Xinghua Wang
- Social Psychology top 5%
- Artificial Intelligence top 5%
- Education top 5%
- Computer Science Applications top 1%
- Numerical Analysis top 2%
- Topics
- Iterative Methods for Nonlinear Equations (13 papers)Online Learning and Analytics (10 papers)Innovative Teaching and Learning Methods (9 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xinghua Wang
95 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Social Psychology 412
- Artificial Intelligence 277
- Education 260
- Computer Science Applications 252
- Numerical Analysis 235
Countries citing papers authored by Xinghua Wang
This map shows the geographic impact of Xinghua 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 Xinghua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinghua Wang more than expected).
Fields of papers citing papers by Xinghua Wang
This network shows the impact of papers produced by Xinghua 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 Xinghua Wang. The network helps show where Xinghua Wang may publish in the future.
Co-authorship network of co-authors of Xinghua Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xinghua Wang. A scholar is included among the top collaborators of Xinghua Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinghua Wang. Xinghua Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readinessbreakdown → | 126 |
| 9 | 4 | |
| 10 | 36 | |
| 11 | 20 | |
| 12 | 156 | |
| 13 | 111 | |
| 14 | Risk Evaluation and Comprehensive Geological Prediction Based on Fuzzy Wavelet Neural Network during Tunneling in Karst Area | 9 |
| 15 | Adaptable Scripting in Computer-Supported Collaborative Learning to Foster Knowledge and Skill Acquisition | 5 |
| 16 | A Best Nonlinear Quadrature For The Sobolev Class KWr[a, b]. | 0 |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | Hausdorff measure of Sierpinski carpet | 1 |
About Xinghua Wang
Xinghua Wang is a scholar working on Numerical Analysis, Computer Science Applications and Modeling and Simulation, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (13 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (9 papers). The work is most often cited by research in Computer Science Applications (252 citations), Numerical Analysis (235 citations) and Health Informatics (50 citations). Xinghua Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Lu Li, Seng Chee Tan, Bo Li, Matthew P. Wallace, Zhenkun Huang, Linlin Li, Jun Lei, Qiyun Wang, Chong Li and Lu Yang. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.
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.