You Zhu

1.4k total citations · 1 hit paper
36 papers, 932 citations indexed

About

You Zhu is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, You Zhu has authored 36 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 11 papers in Finance and 7 papers in Management Science and Operations Research. Recurrent topics in You Zhu's work include Market Dynamics and Volatility (19 papers), Complex Systems and Time Series Analysis (8 papers) and Financial Distress and Bankruptcy Prediction (6 papers). You Zhu is often cited by papers focused on Market Dynamics and Volatility (19 papers), Complex Systems and Time Series Analysis (8 papers) and Financial Distress and Bankruptcy Prediction (6 papers). You Zhu collaborates with scholars based in China, United Kingdom and Sweden. You Zhu's co-authors include Gang‐Jin Wang, Chi Xie, Truong Van Nguyen, Li Zhou, Xin-Guo Yan, Gazi Salah Uddin, Chi Xie, Matteo Foglia, Bo Sun and Xiong Lu and has published in prestigious journals such as Energy Economics, International Journal of Production Economics and Technological Forecasting and Social Change.

In The Last Decade

You Zhu

34 papers receiving 903 citations

Hit Papers

Forecasting SMEs' credit ... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
You Zhu China 13 333 230 228 214 194 36 932
Yuanjun Zhao China 16 209 0.6× 174 0.8× 80 0.4× 204 1.0× 59 0.3× 33 844
Jamal Ouenniche United Kingdom 18 144 0.4× 172 0.7× 179 0.8× 102 0.5× 104 0.5× 44 820
Dexiang Wu China 12 90 0.3× 171 0.7× 106 0.5× 162 0.8× 69 0.4× 28 618
Onur Boyabatlı Singapore 10 146 0.4× 375 1.6× 149 0.7× 309 1.4× 87 0.4× 17 668
Pervaiz Alam United States 18 168 0.5× 120 0.5× 701 3.1× 237 1.1× 197 1.0× 58 1.0k
Cuicui Luo China 15 150 0.5× 72 0.3× 152 0.7× 86 0.4× 67 0.3× 44 675
Robert R. Trippi United States 15 310 0.9× 105 0.5× 122 0.5× 95 0.4× 346 1.8× 43 983
Rongda Chen China 17 515 1.5× 79 0.3× 219 1.0× 50 0.2× 279 1.4× 68 1.0k
Jian Ni China 14 172 0.5× 162 0.7× 59 0.3× 184 0.9× 61 0.3× 25 500
Ahmed Ghorbel Tunisia 14 451 1.4× 81 0.4× 33 0.1× 89 0.4× 182 0.9× 56 757

Countries citing papers authored by You Zhu

Since Specialization
Citations

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

Fields of papers citing papers by You Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of You Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of You Zhu. A scholar is included among the top collaborators of You Zhu 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 You Zhu. You Zhu 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
1.
Wang, Gang‐Jin, et al.. (2025). Forecasting carbon price: A novel multi-factor spatial-temporal GNN framework integrating Graph WaveNet and self-attention mechanism. Energy Economics. 144. 108318–108318. 4 indexed citations
2.
Zhu, You, et al.. (2025). SCF credit risk assessment with limited labeled data using label propagation algorithm and complex network approaches. International Review of Financial Analysis. 107. 104619–104619. 1 indexed citations
3.
Xie, Chi, et al.. (2025). Time-frequency co-movements between climate uncertainty and carbon market returns: Evidence based on wavelet coherence analysis. Finance research letters. 74. 106778–106778. 3 indexed citations
4.
Xie, Chi, et al.. (2024). Who dominate the information flowing between innovative and traditional financial assets? A multiscale entropy-based approach. International Review of Economics & Finance. 93. 329–358. 5 indexed citations
5.
Qualls, William J., et al.. (2024). Win, lose, or draw? Forecasting the outcome of a race toward a dominant formal standard with machine learning. Technological Forecasting and Social Change. 205. 123499–123499.
6.
Xie, Chi, et al.. (2024). Forecasting global stock market volatilities: A shrinkage heterogeneous autoregressive (HAR) model with a large cross-market predictor set. International Review of Economics & Finance. 93. 673–711. 2 indexed citations
8.
Wang, Gang‐Jin, et al.. (2024). Corporate ESG performance and systemic risk: a network perspective. Annals of Operations Research. 357(1). 739–777. 9 indexed citations
9.
Hu, Mingsheng, et al.. (2024). Spillover effect of corporate digitalization in the supply chain: Perspective of trade credit financing. Global Finance Journal. 62. 101009–101009. 5 indexed citations
10.
Wang, Gang‐Jin, et al.. (2023). Systemic risk spillovers and the determinants in the stock markets of the Belt and Road countries. Emerging Markets Review. 55. 101020–101020. 29 indexed citations
11.
Wang, Gang‐Jin, et al.. (2023). Interconnected multilayer networks: Quantifying connectedness among global stock and foreign exchange markets. International Review of Financial Analysis. 86. 102518–102518. 62 indexed citations
12.
Wang, Gang‐Jin, et al.. (2023). Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers. Journal of International Financial Markets Institutions and Money. 83. 101733–101733. 38 indexed citations
13.
Zhu, You, et al.. (2023). Risk contagion of NFT: A time-frequency risk spillover perspective in the Carbon-NFT-Stock system. Finance research letters. 59. 104765–104765. 5 indexed citations
14.
Chen, Yan, et al.. (2023). Quantile connectedness and the determinants between FinTech and traditional financial institutions: Evidence from China. Global Finance Journal. 58. 100906–100906. 23 indexed citations
15.
Nguyen, Truong Van, et al.. (2021). Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review. International Journal of Production Economics. 244. 108381–108381. 94 indexed citations
16.
Zhu, You, Li Zhou, Chi Xie, Gang‐Jin Wang, & Truong Van Nguyen. (2019). Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach. International Journal of Production Economics. 211. 22–33. 255 indexed citations breakdown →
17.
Zhu, You, Chi Xie, Gang‐Jin Wang, & Xin-Guo Yan. (2016). Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance. Neural Computing and Applications. 28(S1). 41–50. 97 indexed citations
18.
Zhu, You. (2003). RESOURCE POTENTIAL IN THE DEEP OF THE SHIWU FAULT DEPRESSION AND THE CHANGLING SAG, THE SONGLIAO BASIN. 2 indexed citations
19.
Zhu, You. (2002). DISCOVERY OF THE UPPER CRETACEOUS TAIZHOU FORMATION IN LIYANG AREA OF SOUTHERN JIANGSU. Dicengxue zazhi. 1 indexed citations
20.
Zhu, You. (2001). GAS HYDRATE IN THE SOUTH CHINA SEA:BACKGROUND AND INDICATORS. Acta Petrologica Sinica. 10 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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