Shandong University of Finance and Economics

74.6k citations
5.1k papers ·

Impact in

Papers in

Shandong University of Finance and Economics

4.2k papers receiving 71.1k citations

Peers

Shandong University of Finance and Economics
Comparison fields: 5 of 243
  • Management Science and Operations Research 18.5k
  • Statistics and Probability 4.6k
  • Economics and Econometrics 15.3k
  • Marketing 5.0k
  • Strategy and Management 8.2k
Replace Nanjing University of Information Science and Technology with:
Nanjing University of Information Science and Technology China
Beijing Jiaotong University China
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Nanjing University of Finance and Economics China
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Shandong University of Finance and Economics relative to Nanjing University of Information Science and Technology China Nanjing University of Information Science and Technology's profile →
Citations per field
00.5×1.7×
Nanjing University of Information Science and Technology · 1×
Citations per year

Countries citing scholars working at Shandong University of Finance and Economics

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Shandong University of Finance and Economics. 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 papers produced at Shandong University of Finance and Economics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shandong University of Finance and Economics more than expected).

Fields of papers published by authors at Shandong University of Finance and Economics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Shandong University of Finance and Economics at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Shandong University of Finance and Economics at the time of their publication.

About Shandong University of Finance and Economics

In recent decades, authors affiliated with Shandong University of Finance and Economics have published 5.1k papers, which have received a total of 74.6k indexed citations . Scholars at this organization have produced 797 papers in Management Science and Operations Research, 476 papers in Finance, 1.1k papers in Economics and Econometrics, 305 papers in Marketing and 491 papers in Strategy and Management on the topics of Energy, Environment, Economic Growth (534 papers), Multi-Criteria Decision Making (413 papers), Corporate Finance and Governance (202 papers), Environmental Sustainability in Business (200 papers), Sustainable Supply Chain Management (184 papers), Optimization and Mathematical Programming (181 papers), Stochastic processes and financial applications (176 papers) and Market Dynamics and Volatility (139 papers). Their work is cited by papers focused on Management Science and Operations Research (18.5k citations), Statistics and Probability (4.6k citations), Economics and Econometrics (15.3k citations), Marketing (5.0k citations) and Strategy and Management (8.2k citations). Authors at Shandong University of Finance and Economics collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Sustainability, Information Sciences, Finance research letters, Journal of Intelligent & Fuzzy Systems and IEEE Access. Some of Shandong University of Finance and Economics's most productive authors include Пэйдэ Лю, Peng Wang, Caiming Zhang, Shyi‐Ming Chen, Muhammad Ramzan, Fei Teng, Liang Ma, Shigē Péng, Yuyan Wang and Zhengmin Liu.

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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