Tai‐De Li

3.2k citations
49 papers · 2.6k · h-index 22

Impact in

Papers in

Tai‐De Li

45 papers receiving 2.6k citations

Peers

Tai‐De Li
Comparison fields: 5 of 121
  • Cell Biology 369
  • Polymers and Plastics 310
  • Biomaterials 286
  • Electrical and Electronic Engineering 938
  • Atomic and Molecular Physics, and Optics 464
Replace Aleš Iglič with:
Aleš Iglič Slovenia
Paul Roach United Kingdom
С. А. Чижик Belarus
Frank W. DelRio‬ United States
Alessandro Podestà Italy
Giacomo Ceccone Italy
Guoliang Yang China
Tomohiro Konno Japan
Shuyuan Zhang China
Adam W. Perriman United Kingdom
Tai‐De Li relative to Aleš Iglič Slovenia Aleš Iglič's profile →
Citations per field
00.5×1.5×1.9×
Aleš Iglič · 1×
Citations per year

Countries citing papers authored by Tai‐De Li

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐De Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tai‐De 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 Tai‐De Li Line = papers co-authored together Tai‐De Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019309
2 2007285
3 2010281
4 2017275
5 2016193
6 2021178
7 2007155
8 2007112
9 200875
10 201774
11 202074
12 201763
13 202256
14 202049
15 201643
16 201840
17 202138
18 201430
19 202129
20 202223

About Tai‐De Li

Tai‐De Li is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Biomaterials, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (8 papers), Conducting polymers and applications (6 papers), Supramolecular Self-Assembly in Materials (6 papers), Perovskite Materials and Applications (6 papers), 2D Materials and Applications (5 papers), Organic Electronics and Photovoltaics (4 papers), Cellular Mechanics and Interactions (4 papers) and Molecular Junctions and Nanostructures (4 papers). The work is most often cited by research in Cell Biology (369 citations), Polymers and Plastics (310 citations), Biomaterials (286 citations), Electrical and Electronic Engineering (938 citations) and Atomic and Molecular Physics, and Optics (464 citations). Tai‐De Li has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Elisa Riedo, Robert Szoszkiewicz, Daniel A. Fletcher, Uzi Landman, Jianping Gao, Peter Bieling, R. Dyche Mullins, Ashley Kita, Ovijit Chaudhuri and James N. Huang. Their work appears in journals such as Nano Letters, Advanced Materials, Biophysical Journal, Chemistry of Materials and Nature.

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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