Man-Chung Yeung

444 citations
20 papers · 343 indexed · h-index 10
Topics
Matrix Theory and Algorithms (17 papers)Electromagnetic Scattering and Analysis (11 papers)Polynomial and algebraic computation (2 papers)

In The Last Decade

Man-Chung Yeung

19 papers receiving 261 citations

Peers

Man-Chung Yeung
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 269
  • Atomic and Molecular Physics, and Optics 149
  • Numerical Analysis 73
  • Computational Mechanics 63
  • Applied Mathematics 62
Replace Fabio Di Benedetto with:
Fabio Di Benedetto Italy
Steven Delvaux Belgium
Giuseppe Fiorentino Italy
Ali Messaoudi Brazil
D. Noutsos Greece
Cristina Tablino–Possio Italy
John de Pillis United States
Julio Moro Spain
Vanni Noferini Finland
Fu‐Rong Lin China
Man-Chung Yeung relative to Fabio Di Benedetto Italy Fabio Di Benedetto's profile →
Citations per field
00.5×1.5×
Fabio Di Benedetto · 1×
Citations per year

Countries citing papers authored by Man-Chung Yeung

Since Specialization
Citations

This map shows the geographic impact of Man-Chung Yeung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Man-Chung Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man-Chung Yeung more than expected).

Fields of papers citing papers by Man-Chung Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man-Chung Yeung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Man-Chung Yeung. The network helps show where Man-Chung Yeung may publish in the future.

Co-authorship network of co-authors of Man-Chung Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Man-Chung Yeung. A scholar is included among the top collaborators of Man-Chung Yeung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Man-Chung Yeung. Man-Chung Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 13
3
Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy.
1
4 7
5 1
6 3
7 1
8 7
9 25
10 28
11 11
12 2
13 26
14 34
15 4
16 8
17 34
18 39
19 72
20 23

About Man-Chung Yeung

Man-Chung Yeung is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Numerical Analysis, having authored 20 papers that have together received 343 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (17 papers), Electromagnetic Scattering and Analysis (11 papers) and Polynomial and algebraic computation (2 papers). The work is most often cited by research in Computational Mathematics (26 citations), Computational Theory and Mathematics (269 citations) and Numerical Analysis (73 citations). Man-Chung Yeung has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Raymond H. Chan, Xiaoqing Jin, Tony F. Chan, Gui-Bing Zhao, O. A. Plumb, Maciej Radosz, Xudong Hu, Raymond H. Chan, Long Lee and Craig C. Douglas. Their work appears in journals such as Industrial & Engineering Chemistry Research, Mathematics of Computation and SIAM Journal on Numerical Analysis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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