Tie Li

4.5k total citations · 4 hit papers
87 papers, 3.8k citations indexed

About

Tie Li is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Tie Li has authored 87 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Biomedical Engineering, 36 papers in Electrical and Electronic Engineering and 21 papers in Cognitive Neuroscience. Recurrent topics in Tie Li's work include Advanced Sensor and Energy Harvesting Materials (35 papers), Tactile and Sensory Interactions (18 papers) and Supercapacitor Materials and Fabrication (13 papers). Tie Li is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (35 papers), Tactile and Sensory Interactions (18 papers) and Supercapacitor Materials and Fabrication (13 papers). Tie Li collaborates with scholars based in China, United States and Singapore. Tie Li's co-authors include Ting Zhang, James Farrell, Hui Luo, Shuqi Wang, Yue Li, Yang Gu, Xuewen Wang, Zheng Liu, Yuanyuan Bai and Haiyan Ding and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Tie Li

78 papers receiving 3.7k citations

Hit Papers

Flexible Capacitive Tactile Sensor Based on Micropatterne... 2016 2026 2019 2022 2016 2023 2024 2023 100 200 300 400

Peers

Tie Li
Comparison fields: 5 of 110
  • Biomedical Engineering 2.5k
  • Electrical and Electronic Engineering 1.7k
  • Polymers and Plastics 824
  • Cognitive Neuroscience 818
  • Materials Chemistry 570
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Mufang Li China
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Mufang Li China View profile →
Citations per field, relative to Tie Li
Tie Li · 1×
Citations per year, relative to Tie Li
Tie Li · 1×

Countries citing papers authored by Tie Li

Since Specialization
Citations

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

Fields of papers citing papers by Tie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tie Li. A scholar is included among the top collaborators of Tie 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 Tie Li. Tie 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 0
4 1
5 0
6 3
7 6
8 21
9 3
10 1
11 5
12 57
13 25
14
Biological Tissue-Inspired Ultrasoft, Ultrathin, and Mechanically Enhanced Microfiber Composite Hydrogel for Flexible Bioelectronics breakdown →
88
15 62
16 43
17 26
18 66
19 22
20 5

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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