La Li

4.7k citations
80 papers · 4.2k · h-index 35

Impact in

Papers in

La Li

76 papers receiving 4.1k citations

Peers

La Li
Comparison fields: 5 of 72
  • Electronic, Optical and Magnetic Materials 1.3k
  • Biomedical Engineering 968
  • Electrical and Electronic Engineering 1.1k
  • Materials Chemistry 758
  • Renewable Energy, Sustainability and the Environment 184
Replace Mengxiao Chen with:
Mengxiao Chen China
Jian Chang China
Won Gi Hong South Korea
Ju‐Won Jeon United States
Xiang Chu China
Qiongzhen Liu China
Sergio Pinilla Spain
Sooman Lim South Korea
Shuanghao Zheng China
La Li relative to Mengxiao Chen China Mengxiao Chen's profile →
Citations per field
00.5×2×3.4×
Mengxiao Chen · 1×
Citations per year

Countries citing papers authored by La Li

Since Specialization
Citations

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

Fields of papers citing papers by La Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside La Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with La Li Line = papers co-authored together La Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017288
2 2017275
3 2017228
4 2020204
5 2019191
6 2017165
7 2019144
8 2019139
9 2017121
10 2020116
11 2021109
12 201798
13 201793
14 201791
15 202188
16 201883
17 201981
18 201678
19 201876
20 201975

About La Li

La Li is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 4.2k indexed citations. Recurring topics across this work include MXene and MAX Phase Materials (21 papers), Supercapacitor Materials and Fabrication (21 papers), Advanced Sensor and Energy Harvesting Materials (19 papers), Advancements in Battery Materials (5 papers), Advanced Battery Materials and Technologies (4 papers), 2D Materials and Applications (4 papers), Neuroscience and Neural Engineering (4 papers) and Advanced battery technologies research (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.3k citations), Biomedical Engineering (968 citations), Electrical and Electronic Engineering (1.1k citations), Materials Chemistry (758 citations) and Renewable Energy, Sustainability and the Environment (184 citations). La Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guozhen Shen, Wei Zhong Han, Zheng Lou, Di Chen, Junzhi Li, Duo Chen, Lili Wang, Shuai Chen, Meng Jie Lu and Dong Cai. Their work appears in journals such as Advanced Materials Technologies, Small, Journal of Materials Chemistry A, ACS Applied Materials & Interfaces and Electrochimica Acta.

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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