Dexiang Wu

1.0k citations
28 papers · 618 · h-index 12

Impact in

Papers in

    • Efficiency Analysis Using DEA 8
    • Risk and Portfolio Optimization 6
    • Multi-Criteria Decision Making 4
    • Stochastic processes and financial applications 3
    • Financial Markets and Investment Strategies 2

Dexiang Wu

27 papers receiving 591 citations

Peers

Dexiang Wu
Comparison fields: 5 of 70
  • Management Science and Operations Research 334
  • Management Information Systems 171
  • Strategy and Management 162
  • Accounting 106
  • Finance 69
Replace Farimah Mokhatab Rafiei with:
Farimah Mokhatab Rafiei Iran
Amir Karbassi Yazdi Iran
Dan A. Iancu United States
Kao-Yi Shen Taiwan
Desheng Wu China
Cuicui Luo China
Yuanjun Zhao China
Jamal Ouenniche United Kingdom
M. Punniyamoorthy India
Barry R. Cobb United States
Dexiang Wu relative to Farimah Mokhatab Rafiei Iran Farimah Mokhatab Rafiei's profile →
Citations per field
00.5×1.5×1.9×
Farimah Mokhatab Rafiei · 1×
Citations per year

Countries citing papers authored by Dexiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dexiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Dexiang Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dexiang Wu Line = papers co-authored together Dexiang Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009183
2 2016132
3 200990
4 200830
5 201027
6 202017
7 201717
8 202017
9 201814
10 202214
11 201612
12 201011
13 202110
14 201610
15 20186
16 20185
17 20093
18 20183
19 20193
20 20183

About Dexiang Wu

Dexiang Wu is a scholar working on Management Science and Operations Research, Finance, Management Information Systems, Economics and Econometrics and Strategy and Management, having authored 28 papers that have together received 618 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (8 papers), Risk and Portfolio Optimization (6 papers), Supply Chain and Inventory Management (5 papers), Multi-Criteria Decision Making (4 papers), Environmental Impact and Sustainability (3 papers), Stochastic processes and financial applications (3 papers), Financial Markets and Investment Strategies (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (334 citations), Management Information Systems (171 citations), Strategy and Management (162 citations), Accounting (106 citations) and Finance (69 citations). Dexiang Wu has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Desheng Wu, Cuicui Luo, Yidong Zhang, David L. Olson, Feng Yang, Gongbing Bi, Liang Liang, Roy H. Kwon, Desheng Wu and N.A. Liang. Their work appears in journals such as Annals of Operations Research, Omega, Engineering Applications of Artificial Intelligence, European Journal of Operational Research and IEEE Systems Journal.

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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