Yaxuan Li

3.1k citations
113 papers · 2.0k indexed · 1 hit paper · h-index 24
Topics
Advancements in Battery Materials (11 papers)Supercapacitor Materials and Fabrication (10 papers)Wheat and Barley Genetics and Pathology (8 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Yaxuan Li

102 papers receiving 2.0k citations

Hit Papers

Deep Learning in Human Activity Recognition with Wearable...2022202620232024202250100150200250

Peers

Yaxuan Li
Comparison fields: 5 of 148
  • Plant Science 486
  • Molecular Biology 411
  • Computer Vision and Pattern Recognition 219
  • Biomedical Engineering 210
  • Electrical and Electronic Engineering 197
Replace Rui Gao with:
Rui Gao China
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Liqing Chen China
Sukanta Sen India
Xuejiao Wang China
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Yaxuan Li relative to Rui Gao China Rui Gao's profile →
Citations per field
00.5×11.6×
Rui Gao · 1×
Citations per year

Countries citing papers authored by Yaxuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Yaxuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaxuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yaxuan Li. A scholar is included among the top collaborators of Yaxuan 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 Yaxuan Li. Yaxuan 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 4
3 0
4 0
5 6
6 7
7 1
8 1
9 4
10 7
11 7
12 1
13 1
14 23
15 5
16 2
17 27
18
Cloning and sequence analysis of FIE and MSI1 genes from Nicotiana tabacum.
1
19
[Activation tagging and the application in plant genetic engineering].
1
20
Pollen morphology of the tribe Cynoglosseae of Boraginoideae (Boraginaceae) in China
11

About Yaxuan Li

Yaxuan Li is a scholar working on Human-Computer Interaction, Plant Science and Molecular Medicine, having authored 113 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advancements in Battery Materials (11 papers), Supercapacitor Materials and Fabrication (10 papers) and Wheat and Barley Genetics and Pathology (8 papers). The work is most often cited by research in Obstetrics and Gynecology (103 citations), Plant Science (486 citations) and Pollution (141 citations). Yaxuan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yingkao Hu, Yueming Yan, Farzad Shahabi, Shen Zhang, Shibo Zhang, Stephen Xia, Nabil Alshurafa, Yu Deng, Bin Men and Yi He. Their work appears in journals such as Nano Letters, ACS Nano and Bioinformatics.

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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