Quan Wen

2.1k total citations · 1 hit paper
84 papers, 1.0k citations indexed

About

Quan Wen is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, Quan Wen has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Economics and Econometrics, 31 papers in Management Science and Operations Research and 22 papers in Finance. Recurrent topics in Quan Wen's work include Game Theory and Voting Systems (25 papers), Merger and Competition Analysis (23 papers) and Financial Markets and Investment Strategies (21 papers). Quan Wen is often cited by papers focused on Game Theory and Voting Systems (25 papers), Merger and Competition Analysis (23 papers) and Financial Markets and Investment Strategies (21 papers). Quan Wen collaborates with scholars based in United States, Netherlands and Canada. Quan Wen's co-authors include Turan G. Bali, Dexin Zhou, T. Clifton Green, Shouyong Shi, Harold Houba, Jennie Bai, Evgenia Motchenkova, Avanidhar Subrahmanyam, Tinghua Duan and Frank Weikai Li and has published in prestigious journals such as Journal of Financial Economics, Econometrica and Tourism Management.

In The Last Decade

Quan Wen

72 papers receiving 958 citations

Hit Papers

Crowdsourced employer reviews and stock returns 2019 2026 2021 2023 2019 50 100 150 200

Peers

Quan Wen
Comparison fields: 5 of 62
  • Economics and Econometrics 647
  • Finance 357
  • Accounting 269
  • Management Science and Operations Research 234
  • Strategy and Management 114
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Citations per field, relative to Quan Wen
Quan Wen · 1×
Citations per year, relative to Quan Wen
Quan Wen · 1×

Countries citing papers authored by Quan Wen

Since Specialization
Citations

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

Fields of papers citing papers by Quan Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Wen. A scholar is included among the top collaborators of Quan Wen 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 Quan Wen. Quan Wen 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
# Work Indexed citations
1 0
2 0
3 2
4
The Cross-Sectional Pricing of Corporate Bonds Using Big Data and Machine Learning
2
5 0
6 1
7
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207
8 1
9 1
10 3
11
A Bargaining Model of Nuclear Weapons Development and Disarmament
4
12
Antitrust enforcement with price-dependent fines and detection probabilities
16
13 2
14 5
15 34
16
Finite Horizon Negotiation Games
1
17 4
18 4
19 2
20 23

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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