Xiao‐Jun Yang
- Modeling and Simulation top 0.01%
- Fractional Differential Equations Solutions 180
- Numerical Analysis top 0.05%
- Iterative Methods for Nonlinear Equations 65
- Statistical and Nonlinear Physics top 0.1%
- Nonlinear Waves and Solitons 44
- Nonlinear Photonic Systems 22
- Applied Mathematics top 0.1%
- Nonlinear Differential Equations Analysis 24
- Mathematical functions and polynomials 20
- Mathematical Physics top 1%
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- Numerical methods in engineering 29
- Thermoelastic and Magnetoelastic Phenomena 27
- Co-authors
- Dumitru BǎleanuJ. A. Tenreiro MachadoH. M. SrivastavaFeng GaoCarlo CattaniJian‐Gen LiuYi‐Ying FengYudong Zhang
- Journals
- Fractals (19 papers)Abstract and Applied Analysis (16 papers)Mathematical Methods in the Applied Sciences (14 papers)
- Partner nations
- ChinaSaudi ArabiaTürkiye
In The Last Decade
Xiao‐Jun Yang
315 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Modeling and Simulation 6.7k
- Numerical Analysis 3.2k
- Statistical and Nonlinear Physics 3.2k
- Applied Mathematics 2.4k
- Mathematical Physics 643
Countries citing papers authored by Xiao‐Jun Yang
This map shows the geographic impact of Xiao‐Jun Yang'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 Xiao‐Jun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Jun Yang more than expected).
Fields of papers citing papers by Xiao‐Jun Yang
This network shows the impact of papers produced by Xiao‐Jun Yang. 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 Xiao‐Jun Yang. The network helps show where Xiao‐Jun Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiao‐Jun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 37 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 53 | |
| 11 | 2023 | 1 | |
| 12 | New infinite product formulas for the Riemann zeta-function applied to prove the Riemann conjecture | 2018 | 1 |
| 13 | 2017 | 27 | |
| 14 | 2017 | 1 | |
| 15 | 2014 | 28 | |
| 16 | 2013 | 79 | |
| 17 | Growth analysis on dominant tree species in Guniujiang nature reserve. | 2013 | 1 |
| 18 | 2013 | 71 | |
| 19 | 2013 | 94 | |
| 20 | Generalized local Taylor's formula with local fractional derivative | 2011 | 3 |
About Xiao‐Jun Yang
Xiao‐Jun Yang is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 323 papers that have together received 10.3k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (180 papers), Iterative Methods for Nonlinear Equations (65 papers), Nonlinear Waves and Solitons (44 papers), Numerical methods in engineering (29 papers), Thermoelastic and Magnetoelastic Phenomena (27 papers), Nonlinear Differential Equations Analysis (24 papers), Nonlinear Photonic Systems (22 papers) and Mathematical functions and polynomials (20 papers). The work is most often cited by research in Modeling and Simulation (6.7k citations), Numerical Analysis (3.2k citations) and Statistical and Nonlinear Physics (3.2k citations). Xiao‐Jun Yang has collaborated with scholars based in China, Saudi Arabia and Türkiye. Frequent co-authors include Dumitru Bǎleanu, J. A. Tenreiro Machado, H. M. Srivastava, Feng Gao, Carlo Cattani, Jian‐Gen Liu, Yi‐Ying Feng, Yudong Zhang, Ai-Min Yang and Shuihua Wang. Their work appears in journals such as Fractals, Abstract and Applied Analysis, Mathematical Methods in the Applied Sciences, The Journal of Nonlinear Sciences and Applications and Thermal Science.
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.