Xinwei Deng

1.7k citations
109 papers · 1.0k indexed · h-index 19
Topics
Advanced Multi-Objective Optimization Algorithms (15 papers)Optimal Experimental Design Methods (15 papers)Statistical Methods and Inference (11 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Xinwei Deng

94 papers receiving 1.0k citations

Peers

Xinwei Deng
Comparison fields: 5 of 155
  • Artificial Intelligence 230
  • Management Science and Operations Research 144
  • Computational Theory and Mathematics 129
  • Statistics and Probability 114
  • Industrial and Manufacturing Engineering 101
Replace Tshilidzi Marwala with:
Tshilidzi Marwala South Africa
Zdravko I. Botev Australia
Bo Friis Nielsen Denmark
Rong Yuan China
Warren Hare Canada
Rong Zhu China
Matthias Schubert Germany
Sudhanshu Mishra India
Jian‐Bo Yang United Kingdom
Xinwei Deng relative to Tshilidzi Marwala South Africa Tshilidzi Marwala's profile →
Citations per field
00.5×1.5×
Tshilidzi Marwala · 1×
Citations per year

Countries citing papers authored by Xinwei Deng

Since Specialization
Citations

This map shows the geographic impact of Xinwei Deng'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 Xinwei Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinwei Deng more than expected).

Fields of papers citing papers by Xinwei Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinwei Deng. 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 Xinwei Deng. The network helps show where Xinwei Deng may publish in the future.

Co-authorship network of co-authors of Xinwei Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Xinwei Deng. A scholar is included among the top collaborators of Xinwei Deng 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 Xinwei Deng. Xinwei Deng 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 0
2 0
3 1
4 3
5 1
6 0
7 0
8 7
9 0
10 1
11 2
12 4
13 1
14 51
15 2
16 1
17 10
18 33
19
Ensemble Estimation of Large Sparse Covariance Matrix Based on Modified Cholesky Decomposition
1
20 39

About Xinwei Deng

Xinwei Deng is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 109 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (15 papers), Optimal Experimental Design Methods (15 papers) and Statistical Methods and Inference (11 papers). The work is most often cited by research in Statistics and Probability (114 citations), Statistics, Probability and Uncertainty (97 citations) and Management Science and Operations Research (144 citations). Xinwei Deng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ran Jin, Xiaoning Kang, Adrian Sandu, Elías D. Niño-Ruiz, Kam‐Wah Tsui, Hongyue Sun, V. Roshan Joseph, R. Kerry Rowe, Weijun Xie and Xiaoyu Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

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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