Lijun Yang

1.1k total citations
40 papers, 781 citations indexed

About

Lijun Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Lijun Yang has authored 40 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Lijun Yang's work include Advanced Clustering Algorithms Research (12 papers), Anomaly Detection Techniques and Applications (10 papers) and Face and Expression Recognition (8 papers). Lijun Yang is often cited by papers focused on Advanced Clustering Algorithms Research (12 papers), Anomaly Detection Techniques and Applications (10 papers) and Face and Expression Recognition (8 papers). Lijun Yang collaborates with scholars based in China, United States and Sweden. Lijun Yang's co-authors include Jinlong Huang, Qingsheng Zhu, Dongdong Cheng, Quanwang Wu, Ji Feng, Ruijin Liao, Stanislaw Gubanski, J. Schiessling, Yuriy Serdyuk and S. Grzybowski and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Lijun Yang

35 papers receiving 752 citations

Peers

Lijun Yang
Comparison fields: 5 of 77
  • Artificial Intelligence 563
  • Computer Vision and Pattern Recognition 220
  • Electrical and Electronic Engineering 147
  • Signal Processing 134
  • Statistical and Nonlinear Physics 121
Replace Qindong Sun with:
Qindong Sun China
Jing Peng United States
Xuchao Zhang United States
Zhang-Hua Fu China
Adil M. Ahmad Saudi Arabia
Udayan Khurana United States
Ripon Patgiri India
Lijun Dong United States
Insoo Sohn South Korea
Qingzheng Xu China
Qindong Sun China View profile →
Citations per field, relative to Lijun Yang
Lijun Yang · 1×
Citations per year, relative to Lijun Yang
Lijun Yang · 1×

Countries citing papers authored by Lijun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lijun Yang. A scholar is included among the top collaborators of Lijun Yang 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 Lijun Yang. Lijun Yang 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 2
2 0
3 0
4 0
5 12
6 2
7 1
8 5
9 1
10 1
11 0
12 7
13 1
14 1
15 91
16 17
17
An Assessment Method for Insulation Condition of Power Transformer Based upon Cloud Model
13
18
Power Transformer Condition Assessment Strategy Using Matter Element Analysis
2
19 10
20 1

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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