Kaixin Wang
Impact in
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 1%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
Papers in
-
- Differential Equations and Numerical Methods 12
- Co-authors
- Jiashi FengDaquan ZhouJun Hao LiewYingtian ZouHong WangJie ZhouGolam Jalal AhammedAijie Cheng
- Journals
- Numerical Methods for Partial Differential Equations (11 papers)Bioresource Technology (7 papers)Optics Express (5 papers)Journal of Colloid and Interface Science (4 papers)Chemical Engineering Journal (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kaixin Wang
177 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Modeling and Simulation 523
- Numerical Analysis 463
- Computer Vision and Pattern Recognition 627
- Energy Engineering and Power Technology 50
- Mechanics of Materials 330
Countries citing papers authored by Kaixin Wang
This map shows the geographic impact of Kaixin 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 Kaixin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixin Wang more than expected).
Fields of papers citing papers by Kaixin Wang
This network shows the impact of papers produced by Kaixin 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 Kaixin Wang. The network helps show where Kaixin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaixin Wang, 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 | 7 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 47 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 20 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 10 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 13 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 8 | |
| 18 | 2023 | 27 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 8 |
About Kaixin Wang
Kaixin Wang is a scholar working on Numerical Analysis, Energy Engineering and Power Technology, Computational Mechanics, Modeling and Simulation and Developmental Neuroscience, having authored 193 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced battery technologies research (19 papers), Advanced Numerical Methods in Computational Mathematics (17 papers), Differential Equations and Numerical Methods (12 papers), Advancements in Battery Materials (11 papers), Electrocatalysts for Energy Conversion (11 papers), Advanced Battery Materials and Technologies (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Modeling and Simulation (523 citations), Numerical Analysis (463 citations), Computer Vision and Pattern Recognition (627 citations), Energy Engineering and Power Technology (50 citations) and Mechanics of Materials (330 citations). Kaixin Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jiashi Feng, Daquan Zhou, Jun Hao Liew, Yingtian Zou, Hong Wang, Hong Wang, Hong Wang, Jie Zhou, Golam Jalal Ahammed and Hong Wang. Their work appears in journals such as Numerical Methods for Partial Differential Equations, Bioresource Technology, Optics Express, Journal of Colloid and Interface Science and Chemical Engineering Journal.
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.