Puyin Liu

425 total citations
19 papers, 306 citations indexed

About

Puyin Liu is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Puyin Liu has authored 19 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 3 papers in Management Science and Operations Research. Recurrent topics in Puyin Liu's work include Neural Networks and Applications (13 papers), Fuzzy Logic and Control Systems (12 papers) and Fuzzy Systems and Optimization (9 papers). Puyin Liu is often cited by papers focused on Neural Networks and Applications (13 papers), Fuzzy Logic and Control Systems (12 papers) and Fuzzy Systems and Optimization (9 papers). Puyin Liu collaborates with scholars based in China and Czechia. Puyin Liu's co-authors include Hongxing Li, Hao Wang and Qiang Luo and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Puyin Liu

19 papers receiving 279 citations

Peers

Puyin Liu
Comparison fields: 5 of 62
  • Artificial Intelligence 205
  • Statistics and Probability 82
  • Control and Systems Engineering 69
  • Computer Vision and Pattern Recognition 42
  • Management Science and Operations Research 39
Replace Hiroyoshi Nomura with:
Hiroyoshi Nomura Japan
G.C. Mouzouris United States
L.T. Kóczy Hungary
Daniel G. Schwartz United States
Seunghwan Ji South Korea
Yunwen Lei China
Chen-Wei Xu China
Şahin Emrah Amrahov Türkiye
Fred W. Smith United States
Robert Nishihara United States
Hiroyoshi Nomura Japan View profile →
Citations per field, relative to Puyin Liu
Puyin Liu · 1×
Citations per year, relative to Puyin Liu
Puyin Liu · 1×

Countries citing papers authored by Puyin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Puyin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puyin Liu

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

All Works

19 of 19 papers shown
# Work Indexed citations
1
A New Supervised Learning Algorithm for Probabilistic Neural Network
2
2 4
3 18
4 78
5 16
6 28
7 4
8 11
9 14
10 25
11 1
12 23
13 2
14 17
15 20
16 4
17 30
18 6
19 3

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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