Tie Chen
Impact in
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Supramolecular Chemistry and Complexes 6
-
- Energy Load and Power Forecasting 8
- Co-authors
- Long Yi Jin (22 shared papers)Bingzhu Yin (23 shared papers)Wenlong Fu (6 shared papers)Huizhen Li (5 shared papers)Zhijun Zhang (5 shared papers)Kai Wang (4 shared papers)Xiaojun Li (5 shared papers)Jiawen Tan (4 shared papers)
- Journals
- Electronics (5 papers)Macromolecular Research (3 papers)Fibers and Polymers (3 papers)Tetrahedron (2 papers)Analytica Chimica Acta (2 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Tie Chen
87 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 143
- Biomaterials 210
- Biochemistry 62
- Organic Chemistry 226
- Energy Engineering and Power Technology 20
- Materials Chemistry 261
Countries citing papers authored by Tie Chen
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
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.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2020 | 58 | |
| 3 | 2015 | 56 | |
| 4 | 2020 | 54 | |
| 5 | 2021 | 54 | |
| 6 | 2019 | 52 | |
| 7 | 2015 | 44 | |
| 8 | 2016 | 40 | |
| 9 | 2014 | 35 | |
| 10 | 2019 | 35 | |
| 11 | 2015 | 30 | |
| 12 | 2018 | 26 | |
| 13 | 2015 | 24 | |
| 14 | 2019 | 22 | |
| 15 | 2014 | 21 | |
| 16 | 2019 | 21 | |
| 17 | 2013 | 21 | |
| 18 | 2024 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2015 | 18 |
About Tie Chen
Tie Chen is a scholar working on Organic Chemistry, Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomaterials, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (17 papers), Luminescence and Fluorescent Materials (11 papers), Organic and Molecular Conductors Research (9 papers), Energy Load and Power Forecasting (8 papers), Magnetism in coordination complexes (7 papers), Supramolecular Chemistry and Complexes (6 papers), Porphyrin and Phthalocyanine Chemistry (6 papers) and Liquid Crystal Research Advancements (6 papers). The work is most often cited by research in Biomaterials (210 citations), Biochemistry (62 citations), Organic Chemistry (226 citations), Energy Engineering and Power Technology (20 citations) and Materials Chemistry (261 citations). Tie Chen has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Long Yi Jin, Bingzhu Yin, Wenlong Fu, Huizhen Li, Zhijun Zhang, Kai Wang, Xiaojun Li, Jiawen Tan, Tianyu Hou and Ping Fang. Their work appears in journals such as Electronics, Macromolecular Research, Fibers and Polymers, Tetrahedron and Analytica Chimica Acta.
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.