He Liu

448 total citations
27 papers, 208 citations indexed

About

He Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, He Liu has authored 27 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in He Liu's work include Advanced Vision and Imaging (4 papers), Advanced Neural Network Applications (3 papers) and Breast Lesions and Carcinomas (2 papers). He Liu is often cited by papers focused on Advanced Vision and Imaging (4 papers), Advanced Neural Network Applications (3 papers) and Breast Lesions and Carcinomas (2 papers). He Liu collaborates with scholars based in China, United States and Sweden. He Liu's co-authors include Zhihong Deng, Yi Sun, Hongliang Yu, Hao Pan, Huan Zhao, Mangui Liang, Ming‐Ming Wu, Chenyang Zhao, Harold H. Zakon and Yuxin Jiang and has published in prestigious journals such as Current Biology, IEEE Access and Pattern Recognition.

In The Last Decade

He Liu

24 papers receiving 196 citations

Peers

He Liu
Comparison fields: 5 of 70
  • Artificial Intelligence 88
  • Computer Vision and Pattern Recognition 73
  • Aerospace Engineering 24
  • Radiology, Nuclear Medicine and Imaging 19
  • Signal Processing 13
Replace Zhenglun Kong with:
Zhenglun Kong United States
Zizheng Pan Australia
Nan Song China
Peipei Yang China
R. Vijaya Kumar Reddy India
Xinzhe Li China
Marwa Elpeltagy Egypt
A S Remya Ajai India
Zhenglun Kong United States View profile →
Citations per field, relative to He Liu
He Liu · 1×
Citations per year, relative to He Liu
He Liu · 1×

Countries citing papers authored by He Liu

Since Specialization
Citations

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

Fields of papers citing papers by He Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Liu

This figure shows the co-authorship network connecting the top 25 collaborators of He Liu. A scholar is included among the top collaborators of He Liu 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 He Liu. He Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 0
5 0
6 2
7 9
8 3
9 3
10 14
11 2
12 4
13 41
14 5
15 19
16 8
17 3
18
A Feature Weighting Scheme for Text Categorization Based on Feature Importance
4
19
Semi-Supervised K-Means Clustering Algorithm for Multi-Type Relational Data
1
20 10

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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