Ximing Wu

1.4k citations
54 papers · 948 indexed · h-index 13
Topics
Financial Risk and Volatility Modeling (12 papers)Statistical Methods and Inference (11 papers)Monetary Policy and Economic Impact (10 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Ximing Wu

51 papers receiving 900 citations

Peers

Ximing Wu
Comparison fields: 5 of 109
  • Economics and Econometrics 468
  • Ecology, Evolution, Behavior and Systematics 124
  • Soil Science 122
  • Finance 117
  • Plant Science 100
Replace Cliff J. Huang with:
Cliff J. Huang United States
Arne Henningsen Denmark
Thomas B. Fomby United States
Cindy Yu United States
José Olmo United Kingdom
T. Takayama United States
Walter C. Labys United States
Geraldo da Silva e Souza Brazil
Luís C. Nunes Portugal
Quirino Paris United States
Ximing Wu relative to Cliff J. Huang United States Cliff J. Huang's profile →
Citations per field
00.5×6.9×
Cliff J. Huang · 1×
Citations per year

Countries citing papers authored by Ximing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ximing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ximing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ximing Wu. A scholar is included among the top collaborators of Ximing Wu 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 Ximing Wu. Ximing Wu 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 5
4 9
5 1
6 7
7 8
8 6
9
Comovements and Volatility Spillover in Commodity Markets
1
10 3
11 5
12 9
13 91
14 40
15 6
16 1
17 9
18 37
19 5
20
GMM Estimation of a Maximum Distribution With Interval Data
2

About Ximing Wu

Ximing Wu is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Finance, having authored 54 papers that have together received 948 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (12 papers), Statistical Methods and Inference (11 papers) and Monetary Policy and Economic Impact (10 papers). The work is most often cited by research in Economics and Econometrics (468 citations), General Energy (16 citations) and General Decision Sciences (29 citations). Ximing Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Bruce A. McCarl, David J. Leatham, Jeffrey M. Perloff, Rodolfo M. Nayga, Thanasis Stengos, Jay R. Corrigan, Yu Yvette Zhang, Mark Musumba, Rodolfo M. Nayga and Fujin Yi. Their work appears in journals such as Journal of the American Statistical Association, Journal of Econometrics and Energy Economics.

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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