Xingyu Zhao
- Software top 5%
- Software Reliability and Analysis Research 13
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- Safety Systems Engineering in Autonomy 12
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- Risk and Safety Analysis 9
- Medical Laboratory Technology top 10%
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- Adversarial Robustness in Machine Learning 8
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- Formal Methods in Verification 6
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- Advanced ceramic materials synthesis 4
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- MXene and MAX Phase Materials 4
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- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- David FlynnValentin RobuFateme DinmohammadiMike BarnesAdrian StetcoJohn KeaneGoran NenadićLorenzo Strigini
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)Environmental Science & Technology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xingyu Zhao
78 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Control and Systems Engineering 414
- Software 67
- Safety, Risk, Reliability and Quality 147
- Statistics, Probability and Uncertainty 76
- Medical Laboratory Technology 13
Countries citing papers authored by Xingyu Zhao
This map shows the geographic impact of Xingyu Zhao'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 Xingyu Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Zhao more than expected).
Fields of papers citing papers by Xingyu Zhao
This network shows the impact of papers produced by Xingyu Zhao. 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 Xingyu Zhao. The network helps show where Xingyu Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xingyu Zhao, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 24 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 10 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 18 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 0 | |
| 20 | Machine learning methods for wind turbine condition monitoring: A reviewbreakdown → | 2018 | 588 |
About Xingyu Zhao
Xingyu Zhao is a scholar working on Software, Safety, Risk, Reliability and Quality and Health Informatics, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (13 papers), Safety Systems Engineering in Autonomy (12 papers), Risk and Safety Analysis (9 papers), Adversarial Robustness in Machine Learning (8 papers), Formal Methods in Verification (6 papers), Advanced ceramic materials synthesis (4 papers), MXene and MAX Phase Materials (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Control and Systems Engineering (414 citations), Software (67 citations) and Safety, Risk, Reliability and Quality (147 citations). Xingyu Zhao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include David Flynn, Valentin Robu, Fateme Dinmohammadi, Mike Barnes, Adrian Stetco, John Keane, Goran Nenadić, Lorenzo Strigini, Xiaowei Huang and Jingtao Ma. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.