Shouyang Wang

39.9k total citations · 11 hit papers
901 papers, 28.6k citations indexed

About

Shouyang Wang is a scholar working on Economics and Econometrics, Management Science and Operations Research and Finance. According to data from OpenAlex, Shouyang Wang has authored 901 papers receiving a total of 28.6k indexed citations (citations by other indexed papers that have themselves been cited), including 318 papers in Economics and Econometrics, 255 papers in Management Science and Operations Research and 120 papers in Finance. Recurrent topics in Shouyang Wang's work include Market Dynamics and Volatility (149 papers), Supply Chain and Inventory Management (86 papers) and Stock Market Forecasting Methods (82 papers). Shouyang Wang is often cited by papers focused on Market Dynamics and Volatility (149 papers), Supply Chain and Inventory Management (86 papers) and Stock Market Forecasting Methods (82 papers). Shouyang Wang collaborates with scholars based in China, Hong Kong and United States. Shouyang Wang's co-authors include Kin Keung Lai, Lean Yu, T.C.E. Cheng, Shaolong Sun, Guowei Hua, Ling Tang, Yoshiteru Nakamori, Wei Huang, Gang Xie and Yunjie Wei and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Shouyang Wang

848 papers receiving 27.4k citations

Hit Papers

Forecasting stock market movement direction with support ... 2004 2026 2011 2018 2004 2018 2011 2008 2020 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Forecasting stock market movement direction with support vector machine
    2004 763 citations Shouyang Wang et al. profile →
  2. Big data in tourism research: A literature review
    2018 666 citations Shouyang Wang et al. Tourism Management profile →
  3. Managing carbon footprints in inventory management
    2011 588 citations Guowei Hua, T.C.E. Cheng et al. profile →
  4. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm
    2008 572 citations Shouyang Wang, Kin Keung Lai et al. Energy Economics profile →
  5. Global supply-chain effects of COVID-19 control measures
    2020 546 citations Dabo Guan, Shouyang Wang et al. profile →
  6. Assessing China’s efforts to pursue the 1.5°C warming limit
    2021 391 citations Shouyang Wang et al. profile →
  7. Regional development and carbon emissions in China
    2019 355 citations Dabo Guan, Shouyang Wang et al. Energy Economics profile →
  8. Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards
    2019 333 citations Shouyang Wang et al. profile →
  9. Nonconvex Optimization and Its Applications
    2008 320 citations Shouyang Wang et al. profile →
  10. Forecasting tourist arrivals with machine learning and internet search index
    2018 264 citations Shaolong Sun, Yunjie Wei et al. Tourism Management profile →
  11. Unveiling the impact of geopolitical conflict on oil prices: A case study of the Russia-Ukraine War and its channels
    2023 78 citations Kun Yang, Yi Hu et al. Energy Economics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shouyang Wang China 86 9.4k 7.7k 4.1k 3.7k 3.6k 901 28.6k
John D. Sterman United States 59 2.6k 0.3× 10.2k 1.3× 4.5k 1.1× 830 0.2× 3.6k 1.0× 138 22.8k
Edmundas Kazimieras Zavadskas Lithuania 106 3.5k 0.4× 22.8k 3.0× 8.5k 2.0× 1.6k 0.4× 2.6k 0.7× 704 42.5k
Thomas L. Saaty United States 84 3.8k 0.4× 21.4k 2.8× 8.6k 2.1× 2.1k 0.6× 5.4k 1.5× 300 61.4k
Gwo‐Hshiung Tzeng Taiwan 79 1.9k 0.2× 13.1k 1.7× 5.5k 1.3× 1.5k 0.4× 2.7k 0.8× 390 28.6k
Dalia Štreimikienė Lithuania 65 5.8k 0.6× 2.8k 0.4× 2.6k 0.6× 1.4k 0.4× 563 0.2× 589 17.1k
Rajiv D. Banker United States 66 11.1k 1.2× 16.2k 2.1× 6.6k 1.6× 451 0.1× 4.6k 1.3× 297 30.5k
Kin Keung Lai Hong Kong 58 2.6k 0.3× 3.7k 0.5× 1.8k 0.4× 1.4k 0.4× 2.0k 0.6× 369 11.4k
W. W. Cooper United States 74 27.5k 2.9× 49.1k 6.4× 7.7k 1.9× 1.9k 0.5× 5.1k 1.4× 270 68.6k
Ming‐Lang Tseng Taiwan 80 2.4k 0.3× 3.0k 0.4× 10.3k 2.5× 2.3k 0.6× 3.6k 1.0× 490 22.0k
Joseph Sarkis United States 117 4.8k 0.5× 7.3k 0.9× 41.4k 10.0× 1.4k 0.4× 13.9k 3.8× 484 58.5k

