Chenxue Yang
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
-
- Advanced Image and Video Retrieval Techniques 3
- Advanced Image Processing Techniques 2
- Co-authors
- Zijian Liu (6 shared papers)Xiujuan Chai (2 shared papers)Tan Sun (2 shared papers)Meng Lin (1 shared paper)Le Li (1 shared paper)Guocheng Lv (1 shared paper)Zhaohui Li (1 shared paper)Libing Liao (1 shared paper)
In The Last Decade
Chenxue Yang
17 papers receiving 263 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 49
- Analytical Chemistry 16
- Media Technology 13
- Numerical Analysis 8
- Renewable Energy, Sustainability and the Environment 24
Countries citing papers authored by Chenxue Yang
This map shows the geographic impact of Chenxue 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 Chenxue Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxue Yang more than expected).
Fields of papers citing papers by Chenxue Yang
This network shows the impact of papers produced by Chenxue 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 Chenxue Yang. The network helps show where Chenxue Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxue 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 | 2015 | 47 | |
| 2 | 2017 | 40 | |
| 3 | 2014 | 40 | |
| 4 | 2021 | 31 | |
| 5 | 2016 | 28 | |
| 6 | 2015 | 24 | |
| 7 | 2022 | 18 | |
| 8 | 2020 | 11 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2020 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2014 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2013 | 0 |
About Chenxue Yang
Chenxue Yang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Materials Chemistry, Computer Networks and Communications and Computational Mechanics, having authored 20 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Nonlinear Differential Equations Analysis (2 papers), Remote-Sensing Image Classification (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Advanced Image Processing Techniques (2 papers), Mathematical Biology Tumor Growth (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Modeling and Simulation (49 citations), Analytical Chemistry (16 citations), Media Technology (13 citations), Numerical Analysis (8 citations) and Renewable Energy, Sustainability and the Environment (24 citations). Chenxue Yang has collaborated with scholars based in China, Taiwan and Russia. Frequent co-authors include Zijian Liu, Xiujuan Chai, Tan Sun, Meng Lin, Le Li, Guocheng Lv, Zhaohui Li, Libing Liao, Wai‐Ching Liu and F.M. Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Computers and Electronics in Agriculture, GeoInformatica, Mathematics and Computers in Simulation and ACS Applied Materials & Interfaces.
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.