Xinghua Wang

2.9k total citations · 3 hit papers
102 papers, 1.9k citations indexed

About

Xinghua Wang is a scholar working on Numerical Analysis, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Xinghua Wang has authored 102 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Numerical Analysis, 15 papers in Sociology and Political Science and 12 papers in Social Psychology. Recurrent topics in Xinghua Wang's work include Iterative Methods for Nonlinear Equations (13 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (9 papers). Xinghua Wang is often cited by papers focused on Iterative Methods for Nonlinear Equations (13 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (9 papers). Xinghua Wang collaborates with scholars based in China, Singapore and United States. Xinghua Wang's co-authors include Lu Li, Seng Chee Tan, Bo Li, Zhenkun Huang, Matthew P. Wallace, Linlin Li, Jun Lei, Qiyun Wang, Chong Li and Lu Yang and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Xinghua Wang

95 papers receiving 1.8k citations

Hit Papers

What matters in AI-supported learning: A study of human-A... 2022 2026 2023 2024 2022 2023 2024 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xinghua Wang China 23 412 277 260 252 235 102 1.9k
Wing‐Sum Cheung Hong Kong 29 180 0.4× 99 0.4× 1.7k 6.5× 902 3.6× 151 0.6× 182 3.8k
John Potter United Kingdom 26 138 0.3× 760 2.7× 860 3.3× 201 0.8× 16 0.1× 196 3.2k
Josep Blat Spain 25 63 0.2× 98 0.4× 177 0.7× 271 1.1× 30 0.1× 139 2.0k
C. Aragon United States 21 83 0.2× 751 2.7× 56 0.2× 105 0.4× 35 0.1× 80 2.9k
George D. Magoulas United Kingdom 28 36 0.1× 1.1k 4.1× 367 1.4× 584 2.3× 114 0.5× 145 2.8k
Jean‐Claude Falmagne United States 27 128 0.3× 1.3k 4.8× 138 0.5× 292 1.2× 10 0.0× 83 3.2k
Pietro Pantano Italy 24 124 0.3× 269 1.0× 113 0.4× 138 0.5× 10 0.0× 127 1.8k
Herbert Solomon United States 25 266 0.6× 355 1.3× 74 0.3× 12 0.0× 40 0.2× 70 2.5k
Lorenzo Magnani Italy 23 122 0.3× 441 1.6× 234 0.9× 36 0.1× 9 0.0× 147 2.3k
Tommi Kärkkäinen Finland 22 37 0.1× 454 1.6× 138 0.5× 205 0.8× 47 0.2× 138 1.6k

Countries citing papers authored by Xinghua Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhang, Yin, et al.. (2025). Enhancing anti-plagiarism literacy practices among undergraduates with AI. Interactive Learning Environments. 34(1). 52–66. 1 indexed citations
3.
Wang, Xinghua, et al.. (2024). An investigation of ADAS testing scenarios based on vehicle-to-powered two-wheeler accidents occurring in a county-level district in China. Transportation Safety and Environment. 6(4). 3 indexed citations
5.
Wang, Xinghua, et al.. (2023). Impact of social integration and government support on ecological immigrants’ vulnerability to poverty. Environmental and Ecological Statistics. 30(1). 61–79. 6 indexed citations
6.
Wang, Xinghua, et al.. (2023). Association between Urban Educational Policies and Migrant Children’s Social Integration in China: Mediated by Psychological Capital. International Journal of Environmental Research and Public Health. 20(4). 3047–3047. 1 indexed citations
7.
Wang, Xinghua, Linlin Li, Seng Chee Tan, Lu Yang, & Jun Lei. (2023). Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness. Computers in Human Behavior. 146. 107798–107798. 126 indexed citations breakdown →
8.
Li, Zhenyu, et al.. (2022). Health Shocks and Household Education Burden—A Study From the Perspective of Relative Poverty Alleviation in China. Frontiers in Public Health. 10. 877052–877052. 4 indexed citations
9.
Wang, Xinghua, et al.. (2021). Supporting digitally enhanced learning through measurement in higher education: Development and validation of a university students' digital competence scale. Journal of Computer Assisted Learning. 37(4). 1063–1076. 36 indexed citations
10.
Wang, Xinghua, et al.. (2021). The Achilles Heel of Technology: How Does Technostress Affect University Students’ Wellbeing and Technology-Enhanced Learning. International Journal of Environmental Research and Public Health. 18(23). 12322–12322. 20 indexed citations
11.
Li, Lu & Xinghua Wang. (2020). Technostress inhibitors and creators and their impacts on university teachers’ work performance in higher education. Cognition Technology & Work. 23(2). 315–330. 156 indexed citations
12.
Wang, Xinghua, Seng Chee Tan, & Lu Li. (2019). Technostress in university students’ technology-enhanced learning: An investigation from multidimensional person-environment misfit. Computers in Human Behavior. 105. 106208–106208. 111 indexed citations
13.
Li, Zhilin, et al.. (2013). Risk Evaluation and Comprehensive Geological Prediction Based on Fuzzy Wavelet Neural Network during Tunneling in Karst Area. Geoscience. 27(3). 719. 9 indexed citations
14.
Wang, Xinghua, Ingo Kollar, Karsten Stegmann, & Frank Fischer. (2011). Adaptable Scripting in Computer-Supported Collaborative Learning to Foster Knowledge and Skill Acquisition. OPUS (Augsburg University). 5 indexed citations
15.
Huang, Zhenkun, Xinghua Wang, & Sannay Mohamad. (2010). Self-excitation of neurons leads to multiperiodicity of discrete-time neural networks with distributed delays. Science China Information Sciences. 54(2). 305–317. 5 indexed citations
16.
Huang, Zhenkun, Xinghua Wang, & Yonghui Xia. (2009). Exponential attractor of -almost periodic sequence solution of discrete-time bidirectional neural networks. Simulation Modelling Practice and Theory. 18(3). 317–337. 12 indexed citations
17.
Wang, Xinghua, et al.. (2006). A Best Nonlinear Quadrature For The Sobolev Class KWr[a, b].. 184–189.
18.
Wang, Xinghua, et al.. (2006). The best quadrature based on given Hermite information for the Sobolev class KW r[a, b]. Science in China Series A Mathematics. 49(8). 1146–1152. 3 indexed citations
19.
Wang, Xinghua, et al.. (2003). New quadrature formulas based on the zeros of the chebyshev polynomials of the second kind. Computers & Mathematics with Applications. 45(10-11). 1611–1618. 1 indexed citations
20.
Wang, Xinghua. (2001). Hausdorff measure of Sierpinski carpet. 自然科学进展(英文版). 1 indexed citations

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.

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