Xiaoying Yang
- Health Informatics top 5%
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- Cardiovascular Function and Risk Factors 2
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- Cardiac Imaging and Diagnostics 3
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- Indoor and Outdoor Localization Technologies 6
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- Underwater Vehicles and Communication Systems 6
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- Advanced Sensor and Control Systems 3
- Advanced Algorithms and Applications 3
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- IoT and Edge/Fog Computing 3
- Energy Efficient Wireless Sensor Networks 3
- Co-authors
- João A.C. LimaDavid A. BluemkeBharath Ambale‐VenkateshColin O. WuAntoinette S. GomesKiang LiuAaron R. FolsomSteven Shea
- Journals
- Circulation Research (1 paper)FEBS Letters (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoying Yang
20 papers receiving 671 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Health Informatics 38
- Health Information Management 91
- Cardiology and Cardiovascular Medicine 244
- Management Science and Operations Research 83
- Radiology, Nuclear Medicine and Imaging 123
Countries citing papers authored by Xiaoying Yang
This map shows the geographic impact of Xiaoying Yang'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 Xiaoying Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Yang more than expected).
Fields of papers citing papers by Xiaoying Yang
This network shows the impact of papers produced by Xiaoying Yang. 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 Xiaoying Yang. The network helps show where Xiaoying Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoying Yang, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 1 | |
| 6 | Supplier selection in sustainable supply chains: Using the integrated BWM, fuzzy Shannon entropy, and fuzzy MULTIMOORA methodsbreakdown → | 2022 | 133 |
| 7 | 2020 | 18 | |
| 8 | 2020 | 10 | |
| 9 | 2018 | 1 | |
| 10 | Cardiovascular Event Prediction by Machine Learningbreakdown → | 2017 | 412 |
| 11 | 2017 | 25 | |
| 12 | 2016 | 4 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 0 | |
| 16 | 2015 | 4 | |
| 17 | 2015 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 2014 | 1 | |
| 20 | 2012 | 9 |
About Xiaoying Yang
Xiaoying Yang is a scholar working on Ocean Engineering, Internal Medicine and Computer Networks and Communications, having authored 22 papers that have together received 686 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (6 papers), Underwater Vehicles and Communication Systems (6 papers), Cardiac Imaging and Diagnostics (3 papers), Advanced Sensor and Control Systems (3 papers), IoT and Edge/Fog Computing (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Advanced Algorithms and Applications (3 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Health Informatics (38 citations), Health Information Management (91 citations) and Cardiology and Cardiovascular Medicine (244 citations). Xiaoying Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include João A.C. Lima, David A. Bluemke, Bharath Ambale‐Venkatesh, Colin O. Wu, Antoinette S. Gomes, Kiang Liu, Aaron R. Folsom, Steven Shea, W. Gregory Hundley and Eliseo Güallar. Their work appears in journals such as Circulation Research, FEBS Letters and Expert Systems with Applications.
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.