Pingyi Zhou
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
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- Advanced ceramic materials synthesis
Papers in
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- Software Engineering Research 7
- Web Data Mining and Analysis 4
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- Topic Modeling 7
- Cognitive Computing and Networks 2
- Semantic Web and Ontologies 2
- Co-authors
- Zijiang Yang (3 shared papers)Jin Liu (6 shared papers)Xiao Liu (4 shared papers)Jin Liu (4 shared papers)John Grundy (2 shared papers)Guangyou Zhou (1 shared paper)Yasheng Wang (4 shared papers)Yao Wan (3 shared papers)
- Journals
- Ceramics International (2 papers)Materials (1 paper)Information and Software Technology (1 paper)Personal and Ubiquitous Computing (1 paper)Automated Software Engineering (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Pingyi Zhou
15 papers receiving 247 citations
Peers
Comparison fields: 5 of 35
- Software 38
- Ceramics and Composites 40
- Information Systems 156
- Artificial Intelligence 126
- Computer Science Applications 15
Countries citing papers authored by Pingyi Zhou
This map shows the geographic impact of Pingyi Zhou'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 Pingyi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingyi Zhou more than expected).
Fields of papers citing papers by Pingyi Zhou
This network shows the impact of papers produced by Pingyi Zhou. 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 Pingyi Zhou. The network helps show where Pingyi Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingyi Zhou, 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 | 2017 | 45 | |
| 2 | 2019 | 34 | |
| 3 | 2018 | 29 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 28 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 4 | |
| 11 | 2016 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 0 |
About Pingyi Zhou
Pingyi Zhou is a scholar working on Information Systems, Artificial Intelligence, Ceramics and Composites, Software and Molecular Biology, having authored 16 papers that have together received 248 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Software Engineering Research (7 papers), Web Data Mining and Analysis (4 papers), Advanced ceramic materials synthesis (3 papers), Cognitive Computing and Networks (2 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers), Semantic Web and Ontologies (2 papers) and Advanced materials and composites (2 papers). The work is most often cited by research in Software (38 citations), Ceramics and Composites (40 citations), Information Systems (156 citations), Artificial Intelligence (126 citations) and Computer Science Applications (15 citations). Pingyi Zhou has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Zijiang Yang, Jin Liu, Xiao Liu, Jin Liu, John Grundy, Guangyou Zhou, Yasheng Wang, Yao Wan, Hao Wu and Xin Wang. Their work appears in journals such as Ceramics International, Materials, Information and Software Technology, Personal and Ubiquitous Computing and Automated Software Engineering.
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.