Guoshi Tong
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
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- Monetary Policy and Economic Impact
Papers in
- Finance 9
- Financial Markets and Investment Strategies 8
- Financial Risk and Volatility Modeling 2
- Stochastic processes and financial applications 1
-
- Market Dynamics and Volatility 4
- Complex Systems and Time Series Analysis 3
- Co-authors
- Fuwei Jiang (8 shared papers)Jian Chen (2 shared papers)Dashan Huang (4 shared papers)Guofu Zhou (3 shared papers)Kunpeng Li (2 shared papers)Ke Wu (2 shared papers)Jianqiu Wang (1 shared paper)Esfandiar Maasoumi (1 shared paper)
- Journals
- Management Science (1 paper)International Review of Economics & Finance (1 paper)Accounting and Finance (1 paper)Journal of Econometrics (1 paper)International Review of Finance (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Guoshi Tong
10 papers receiving 409 citations
Guoshi Tong's Hit Papers
Peers
Comparison fields: 5 of 58
- Finance 193
- General Economics, Econometrics and Finance 137
- Economics and Econometrics 313
- Management Science and Operations Research 88
- Accounting 51
Countries citing papers authored by Guoshi Tong
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
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-authors
The 9 scholars most cited alongside Guoshi Tong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 201 | |
| 2 | Scaled PCA: A New Approach to Dimension Reduction Hit paper breakdown → | 2021 | 146 |
| 3 | 2016 | 23 | |
| 4 | 2017 | 13 | |
| 5 | 2016 | 11 | |
| 6 | 2019 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2018 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2012 | 1 | |
| 11 | 2022 | 0 |
About Guoshi Tong
Guoshi Tong is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, General Economics, Econometrics and Finance and Statistics and Probability, having authored 11 papers that have together received 417 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (8 papers), Market Dynamics and Volatility (4 papers), Monetary Policy and Economic Impact (3 papers), Complex Systems and Time Series Analysis (3 papers), Stock Market Forecasting Methods (2 papers), Financial Risk and Volatility Modeling (2 papers), Advanced Statistical Methods and Models (2 papers) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Finance (193 citations), General Economics, Econometrics and Finance (137 citations), Economics and Econometrics (313 citations), Management Science and Operations Research (88 citations) and Accounting (51 citations). Guoshi Tong has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Fuwei Jiang, Jian Chen, Dashan Huang, Guofu Zhou, Kunpeng Li, Ke Wu, Jianqiu Wang, Esfandiar Maasoumi and Xudong Wen. Their work appears in journals such as Management Science, International Review of Economics & Finance, Accounting and Finance, Journal of Econometrics and International Review of Finance.
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.