Binyan Xu
- Education top 10%
- Mathematics Education and Teaching Techniques 7
- Statistics and Probability top 10%
- Cognitive and developmental aspects of mathematical skills 3
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- Innovative Teaching and Learning Methods 4
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- Advanced Control Systems Optimization 3
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- Catalytic C–H Functionalization Methods 2
- Oxidative Organic Chemistry Reactions 2
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- Fire dynamics and safety research 2
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- Distributed Control Multi-Agent Systems 2
Binyan Xu
23 papers receiving 203 citations
Peers
Comparison fields: 5 of 73
- Education 115
- Statistics and Probability 32
- Developmental and Educational Psychology 35
- Tourism, Leisure and Hospitality Management 3
- Theoretical Computer Science 2
Countries citing papers authored by Binyan Xu
This map shows the geographic impact of Binyan Xu'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 Binyan Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binyan Xu more than expected).
Fields of papers citing papers by Binyan Xu
This network shows the impact of papers produced by Binyan Xu. 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 Binyan Xu. The network helps show where Binyan Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Binyan Xu, 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 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 12 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 9 | |
| 15 | Exploration and Reflection on Online Teaching | 2020 | 1 |
| 16 | 2018 | 44 | |
| 17 | 2013 | 12 | |
| 18 | Analytical Framework for Analyzing Inquiry Contents in Senior High School Mathematics Textbooks and Comparative Studies | 2012 | 0 |
| 19 | 2010 | 16 | |
| 20 | On Mathematical Competence Model in Mathematics Education Standards in Germany | 2007 | 0 |
About Binyan Xu
Binyan Xu is a scholar working on Theoretical Computer Science, Statistics and Probability and Developmental and Educational Psychology, having authored 29 papers that have together received 210 indexed citations. Recurring topics across this work include Mathematics Education and Teaching Techniques (7 papers), Innovative Teaching and Learning Methods (4 papers), Cognitive and developmental aspects of mathematical skills (3 papers), Advanced Control Systems Optimization (3 papers), Catalytic C–H Functionalization Methods (2 papers), Oxidative Organic Chemistry Reactions (2 papers), Fire dynamics and safety research (2 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Education (115 citations), Statistics and Probability (32 citations) and Developmental and Educational Psychology (35 citations). Binyan Xu has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Stephen Hwang, Jinfa Cai, Matthias Ludwig, Elaine Simmt, Mellony Graven, Yang Shi, Alain Kuzniak, Gabriele Kaiser, Helen Forgasz and Afzal Suleman. Their work appears in journals such as Chemical Communications, Automatica and The Journal of Organic Chemistry.
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.