Shipeng Yu

5.9k citations
78 papers · 3.6k · 1 hit paper · h-index 30

Impact in

Papers in

Shipeng Yu

76 papers receiving 3.4k citations

Shipeng Yu's Hit Papers

Learning From Crowds 2010 · 650 citations
6500+5+10Years since publication200400600

Peers

Shipeng Yu
Comparison fields: 5 of 160
  • Computer Science Applications 596
  • Artificial Intelligence 2.0k
  • Computer Vision and Pattern Recognition 910
  • Information Systems 760
  • Signal Processing 258
Replace Glenn Fung with:
Glenn Fung United States
Panagiotis Pintelas Greece
Mark Goadrich United States
Jing Gao United States
Liangxiao Jiang China
Chris Burges United States
Daniel Kifer United States
Ameet Talwalkar United States
Zhigang Chen China
Shipeng Yu relative to Glenn Fung United States Glenn Fung's profile →
Citations per field
00.5×3.4×
Glenn Fung · 1×
Citations per year

Countries citing papers authored by Shipeng Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shipeng Yu Line = papers co-authored together Shipeng Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning From Crowds
Hit paper breakdown →
2010650
2
VIPS: a Vision-based Page Segmentation Algorithm
2003325
3 2009232
4 2005173
5 2003169
6 2008160
7 2010137
8 2006105
9 200494
10 201683
11 201180
12 200979
13 201575
14 200871
15
Soft Clustering on Graphs
200568
16 201068
17 201055
18 200752
19
Ranking annotators for crowdsourced labeling tasks
201151
20
On the equivalence between canonical correlation analysis and orthonormalized partial least squares
200949

About Shipeng Yu

Shipeng Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering, Molecular Biology and Information Systems, having authored 78 papers that have together received 3.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Machine Learning in Healthcare (7 papers), Text and Document Classification Technologies (6 papers), Soil Geostatistics and Mapping (6 papers), Machine Learning and Data Classification (6 papers), Bayesian Methods and Mixture Models (6 papers), Machine Learning and Algorithms (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Computer Science Applications (596 citations), Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (910 citations), Information Systems (760 citations) and Signal Processing (258 citations). Shipeng Yu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Volker Tresp, Vikas C. Raykar, Kai Yu, Ji-Rong Wen, Deng Cai, Wei‐Ying Ma, Luca Bogoni, Linda Moy, Gerardo Hermosillo Valadez and Charles Florin. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Environmental Earth Sciences, Journal of Machine Learning Research and Medical Physics.

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.

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