Institution
Tongji University
Education•Shanghai, 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.
Topics: Population, Adsorption, Cancer, Finite element method, Lung cancer
Papers published on a yearly basis
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TL;DR: A new class of Co9 S8 @MoS2 core-shell structures formed on carbon nanofibers composed of cubic Co 9 S8 as cores and layered MoS2 as shells is described, serving as a bifunctional electrocatalyst for H2 and O2 evolution.
Abstract: A new class of Co9 S8 @MoS2 core-shell structures formed on carbon nanofibers composed of cubic Co9 S8 as cores and layered MoS2 as shells is described. The core-shell design of these nanostructures allows the advantages of MoS2 and Co9 S8 to be combined, serving as a bifunctional electrocatalyst for H2 and O2 evolution.
665 citations
TL;DR: In this paper, the authors present the results of a compilation of palaeobotanical and lithological data from 125 sites over China, that has revealed two completely different patterns of climate zones: the Palaeogene pattern with a broad belt of aridity stretched across China from west to east, and the Neogene patterns with the arid zone restricted to northwest of China which has persisted until today.
664 citations
TL;DR: In this article, the mass concentration-mechanical property relationship of the resulting nanofiber membranes was investigated, and it was found that the highest mechanical behavior did not occur to the nanofibrous membrane electrospun from the lowest or the highest mass concentration solution, instead, the matrix with the finest fiber structure and no beads on surface obtained from the 7.5% mass concentration exhibited the largest tensile modulus and ultimate tensile strength.
660 citations
Journal Article•
TL;DR: A privacy preserving association rule mining algorithm was introduced that preserved privacy of individual values by computing scalar product and the security was analyzed.
Abstract: A privacy preserving association rule mining algorithm was introducedThis algorithm preserved privacy of individual values by computing scalar productMeanwhile the algorithm of computing scalar product was given and the security was analyzed
658 citations
University of Bremen1, Potsdam Institute for Climate Impact Research2, University of Potsdam3, University College London4, University of Padua5, Leibniz Institute of Marine Sciences6, University of St Andrews7, University of Exeter8, National Oceanography Centre, Southampton9, National Institute of Geophysics and Volcanology10, University of Cambridge11, University of Kiel12, University of Edinburgh13, University of Bristol14, Utrecht University15, Oregon State University16, Tongji University17, University of Hawaii18, University of California, Santa Cruz19
TL;DR: A new, highly resolved, astronomically dated, continuous composite of benthic foraminifer isotope records developed in the authors' laboratories reveals the key role that polar ice volume plays in the predictability of Cenozoic climate dynamics.
Abstract: Much of our understanding of Earth's past climate comes from the measurement of oxygen and carbon isotope variations in deep-sea benthic foraminifera. Yet, long intervals in existing records lack the temporal resolution and age control needed to thoroughly categorize climate states of the Cenozoic era and to study their dynamics. Here, we present a new, highly resolved, astronomically dated, continuous composite of benthic foraminifer isotope records developed in our laboratories. Four climate states-Hothouse, Warmhouse, Coolhouse, Icehouse-are identified on the basis of their distinctive response to astronomical forcing depending on greenhouse gas concentrations and polar ice sheet volume. Statistical analysis of the nonlinear behavior encoded in our record reveals the key role that polar ice volume plays in the predictability of Cenozoic climate dynamics.
655 citations
Authors
Showing all 76610 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Gang Chen | 167 | 3372 | 149819 |
| Yang Yang | 164 | 2704 | 144071 |
| Georgios B. Giannakis | 137 | 1321 | 73517 |
| Jian Li | 133 | 2863 | 87131 |
| Jianlin Shi | 127 | 859 | 54862 |
| Zhenyu Zhang | 118 | 1167 | 64887 |
| Ju Li | 109 | 623 | 46004 |
| Peng Wang | 108 | 1672 | 54529 |
| Qian Wang | 108 | 2148 | 65557 |
| Yan Zhang | 107 | 2410 | 57758 |
| Richard B. Kaner | 106 | 557 | 66862 |
| Han-Qing Yu | 105 | 718 | 39735 |
| Wei Zhang | 104 | 2911 | 64923 |
| Fabio Marchesoni | 104 | 607 | 74687 |
| Feng Li | 104 | 995 | 60692 |