Haiping Yu

574 citations
14 papers · 484 indexed · h-index 9
Topics
Recommender Systems and Techniques (7 papers)Advanced Graph Neural Networks (3 papers)Advanced Vision and Imaging (2 papers)
Partner nations
ChinaFrance

In The Last Decade

Haiping Yu

12 papers receiving 468 citations

Peers

Haiping Yu
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 222
  • Artificial Intelligence 195
  • Information Systems 178
  • Computer Networks and Communications 61
  • Industrial and Manufacturing Engineering 26
Replace Jinlin Chen with:
Jinlin Chen China
Miao Hu China
Yuxin Mao China
Neeta Nain India
Wenwen Gong China
P.W. Grant United Kingdom
Sangwook Kim South Korea
Weijia Jia China
Uday Kulkarni India
Haiping Yu relative to Jinlin Chen China Jinlin Chen's profile →
Citations per field
00.5×6.5×
Jinlin Chen · 1×
Citations per year

Countries citing papers authored by Haiping Yu

Since Specialization
Citations

This map shows the geographic impact of Haiping 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 Haiping Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiping Yu more than expected).

Fields of papers citing papers by Haiping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haiping 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 Haiping Yu. The network helps show where Haiping Yu may publish in the future.

Co-authorship network of co-authors of Haiping Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiping Yu. A scholar is included among the top collaborators of Haiping Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haiping Yu. Haiping Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2
Application of Large Data Technology in Financial Credit Risk Prediction of Internet of Things
1
3 123
4 71
5 27
6 50
7 3
8 82
9 52
10 48
11
Trust-aware Collaborative Denoising Auto-Encoder for Top-N Recommendation
11
12 0
13 3
14 13

About Haiping Yu

Haiping Yu is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Statistical and Nonlinear Physics, having authored 14 papers that have together received 484 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (3 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (222 citations), Information Systems (178 citations) and Artificial Intelligence (195 citations). Haiping Yu has collaborated with scholars based in China and France. Frequent co-authors include Yiteng Pan, Fazhi He, Fazhi He, Xiao Chen, Kang Li, Xiaohong Chen, Kang Li, Haoran Li, Yuquan Zhu and Geng Chen. Their work appears in journals such as IEEE Access, Neurocomputing and Neural Computing and 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.

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