Tuo Lin

522 citations
25 papers · 309 · h-index 10

Impact in

Papers in

Tuo Lin

24 papers receiving 286 citations

Peers

Tuo Lin
Comparison fields: 5 of 110
  • Toxicology 12
  • Electrical and Electronic Engineering 137
  • Atomic and Molecular Physics, and Optics 59
  • Biomedical Engineering 72
  • Cognitive Neuroscience 28
Replace Joana S. Paiva with:
Joana S. Paiva Portugal
Charles Saunders United States
I−Ru Chen United States
Rodrigo Avilés‐Espinosa United Kingdom
Scott Roberts Canada
Richard L. Bradshaw United States
Mark Vousden United Kingdom
M. Taki Japan
Misato Nihei Japan
Bahman Tahayori Australia
Tuo Lin relative to Joana S. Paiva Portugal Joana S. Paiva's profile →
Citations per field
00.5×2.6×
Joana S. Paiva · 1×
Citations per year

Countries citing papers authored by Tuo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tuo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002119
2 202135
3 202126
4 201817
5 201217
6 199212
7 202010
8 20239
9 19619
10 19889
11 20218
12 20217
13 20177
14 20234
15 20194
16 19863
17 20203
18 20232
19 19882
20 20231

About Tuo Lin

Tuo Lin is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Statistics and Probability, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 25 papers that have together received 309 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Photonic and Optical Devices (4 papers), Statistical Methods and Bayesian Inference (3 papers), Semiconductor Quantum Structures and Devices (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Semiconductor materials and devices (2 papers), Silicon Nanostructures and Photoluminescence (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Toxicology (12 citations), Electrical and Electronic Engineering (137 citations), Atomic and Molecular Physics, and Optics (59 citations), Biomedical Engineering (72 citations) and Cognitive Neuroscience (28 citations). Tuo Lin has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Xin Tu, C. Goldsmith, S. Eshelman, David Denniston, John N. Randall, Tian Chen, Jinyuan Liu, Bokai Wang, J. Proudfoot and Marissa Westerfield. Their work appears in journals such as General Psychiatry, Journal of Pharmaceutical Sciences, Scandinavian Journal of Statistics, Applied Physics Letters and Scientific Reports.

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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