Institution
Jiangxi University of Science and Technology
Education•Ganzhou, China•
About: Jiangxi University of Science and Technology is a education organization based out in Ganzhou, China. It is known for research contribution in the topics: Microstructure & Alloy. The organization has 6958 authors who have published 5576 publications receiving 50650 citations.
Topics: Microstructure, Alloy, Adsorption, Catalysis, Leaching (metallurgy)
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the use of ammonium nitrate and ammonium sulfate as compound lixiviant and an ammonium acetate as an inhibitor for aluminum in the recovery of rare earth elements from ion-adsorption rare earth ores was investigated.
43 citations
TL;DR: In this article, a series of unique 3D flower-like Bi2MoO6 (BMO)/reduced graphene oxide (rGO) heterostructured composites decorated with varying amounts of Ag nanoparticles (NPs) were fabricated.
43 citations
TL;DR: LiNi 0.8 Co 0.2-x O 2 positive-electrode materials were investigated through X-Ray diffraction, X-ray photoelectron spectroscopy, scanning electron microscope, transmission electron microscope and electrochemical tests as mentioned in this paper.
43 citations
43 citations
01 Nov 2006
TL;DR: This study compares the performance of the information-theoretical consensus algorithm with other fusion approaches for clustering ensembles and finds a combined clustering is found by minimizing an information- theoretical criterion function using genetic algorithm.
Abstract: Clustering ensembles have emerged as a powerful method for improving both the robustness and the stability of unsupervised classification solutions. However, finding a consensus clustering from multiple clusterings is a difficult problem that can be approached from graph-based, combinatorial or statistical perspectives. A consensus scheme via the genetic algorithm based on information theory is proposed in this paper. A combined clustering is found by minimizing an information-theoretical criterion function using genetic algorithm. This study compares the performance of the information-theoretical consensus algorithm with other fusion approaches for clustering ensembles. Experimental results demonstrate the effectiveness of the proposed method.
43 citations
Authors
Showing all 7009 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Hua Zhang | 163 | 1503 | 116769 |
| Wei Li | 158 | 1855 | 124748 |
| Mingwei Chen | 108 | 536 | 51351 |
| Hongjie Zhang | 92 | 760 | 33301 |
| Aibing Yu | 86 | 930 | 34127 |
| Shiyong Liu | 79 | 266 | 19061 |
| Chun-Hua Yan | 73 | 336 | 19972 |
| Xiaobo Ji | 73 | 360 | 17916 |
| Yang Hou | 64 | 235 | 14113 |
| Hao Su | 57 | 302 | 55902 |
| Jian Tian | 56 | 175 | 13090 |
| Lei Wang | 54 | 1076 | 15189 |
| Jiafu Wan | 54 | 167 | 12244 |
| Peng Cheng | 52 | 362 | 9193 |
| Heng-Yun Ye | 47 | 204 | 9435 |