Shouyang Wang

39.9k citations
901 papers · 28.6k indexed · 11 hit papers · h-index 86

Shouyang Wang

848 papers receiving 27.4k citations

Hit Papers

Unveiling...782004202620112018250500750

Peers

Shouyang Wang
Comparison fields: 5 of 203
  • Management Science and Operations Research 7.7k
  • Management Information Systems 3.6k
  • Economics and Econometrics 9.4k
  • Strategy and Management 4.1k
  • Finance 2.6k
Replace Joe Zhu with:
Joe Zhu United States
Thomas L. Saaty United States
Edmundas Kazimieras Zavadskas Lithuania
Gwo‐Hshiung Tzeng Taiwan
Edwardo L. Rhodes United States
Rolf Färe United States
Kin Keung Lai Hong Kong
Kaoru Tone Japan
Rajiv D. Banker United States
John D. Sterman United States
Shouyang Wang relative to Joe Zhu United States Joe Zhu's profile →
Citations per field
00.5×6.2×
Joe Zhu · 1×
Citations per year

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

The 25 scholars most cited alongside Shouyang Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shouyang Wang Line = papers co-authored together Shouyang Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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Unveiling the impact of geopolitical conflict on oil prices: A case study of the Russia-Ukraine War and its channelsbreakdown →
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About Shouyang Wang

Shouyang Wang is a scholar working on Management Science and Operations Research, Management Information Systems and Finance, having authored 901 papers that have together received 28.6k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (149 papers), Supply Chain and Inventory Management (86 papers), Stock Market Forecasting Methods (82 papers), Monetary Policy and Economic Impact (67 papers), Energy, Environment, Economic Growth (63 papers), Sustainable Supply Chain Management (59 papers), Energy Load and Power Forecasting (57 papers) and Optimization and Variational Analysis (55 papers). The work is most often cited by research in Management Science and Operations Research (7.7k citations), Management Information Systems (3.6k citations) and Economics and Econometrics (9.4k citations). Shouyang Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent 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. Their work appears in journals such as European Journal of Operational Research, Energy Economics, International Journal of Production Economics, Expert Systems with Applications and International Journal of Information Technology & Decision Making.

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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