Inner Mongolia University of Finance and Economics
Impact in
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- stochastic dynamics and bifurcation
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
Papers in
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- Fractional Differential Equations Solutions 45
- Top scholars
- Zhong-Zhou LanG CHENM Nekrep PercZhisheng DuanQingyun WangFanyu BuTaiwen FengYongjun Jian
- Journals
- Sustainability (36 papers)Finance research letters (16 papers)Chaos Solitons & Fractals (13 papers)Physica A Statistical Mechanics and its Applications (13 papers)Applied Mathematics and Computation (13 papers)
- Partner nations
- ChinaMongoliaUnited States
In The Last Decade
Inner Mongolia University of Finance and Economics
648 papers receiving 10.2k citations
Peers
Comparison fields: 5 of 201
- Statistical and Nonlinear Physics 3.2k
- Modeling and Simulation 1.0k
- Numerical Analysis 592
- Computer Networks and Communications 2.1k
- Cognitive Neuroscience 1.3k
Countries citing scholars working at Inner Mongolia University of Finance and Economics
This map shows the geographic impact of research produced by authors working at Inner Mongolia 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 Inner Mongolia 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 Inner Mongolia University of Finance and Economics more than expected).
Fields of papers published by authors at Inner Mongolia University of Finance and Economics
This network shows the impact of papers affiliated with Inner Mongolia 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 Inner Mongolia University of Finance and Economics at the time of their publication.
About Inner Mongolia University of Finance and Economics
In recent decades, authors affiliated with Inner Mongolia University of Finance and Economics have published 812 papers, which have received a total of 10.8k indexed citations . Scholars at this organization have produced 53 papers in Modeling and Simulation, 17 papers in Business and International Management, 95 papers in Statistical and Nonlinear Physics, 38 papers in Numerical Analysis and 3 papers in Computational Mathematics on the topics of Energy, Environment, Economic Growth (48 papers), Fractional Differential Equations Solutions (45 papers), Nonlinear Waves and Solitons (42 papers), Nonlinear Dynamics and Pattern Formation (33 papers), Differential Equations and Numerical Methods (31 papers), Land Use and Ecosystem Services (31 papers), Nonlinear Photonic Systems (29 papers) and Sustainable Supply Chain Management (28 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (3.2k citations), Modeling and Simulation (1.0k citations), Numerical Analysis (592 citations), Computer Networks and Communications (2.1k citations) and Cognitive Neuroscience (1.3k citations). Authors at Inner Mongolia University of Finance and Economics collaborate with scholars in China, Mongolia and United States and have published in prestigious journals including Sustainability, Finance research letters, Chaos Solitons & Fractals, Physica A Statistical Mechanics and its Applications and Applied Mathematics and Computation. Some of Inner Mongolia University of Finance and Economics's most productive authors include Zhong-Zhou Lan, G CHEN, M Nekrep Perc, Zhisheng Duan, Qingyun Wang, Fanyu Bu, Taiwen Feng, Yongjun Jian, Long Chang and Qingyun Wang.
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.