Peixuan Li

953 citations
32 papers · 317 indexed · h-index 11
Topics
Advanced Neural Network Applications (6 papers)Maternal Mental Health During Pregnancy and Postpartum (5 papers)Birth, Development, and Health (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBrain Research

In The Last Decade

Peixuan Li

27 papers receiving 312 citations

Peers

Peixuan Li
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 137
  • Aerospace Engineering 73
  • Pediatrics, Perinatology and Child Health 69
  • Public Health, Environmental and Occupational Health 42
  • Obstetrics and Gynecology 31
Replace Zheng Hu with:
Zheng Hu Canada
Yutao Li China
Emmanuelle Cohen‐Solal France
É. Brassart France
Liuhui Wang China
James English United States
Richard Ivey United States
Sylvia Rueda United Kingdom
Amir Alansary United States
Richard V. Stebbing United Kingdom
Peixuan Li relative to Zheng Hu Canada Zheng Hu's profile →
Citations per field
00.5×9.9×
Zheng Hu · 1×
Citations per year

Countries citing papers authored by Peixuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Peixuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Peixuan Li. A scholar is included among the top collaborators of Peixuan 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 Peixuan Li. Peixuan 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
#WorkIndexed citations
1 0
2 8
3 0
4 1
5 1
6 22
7 0
8 3
9 3
10 3
11 8
12 4
13 10
14 6
15 14
16 10
17 23
18 4
19 51
20 8

About Peixuan Li

Peixuan Li is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Maternal Mental Health During Pregnancy and Postpartum (5 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (137 citations), Obstetrics and Gynecology (31 citations) and Health Informatics (5 citations). Peixuan Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huaici Zhao, Kun Huang, Feidao Cao, Pengfei Liu, Fangbiao Tao, Shanshan Zhang, Fu Zhang, Shanshan Zhang, Mengting Yang and Yang Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

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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