Tianyi Li

450 citations
21 papers · 355 · h-index 11

Impact in

Papers in

    • Metallurgical Processes and Thermodynamics 4
    • Mineral Processing and Grinding 4
    • Microstructure and Mechanical Properties of Steels 3
    • Advanced machining processes and optimization 2
    • Granular flow and fluidized beds 4
    • Fluid Dynamics and Heat Transfer 3

Tianyi Li

19 papers receiving 349 citations

Peers

Tianyi Li
Comparison fields: 5 of 76
  • Pharmaceutical Science 71
  • Neurology 46
  • Developmental Neuroscience 20
  • Mechanical Engineering 140
  • Computational Mechanics 71
Replace Jun Liao with:
Jun Liao China
Yu Ping Li China
P. Neugebauer Germany
Tiantian Yin China
Mansoor A. Ansari United States
Qing Yu China
Xin Niu China
Akanksha Aggarwal India
Yingze Liu China
Tianyi Li relative to Jun Liao China Jun Liao's profile →
Citations per field
00.5×10×15×20×23.7×
Jun Liao · 1×
Citations per year

Countries citing papers authored by Tianyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010105
2 201669
3 201929
4 201825
5 201323
6 202119
7 202316
8 201714
9 201914
10 202312
11 202110
12 20224
13 20233
14 20223
15 20223
16 20233
17 20131
18 20221
19 20221
20 20240

About Tianyi Li

Tianyi Li is a scholar working on Mechanical Engineering, Computational Mechanics, Pharmaceutical Science, Metals and Alloys and Biomedical Engineering, having authored 21 papers that have together received 355 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (4 papers), Metallurgical Processes and Thermodynamics (4 papers), Granular flow and fluidized beds (4 papers), Mineral Processing and Grinding (4 papers), Fluid Dynamics and Heat Transfer (3 papers), Hydrogen embrittlement and corrosion behaviors in metals (3 papers), Microstructure and Mechanical Properties of Steels (3 papers) and Advanced machining processes and optimization (2 papers). The work is most often cited by research in Pharmaceutical Science (71 citations), Neurology (46 citations), Developmental Neuroscience (20 citations), Mechanical Engineering (140 citations) and Computational Mechanics (71 citations). Tianyi Li has collaborated with scholars based in China and United States. Frequent co-authors include Fernando J. Muzzio, Benjamin J. Glasser, Yifan Wang, Dongming Sun, Xi Wang, Jianhong Luo, Kai Cao, Yongxiong Chen, Xin Sun and Jianqing Fan. Their work appears in journals such as Journal of Pharmaceutical Innovation, Powder Technology, Chemistry - An Asian Journal, International Journal of Pharmaceutics and Mechanism and Machine Theory.

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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