Xiaoyue Wang
Impact in
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Data Management and Algorithms
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
Papers in
-
- RNA modifications and cancer 6
- RNA and protein synthesis mechanisms 5
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- Topic Modeling 6
- Co-authors
- Eamonn Keogh (13 shared papers)Hui Ding (2 shared papers)Goce Trajcevski (2 shared papers)Peter Scheuermann (2 shared papers)Abdullah Mueen (1 shared paper)Gustavo E. A. P. A. Batista (1 shared paper)Yuchen Jiao (4 shared papers)Craig Montell (2 shared papers)
- Journals
- Genome biology (4 papers)Briefings in Bioinformatics (4 papers)Infection and Drug Resistance (3 papers)Advanced Science (3 papers)International Journal of Emerging Technologies in Learning (iJET) (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoyue Wang
163 papers receiving 4.6k citations
Xiaoyue Wang's Hit Papers
Peers
Comparison fields: 5 of 194
- Signal Processing 1.3k
- Artificial Intelligence 944
- Catalysis 154
- Cancer Research 250
- Process Chemistry and Technology 51
Countries citing papers authored by Xiaoyue Wang
This map shows the geographic impact of Xiaoyue Wang'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 Xiaoyue Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyue Wang more than expected).
Fields of papers citing papers by Xiaoyue Wang
This network shows the impact of papers produced by Xiaoyue Wang. 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 Xiaoyue Wang. The network helps show where Xiaoyue Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyue Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Querying and mining of time series data Hit paper breakdown → | 2008 | 912 |
| 2 | Experimental comparison of representation methods and distance measures for time series data Hit paper breakdown → | 2012 | 558 |
| 3 | Single-cell RNA sequencing reveals a pro-invasive cancer-associated fibroblast subgroup associated with poor clinical outcomes in patients with gastric cancer Hit paper breakdown → | 2021 | 232 |
| 4 | 2011 | 218 | |
| 5 | 2008 | 217 | |
| 6 | 2008 | 203 | |
| 7 | 2012 | 103 | |
| 8 | 2017 | 103 | |
| 9 | 2020 | 100 | |
| 10 | 2022 | 97 | |
| 11 | 2023 | 83 | |
| 12 | 2018 | 78 | |
| 13 | 2020 | 71 | |
| 14 | 2020 | 70 | |
| 15 | 2018 | 65 | |
| 16 | 2022 | 65 | |
| 17 | 2017 | 65 | |
| 18 | 2020 | 57 | |
| 19 | 2022 | 56 | |
| 20 | 2018 | 54 |
About Xiaoyue Wang
Xiaoyue Wang is a scholar working on Molecular Biology, Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition and Oncology, having authored 179 papers that have together received 4.7k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (6 papers), Image Retrieval and Classification Techniques (6 papers), Catalytic Processes in Materials Science (6 papers), Topic Modeling (6 papers), Catalysts for Methane Reforming (6 papers), RNA modifications and cancer (6 papers), RNA and protein synthesis mechanisms (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Signal Processing (1.3k citations), Artificial Intelligence (944 citations), Catalysis (154 citations), Cancer Research (250 citations) and Process Chemistry and Technology (51 citations). Xiaoyue Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Eamonn Keogh, Hui Ding, Goce Trajcevski, Peter Scheuermann, Abdullah Mueen, Gustavo E. A. P. A. Batista, Yuchen Jiao, Craig Montell, Gongxin Peng and Seok Jun Moon. Their work appears in journals such as Genome biology, Briefings in Bioinformatics, Infection and Drug Resistance, Advanced Science and International Journal of Emerging Technologies in Learning (iJET).
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.