Haiyang Li

613 total citations
51 papers, 381 citations indexed

About

Haiyang Li is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Haiyang Li has authored 51 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Haiyang Li's work include Sparse and Compressive Sensing Techniques (14 papers), Neural dynamics and brain function (7 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Haiyang Li is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Neural dynamics and brain function (7 papers) and Photoacoustic and Ultrasonic Imaging (6 papers). Haiyang Li collaborates with scholars based in China, United Kingdom and Australia. Haiyang Li's co-authors include Guijie Liu, Weihua Li, Zhixiong Li, Dingxin Leng, Jigen Peng, Shigang Yue, Jigen Peng, Qian Zhang, Qing Tao and Zhixiong Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Haiyang Li

39 papers receiving 375 citations

Peers

Haiyang Li
Comparison fields: 5 of 69
  • Computational Mechanics 220
  • Control and Systems Engineering 129
  • Environmental Engineering 108
  • Mechanics of Materials 49
  • Computer Vision and Pattern Recognition 46
Replace Tingwei Ji with:
Tingwei Ji China
Henrik Hesse United Kingdom
Hang Guo China
Deryl Snyder United States
James Urnes United States
Dongli Ma China
John Jasa United States
Feng Ren China
Berend G. van der Wall Germany
Wayne Johnson United States
Tingwei Ji China View profile →
Citations per field, relative to Haiyang Li
Haiyang Li · 1×
Citations per year, relative to Haiyang Li
Haiyang Li · 1×

Countries citing papers authored by Haiyang Li

Since Specialization
Citations

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

Fields of papers citing papers by Haiyang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Li. A scholar is included among the top collaborators of Haiyang Li 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 Haiyang Li. Haiyang Li 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 0
2 0
3 1
4 2
5 3
6 0
7 1
8 0
9 0
10 2
11 8
12 0
13 1
14 5
15 6
16 1
17 5
18 14
19 15
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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