Tie Chen

424 citations
34 papers · 341 · h-index 13

Impact in

  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials
    • Polydiacetylene-based materials and applications
    • Supramolecular Chemistry and Complexes

Papers in

    • Supramolecular Self-Assembly in Materials 9
    • Supramolecular Chemistry and Complexes 5
    • Polydiacetylene-based materials and applications 3

Tie Chen

33 papers receiving 339 citations

Peers

Tie Chen
Comparison fields: 5 of 75
  • Biomaterials 123
  • Organic Chemistry 105
  • Statistics, Probability and Uncertainty 23
  • Safety, Risk, Reliability and Quality 25
  • Materials Chemistry 115
Replace Wenyu Zhang with:
Wenyu Zhang China
Jin Zhao China
Jiaming Cui China
Zheyu Zhang China
Birgit Braun United States
James F. Stevens United States
Cuiru Wang China
Yingfeng Wang China
Donald H. Sebastian United States
Tie Chen relative to Wenyu Zhang China Wenyu Zhang's profile →
Citations per field
00.5×5.2×
Wenyu Zhang · 1×
Citations per year

Countries citing papers authored by Tie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201841
2 201732
3 201822
4 201422
5 202020
6 201420
7 201819
8 201115
9 201415
10 201615
11 201814
12 202112
13 201912
14 201810
15 201910
16 20218
17 20198
18 20147
19 20166
20 20135

About Tie Chen

Tie Chen is a scholar working on Biomaterials, Organic Chemistry, Mechanical Engineering, Materials Chemistry and Biomedical Engineering, having authored 34 papers that have together received 341 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (9 papers), Supramolecular Chemistry and Complexes (5 papers), Luminescence and Fluorescent Materials (5 papers), Reliability and Maintenance Optimization (3 papers), Transportation Planning and Optimization (3 papers), Turbomachinery Performance and Optimization (3 papers), Polydiacetylene-based materials and applications (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Biomaterials (123 citations), Organic Chemistry (105 citations), Statistics, Probability and Uncertainty (23 citations), Safety, Risk, Reliability and Quality (25 citations) and Materials Chemistry (115 citations). Tie Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Long Yi Jin, Songlin Zheng, Shengsheng Yu, Keli Zhong, Xintian Liu, Hoang Pham, Xiaojun Zeng, Yuanyuan Shen, Xin Chen and Yaxin Hu. Their work appears in journals such as Quality and Reliability Engineering International, Soft Matter, Polymer International, Journal of Applied Polymer Science and Nanoscale.

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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