Shipeng Yu
Impact in
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 0.5%
- Text and Document Classification Technologies
- Data Stream Mining Techniques
- Machine Learning and Data Classification
Papers in
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- Bayesian Methods and Mixture Models 7
- Machine Learning in Healthcare 7
- Text and Document Classification Technologies 6
- Machine Learning and Data Classification 6
- Machine Learning and Algorithms 6
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- Face and Expression Recognition 7
- Co-authors
- Vikas Chandrakant Raykar (6 shared papers)Volker Tresp (16 shared papers)Kai Yu (14 shared papers)Wei-Ying Ma (3 shared papers)Deng Cai (3 shared papers)Ji-Rong Wen (3 shared papers)Luca Bogoni (3 shared papers)Linda H. Zhao (2 shared papers)
- Journals
- Journal of Machine Learning Research (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Environmental Earth Sciences (2 papers)Radiotherapy and Oncology (2 papers)ACM Transactions on Knowledge Discovery from Data (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Shipeng Yu
83 papers receiving 4.4k citations
Shipeng Yu's Hit Papers
Peers
Comparison fields: 5 of 162
- Computer Science Applications 848
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 1.1k
- Information Systems 1.1k
- Signal Processing 327
Countries citing papers authored by Shipeng Yu
This map shows the geographic impact of Shipeng Yu'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 Shipeng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipeng Yu more than expected).
Fields of papers citing papers by Shipeng Yu
This network shows the impact of papers produced by Shipeng Yu. 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 Shipeng Yu. The network helps show where Shipeng Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shipeng Yu, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning From Crowds Hit paper breakdown → | 2010 | 760 |
| 2 | VIPS: a Vision-based Page Segmentation Algorithm | 2003 | 397 |
| 3 | 2009 | 263 | |
| 4 | 2003 | 256 | |
| 5 | Eliminating spammers and ranking annotators for crowdsourced labeling tasks | 2012 | 210 |
| 6 | 2005 | 205 | |
| 7 | 2008 | 175 | |
| 8 | 2007 | 149 | |
| 9 | 2010 | 147 | |
| 10 | 2004 | 130 | |
| 11 | 2006 | 117 | |
| 12 | 2016 | 105 | |
| 13 | 2011 | 94 | |
| 14 | 2010 | 88 | |
| 15 | 2015 | 85 | |
| 16 | 2009 | 85 | |
| 17 | 2008 | 82 | |
| 18 | 2008 | 79 | |
| 19 | Soft Clustering on Graphs | 2005 | 70 |
| 20 | 2010 | 62 |
About Shipeng Yu
Shipeng Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering, Computer Science Applications and Health Information Management, having authored 84 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Face and Expression Recognition (7 papers), Machine Learning in Healthcare (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Text and Document Classification Technologies (6 papers), Machine Learning and Data Classification (6 papers), Soil Geostatistics and Mapping (6 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Computer Science Applications (848 citations), Artificial Intelligence (2.6k citations), Computer Vision and Pattern Recognition (1.1k citations), Information Systems (1.1k citations) and Signal Processing (327 citations). Shipeng Yu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Vikas Chandrakant Raykar, Volker Tresp, Kai Yu, Wei-Ying Ma, Deng Cai, Ji-Rong Wen, Luca Bogoni, Linda H. Zhao, Gerardo Hermosillo Valadez and Charles Florin. Their work appears in journals such as Journal of Machine Learning Research, International Journal of Radiation Oncology*Biology*Physics, Environmental Earth Sciences, Radiotherapy and Oncology and ACM Transactions on Knowledge Discovery from Data.
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.