Tianyi Li

461 citations
24 papers · 382 · h-index 11

Impact in

Papers in

    • Mineral Processing and Grinding 7
    • Injection Molding Process and Properties 4
    • Metallurgical Processes and Thermodynamics 4
    • Microstructure and Mechanical Properties of Steels 3
    • Granular flow and fluidized beds 4
    • Fluid Dynamics and Heat Transfer 3

Tianyi Li

23 papers receiving 374 citations

Peers

Tianyi Li
Comparison fields: 5 of 77
  • Pharmaceutical Science 71
  • Neurology 43
  • Developmental Neuroscience 18
  • Mechanical Engineering 154
  • Analytical Chemistry 35
Replace Vineeth Chandran Suja with:
Vineeth Chandran Suja United States
Shintaro Kimura Japan
P. Neugebauer Germany
Brian Cheng China
Yu Ping Li China
Mansoor A. Ansari United States
Attila Balogh Hungary
Akanksha Aggarwal India
Zehui Gu China
Hidekazu Suzuki Japan
Tianyi Li relative to Vineeth Chandran Suja United States Vineeth Chandran Suja's profile →
Citations per field
00.5×5×10×15×
Vineeth Chandran Suja · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010108
2 201673
3 201931
4 201829
5 201323
6 202120
7 202317
8 202315
9 201914
10 201714
11 202111
12 20224
13 20224
14 20233
15 20223
16 20233
17 20222
18 20222
19 20222
20 20241

About Tianyi Li

Tianyi Li is a scholar working on Mechanical Engineering, Computational Mechanics, Pharmaceutical Science, Materials Chemistry and Metals and Alloys, having authored 24 papers that have together received 382 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (7 papers), Drug Solubulity and Delivery Systems (4 papers), Injection Molding Process and Properties (4 papers), Metallurgical Processes and Thermodynamics (4 papers), Granular flow and fluidized beds (4 papers), Microstructure and Mechanical Properties of Steels (3 papers), Fluid Dynamics and Heat Transfer (3 papers) and Hydrogen embrittlement and corrosion behaviors in metals (3 papers). The work is most often cited by research in Pharmaceutical Science (71 citations), Neurology (43 citations), Developmental Neuroscience (18 citations), Mechanical Engineering (154 citations) and Analytical Chemistry (35 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, Yi Ren, Wise Young, Xin Sun, Jianhong Luo, Jianqing Fan, Tianxiang Chen and Xi Wang. Their work appears in journals such as Journal of Pharmaceutical Innovation, Powder Technology, Chemistry - An Asian Journal, International Journal of Pharmaceutics and PLoS ONE.

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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