Institution
Renmin University of China
Education•Beijing, Beijing, China•
About: Renmin University of China is a education organization based out in Beijing, Beijing, China. It is known for research contribution in the topics: China & Population. The organization has 11325 authors who have published 15498 publications receiving 238419 citations. The organization is also known as: Renmin University & People's University of China.
Topics: China, Population, Computer science, Catalysis, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: The discovery of the stable in-plane spontaneous polarization in atomic-thick tin telluride (SnTe), down to a 1–unit cell (UC) limit is reported, which may enable the miniaturization of ferroelectric devices.
Abstract: Stable ferroelectricity with high transition temperature in nanostructures is needed for miniaturizing ferroelectric devices. Here, we report the discovery of the stable in-plane spontaneous polarization in atomic-thick tin telluride (SnTe), down to a 1–unit cell (UC) limit. The ferroelectric transition temperature T c of 1-UC SnTe film is greatly enhanced from the bulk value of 98 kelvin and reaches as high as 270 kelvin. Moreover, 2- to 4-UC SnTe films show robust ferroelectricity at room temperature. The interplay between semiconducting properties and ferroelectricity in this two-dimensional material may enable a wide range of applications in nonvolatile high-density memories, nanosensors, and electronics.
700 citations
Arizona State University1, University of Pennsylvania2, Complutense University of Madrid3, University of Illinois at Chicago4, Tripura University5, New Mexico State University6, Nagaland University7, Istanbul Technical University8, The Chinese University of Hong Kong9, Western Illinois University10, Pontifícia Universidade Católica de Minas Gerais11, Simmons College12, University of Amsterdam13, VU University Amsterdam14, Kaohsiung Medical University15, University of Ljubljana16, Chemnitz University of Technology17, National Pingtung University of Science and Technology18, Renmin University of China19, Universidad Francisco Marroquín20, Regent University21, Athens University of Economics and Business22, I-Shou University23, Texas A&M International University24, Villanova University25, Sultan Qaboos University26, Fundação Dom Cabral27, Tilburg University28, University of Twente29
TL;DR: In this paper, the cultural and leadership variables associated with corporate social responsibility values that managers apply to their decision-making were examined, and the cultural dimensions of institutional collectivism and power distance were found to predict social responsibility value on the part of top management team members.
Abstract: This paper examines cultural and leadership variables associated with corporate social responsibility values that managers apply to their decision-making. In this longitudinal study, we analyze data from 561 firms located in 15 countries on five continents to illustrate how the cultural dimensions of institutional collectivism and power distance predict social responsibility values on the part of top management team members. CEO visionary leadership and integrity were also uniquely predictive of such values.
668 citations
TL;DR: This paper found that prices of non-energy commodity futures in the United States have become increasingly expensive with the rapidly growing index investment in commodity markets since the early 2000s, concurrent with the rapid growth of commodity markets.
Abstract: The authors found that, concurrent with the rapidly growing index investment in commodity markets since the early 2000s, prices of non-energy commodity futures in the United States have become incr...
659 citations
Proceedings Article•
12 Jul 2020TL;DR: The GCNII is proposed, an extension of the vanilla GCN model with two simple yet effective techniques: {\em Initial residual} and {\em Identity mapping} that effectively relieves the problem of over-smoothing.
Abstract: Graph convolutional networks (GCNs) are a powerful deep learning approach for graph-structured data. Recently, GCNs and subsequent variants have shown superior performance in various application areas on real-world datasets. Despite their success, most of the current GCN models are shallow, due to the {\em over-smoothing} problem. In this paper, we study the problem of designing and analyzing deep graph convolutional networks. We propose the GCNII, an extension of the vanilla GCN model with two simple yet effective techniques: {\em Initial residual} and {\em Identity mapping}. We provide theoretical and empirical evidence that the two techniques effectively relieves the problem of over-smoothing. Our experiments show that the deep GCNII model outperforms the state-of-the-art methods on various semi- and full-supervised tasks. Code is available at this https URL .
620 citations
TL;DR: Li et al. as mentioned in this paper investigated the extent and determinants of voluntary Internet-based corporate disclosures (ICD) by listed Chinese companies and found that the extent of voluntary ICD is positively and significantly related to firm size, and that the presentation format is associated with the employment of a Big 5 international audit firm and whether the firm is in the information technology industry.
592 citations
Authors
Showing all 11512 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Tao Zhang | 123 | 2772 | 83866 |
| Xuan Zhang | 119 | 1530 | 65398 |
| Richard J.H. Smith | 118 | 1308 | 61779 |
| Wei Lu | 111 | 1973 | 61911 |
| Yongfa Zhu | 105 | 355 | 33765 |
| Wei Zhang | 104 | 2911 | 64923 |
| Lu Qi | 94 | 566 | 54866 |
| Chao-Jun Li | 92 | 731 | 38074 |
| Scott Rozelle | 87 | 789 | 30543 |
| Peng Cheng | 84 | 749 | 27599 |
| Paul A. Kirschner | 82 | 545 | 33626 |
| Thomas Reardon | 79 | 285 | 25458 |
| Lei Zhang | 78 | 1485 | 30058 |
| Hong-Bo Sun | 78 | 691 | 24955 |
| G. F. Chen | 77 | 921 | 31485 |