Countries citing papers authored by Shouyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shouyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shouyang Wang. A scholar is included among the top collaborators of Shouyang Wang 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 Shouyang Wang. Shouyang Wang 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.
Song, Dong‐Ping, et al.. (2025). Harnessing AI for renewable energy transition: Threshold effects on China’s economic growth. Sustainable Futures. 10. 101349–101349.
2.
Li, Mingchen, et al.. (2024). Climate change and crude oil prices: An interval forecast model with interval-valued textual data. Energy Economics. 134. 107612–107612. 8 indexed citations
3.
Wei, Yunjie, et al.. (2024). Forecasting the carbon price of China's national carbon market: A novel dynamic interval-valued framework. Energy Economics. 141. 108107–108107. 5 indexed citations
4.
Sun, Yuying, et al.. (2024). Nonparametric estimation and forecasting of interval-valued time series regression models with constraints. Expert Systems with Applications. 249. 123385–123385. 3 indexed citations
5.
Huang, Anqiang, et al.. (2024). Optimal reserve policies for emergency medical supplies: Joint consideration of reserving safety stocks, production capacity, and capital. Transportation Research Part E Logistics and Transportation Review. 189. 103653–103653. 1 indexed citations
6.
Xiao, Jin, et al.. (2024). Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model. Journal of Business Research. 186. 114914–114914. 1 indexed citations
7.
Zhang, Li, Zhe Zhang, Ziyu Qin, et al.. (2024). City-level pathways to carbon peak and neutrality in China. SHILAP Revista de lepidopterología. 1(5). 100102–100102. 16 indexed citations
8.
Li, Xin, et al.. (2023). Forecasting tourism demand with a novel robust decomposition and ensemble framework. Expert Systems with Applications. 236. 121388–121388. 20 indexed citations
9.
Yang, Kun, et al.. (2023). Unveiling the impact of geopolitical conflict on oil prices: A case study of the Russia-Ukraine War and its channels. Energy Economics. 126. 106956–106956. 78 indexed citations breakdown →
10.
Wang, Shouyang, et al.. (2023). Risk appetite and option prices: Evidence from the Chinese SSE50 options market. International Review of Financial Analysis. 86. 102541–102541. 3 indexed citations
11.
Wu, Jing, Mingchen Li, Erlong Zhao, Shaolong Sun, & Shouyang Wang. (2023). Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach. Tourism Management. 98. 104759–104759. 34 indexed citations
12.
Sun, Yuying, et al.. (2023). A novel interval-based hybrid framework for crude oil price forecasting and trading. Energy Economics. 130. 107266–107266. 16 indexed citations
13.
Lu, Quanying, Yuying Sun, Yongmiao Hong, & Shouyang Wang. (2022). Forecasting interval-valued crude oil prices using asymmetric interval models. Quantitative Finance. 22(11). 2047–2061. 12 indexed citations
14.
Shu, Tong, et al.. (2022). Vehicle routing optimization for rural package collection and delivery integrated with regard to the customer self-pickup radius. Applied Economics. 55(41). 4841–4852. 2 indexed citations
15.
Jiang, Shangrong, Yuze Li, Quanying Lu, et al.. (2021). Policy assessments for the carbon emission flows and sustainability of Bitcoin blockchain operation in China. Nature Communications. 12(1). 1938–1938. 159 indexed citations
16.
Bhowmik, Roni & Shouyang Wang. (2020). Stock Market Volatility and Return Analysis: A Systematic Literature Review. 5.
17.
Pang, Sulin, et al.. (2020). Farmer’s Credit Rating Model and Application Based on Multilayer Unified Network with Linear Classifier. Complexity. 2020. 1–13. 1 indexed citations
18.
Sun, Shaolong, Yanzhao Li, Shouyang Wang, & Ju’e Guo. (2020). Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach.. arXiv (Cornell University). 2 indexed citations
19.
Wang, Shouyang. (2009). Research on the Model for Retail Virtual Enterprises based the Case of Meiyijia. Guanli xuebao. 1 indexed citations
20.
Lai, Kin Keung, Ligang Zhou, & Shouyang Wang. (2008). Credit Risk Evaluation with Least Square Support Vector Machine.

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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