118116764887
Ju Li10962346004
Peng Wang108167254529
Qian Wang108214865557
Yan Zhang107241057758
Richard B. Kaner10655766862
Han-Qing Yu10571839735
Wei Zhang104291164923
Fabio Marchesoni10460774687
Feng Li10499560692
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023238
20221,051
20219,713
20208,502
20197,517
20186,352