Tao Tu

3.1k total citations · 1 hit paper
130 papers, 2.2k citations indexed

About

Tao Tu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tao Tu has authored 130 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Atomic and Molecular Physics, and Optics, 30 papers in Artificial Intelligence and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tao Tu's work include Quantum and electron transport phenomena (45 papers), Quantum Information and Cryptography (26 papers) and Quantum optics and atomic interactions (14 papers). Tao Tu is often cited by papers focused on Quantum and electron transport phenomena (45 papers), Quantum Information and Cryptography (26 papers) and Quantum optics and atomic interactions (14 papers). Tao Tu collaborates with scholars based in China, United States and Germany. Tao Tu's co-authors include Guo‐Ping Guo, Guang‐Can Guo, Gang Cao, Qiming Liu, Hai-Ou Li, Tian‐Ling Ren, Yi Yang, He Tian, Cheng Zhou and Yancong Qiao and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Tao Tu

118 papers receiving 2.1k citations

Hit Papers

The triglyceride–glucose index and its obesity-related de... 2025 2026 2025 10 20 30 40 50

Peers

Tao Tu
Comparison fields: 5 of 136
  • Atomic and Molecular Physics, and Optics 697
  • Electrical and Electronic Engineering 473
  • Molecular Biology 449
  • Biomedical Engineering 400
  • Artificial Intelligence 345
Replace Andrei Manolescu with:
Andrei Manolescu Iceland
Zeyang Li China
Samuel Smith United States
Faye Wu United States
Sarah Kim United States
K. Okamoto Japan
Zunyue Zhang China
A. Zaslavsky United States
J. Scott Edgar United States
Andrei Manolescu Iceland View profile →
Citations per field, relative to Tao Tu
Tao Tu · 1×
Citations per year, relative to Tao Tu
Tao Tu · 1×

Countries citing papers authored by Tao Tu

Since Specialization
Citations

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

Fields of papers citing papers by Tao Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Tu. A scholar is included among the top collaborators of Tao Tu 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 Tao Tu. Tao Tu 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 1
3 7
4 2
5
The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with machine learning analysis breakdown →
50
6 0
7 0
8 1
9 2
10 5
11 4
12 4
13 3
14 2
15 4
16 9
17 27
18 29
19 46
20 9

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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