Guoshi Tong

581 total citations · 1 hit paper
11 papers, 404 citations indexed

About

Guoshi Tong is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Guoshi Tong has authored 11 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Finance, 7 papers in Economics and Econometrics and 4 papers in Management Science and Operations Research. Recurrent topics in Guoshi Tong's work include Financial Markets and Investment Strategies (8 papers), Market Dynamics and Volatility (4 papers) and Monetary Policy and Economic Impact (3 papers). Guoshi Tong is often cited by papers focused on Financial Markets and Investment Strategies (8 papers), Market Dynamics and Volatility (4 papers) and Monetary Policy and Economic Impact (3 papers). Guoshi Tong collaborates with scholars based in China, Singapore and United States. Guoshi Tong's co-authors include Fuwei Jiang, Jian Chen, Dashan Huang, Guofu Zhou, Kunpeng Li, Xudong Wen, Jianqiu Wang, Ke Wu and Esfandiar Maasoumi and has published in prestigious journals such as Management Science, Journal of Econometrics and International Review of Economics & Finance.

In The Last Decade

Guoshi Tong

10 papers receiving 393 citations

Hit Papers

Scaled PCA: A New Approach to Dimension Reduction 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guoshi Tong China 7 307 188 135 85 49 11 404
Malay Bhattacharyya India 9 303 1.0× 169 0.9× 109 0.8× 59 0.7× 30 0.6× 16 381
Geetesh Bhardwaj United States 9 225 0.7× 180 1.0× 84 0.6× 42 0.5× 36 0.7× 23 299
Stig V. Møller Denmark 11 322 1.0× 216 1.1× 159 1.2× 61 0.7× 59 1.2× 32 415
Erik Kole Netherlands 8 312 1.0× 347 1.8× 100 0.7× 40 0.5× 33 0.7× 23 485
Henri Nyberg Finland 10 335 1.1× 269 1.4× 222 1.6× 83 1.0× 27 0.6× 26 473
Takuji Kinkyo Japan 9 267 0.9× 146 0.8× 98 0.7× 44 0.5× 66 1.3× 35 366
Tolga Cenesizoglu Canada 9 221 0.7× 282 1.5× 185 1.4× 106 1.2× 25 0.5× 38 431
Dominik Wolff Germany 9 187 0.6× 202 1.1× 75 0.6× 81 1.0× 40 0.8× 21 296
Burak Saltoğlu Türkiye 11 290 0.9× 312 1.7× 132 1.0× 59 0.7× 33 0.7× 23 449

Countries citing papers authored by Guoshi Tong

Since Specialization
Citations

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

Fields of papers citing papers by Guoshi Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoshi Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Guoshi Tong. A scholar is included among the top collaborators of Guoshi Tong 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 Guoshi Tong. Guoshi Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Huang, Dashan, Fuwei Jiang, Kunpeng Li, Guoshi Tong, & Guofu Zhou. (2023). Are bond returns predictable with real-time macro data?. Journal of Econometrics. 237(2). 105438–105438. 9 indexed citations
2.
Wang, Jianqiu, et al.. (2023). Nonlinearity in the cross-section of stock returns: Evidence from China. International Review of Economics & Finance. 85. 174–205. 1 indexed citations
3.
Maasoumi, Esfandiar, Guoshi Tong, Xudong Wen, & Ke Wu. (2022). Portfolio Choice with Subset Combination of Characteristics. SSRN Electronic Journal.
4.
Huang, Dashan, Fuwei Jiang, Kunpeng Li, Guoshi Tong, & Guofu Zhou. (2021). Scaled PCA: A New Approach to Dimension Reduction. Management Science. 68(3). 1678–1695. 141 indexed citations breakdown →
5.
Huang, Dashan, Fuwei Jiang, Guoshi Tong, & Guofu Zhou. (2019). Scaled PCA: A New Approach to Dimension Reduction. SSRN Electronic Journal. 9 indexed citations
6.
Huang, Dashan, Fuwei Jiang, & Guoshi Tong. (2018). Real Time Macro Factors in Bond Risk Premium. SSRN Electronic Journal. 3 indexed citations
7.
Chen, Jian, Fuwei Jiang, & Guoshi Tong. (2017). Economic policy uncertainty in China and stock market expected returns. Accounting and Finance. 57(5). 1265–1286. 193 indexed citations
8.
Jiang, Fuwei, et al.. (2017). Technical Analysis Profitability Without Data Snooping Bias: Evidence from Chinese Stock Market. International Review of Finance. 19(1). 191–206. 13 indexed citations
9.
Chen, Jian, Fuwei Jiang, & Guoshi Tong. (2016). Economic Policy Uncertainty in China and Stock Market Expected Returns. SSRN Electronic Journal. 23 indexed citations
10.
Jiang, Fuwei & Guoshi Tong. (2016). Monetary Policy Uncertainty and Bond Risk Premium. SSRN Electronic Journal. 11 indexed citations
11.
Tong, Guoshi. (2012). Structural Bond Return Predictability Tests. SSRN Electronic Journal. 1 indexed citations

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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