Ya Xue
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques 2
- Signal Processing top 1%
- Acoustics and Ultrasonics top 5%
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- Face and Expression Recognition 3
- Artificial Intelligence top 2%
- Bayesian Methods and Mixture Models 6
- Target Tracking and Data Fusion in Sensor Networks 3
- Machine Learning and Algorithms 2
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- Statistical Methods and Bayesian Inference 3
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- Fault Detection and Control Systems 2
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- Synthesis and properties of polymers 2
- Co-authors
- Lawrence CarinShihao JiXuejun LiaoBalaji KrishnapuramDavid B. DunsonD. A. WilliamsDarryl MorrellWeizhong Yan
- Journals
- Journal of Applied Polymer Science (1 paper)Polymer Degradation and Stability (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ya Xue
27 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computational Mechanics 1.2k
- Signal Processing 614
- Acoustics and Ultrasonics 28
- Computer Vision and Pattern Recognition 493
- Artificial Intelligence 675
Countries citing papers authored by Ya Xue
This map shows the geographic impact of Ya Xue'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 Ya Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Xue more than expected).
Fields of papers citing papers by Ya Xue
This network shows the impact of papers produced by Ya Xue. 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 Ya Xue. The network helps show where Ya Xue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ya Xue, 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 | 8 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 3 | |
| 5 | 2017 | 35 | |
| 6 | 2017 | 11 | |
| 7 | Potential Benefit,Risk Preference and Farmers' Willingness to Plant Genetically Modified Crops:Based on a Survey of over 700 Households from five Provinces in China | 2014 | 1 |
| 8 | 2012 | 31 | |
| 9 | 2008 | 6 | |
| 10 | Bayesian Compressive Sensingbreakdown → | 2008 | 1763 |
| 11 | 2008 | 45 | |
| 12 | 2007 | 76 | |
| 13 | 2007 | 4 | |
| 14 | 2007 | 18 | |
| 15 | 2005 | 121 | |
| 16 | 2003 | 16 | |
| 17 | 2003 | 9 | |
| 18 | 2002 | 2 | |
| 19 | 2001 | 1 | |
| 20 | DETERMINATION OF KAISER POINT IN MEASUREMENT OF GEO-STRESS WITH ACOUSTIC EMISSION | 2000 | 0 |
About Ya Xue
Ya Xue is a scholar working on Statistics and Probability, Instrumentation and Artificial Intelligence, having authored 29 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (6 papers), Face and Expression Recognition (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Statistical Methods and Bayesian Inference (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Machine Learning and Algorithms (2 papers), Fault Detection and Control Systems (2 papers) and Synthesis and properties of polymers (2 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Signal Processing (614 citations) and Acoustics and Ultrasonics (28 citations). Ya Xue has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Lawrence Carin, Shihao Ji, Xuejun Liao, Balaji Krishnapuram, David B. Dunson, D. A. Williams, Darryl Morrell, Weizhong Yan, David P. Williams and Lindsey Smith Taillie. Their work appears in journals such as Journal of Applied Polymer Science, Polymer Degradation and Stability, Frontiers in Psychology, Neural Networks and Journal of the American Statistical Association.
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.