Fei Tian

2.7k citations
113 papers · 2.1k · h-index 24

Impact in

    • Carbon and Quantum Dots Applications
    • Nanocluster Synthesis and Applications
    • Quantum Dots Synthesis And Properties
    • Graphene and Nanomaterials Applications
    • Nanoplatforms for cancer theranostics

Papers in

Fei Tian

103 papers receiving 2.1k citations

Peers

Fei Tian
Comparison fields: 5 of 139
  • Materials Chemistry 975
  • Biomedical Engineering 705
  • Biomaterials 200
  • Mathematical Physics 112
  • Statistical and Nonlinear Physics 152
Replace Emanuela Del Gado with:
Emanuela Del Gado United States
Panagiotis E. Theodorakis Poland
Claude Cohen United States
Jinbo Zhang China
A. Yu. Zubarev Russia
L. R. White Australia
Shubin Wang China
Sachin Shanbhag United States
Kui Chen China
Xian Wang China
Fei Tian relative to Emanuela Del Gado United States Emanuela Del Gado's profile →
Citations per field
00.5×5.9×
Emanuela Del Gado · 1×
Citations per year

Countries citing papers authored by Fei Tian

Since Specialization
Citations

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

Fields of papers citing papers by Fei Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013375
2 2013190
3 2021120
4 202090
5 201588
6 202365
7 201357
8 200855
9 200954
10 201753
11 201450
12 202046
13 200746
14 200241
15 202137
16 201336
17 200834
18 202233
19 200830
20 202227

About Fei Tian

Fei Tian is a scholar working on Materials Chemistry, Biomedical Engineering, Mechanics of Materials, Mechanical Engineering and Mathematical Physics, having authored 113 papers that have together received 2.1k indexed citations. Recurring topics across this work include Laser-Ablation Synthesis of Nanoparticles (14 papers), Cavitation Phenomena in Pumps (12 papers), Carbon and Quantum Dots Applications (9 papers), Nonlinear Waves and Solitons (9 papers), Nanoparticle-Based Drug Delivery (8 papers), Advanced Mathematical Physics Problems (8 papers), Nanocluster Synthesis and Applications (7 papers) and Hydraulic and Pneumatic Systems (7 papers). The work is most often cited by research in Materials Chemistry (975 citations), Biomedical Engineering (705 citations), Biomaterials (200 citations), Mathematical Physics (112 citations) and Statistical and Nonlinear Physics (152 citations). Fei Tian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Min Wu, Julia Xiaojun Zhao, Xu Wu, Jiao Chen, Wenxue Wang, Qiangbin Wang, Guangcun Chen, Ramesh K. Agarwal, Leilei Ji and Wei Li. Their work appears in journals such as Journal of Alloys and Compounds, Water, Materials Letters, International Journal of Biological Macromolecules and Communications on Pure and Applied Mathematics.

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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