Tiejun Wang

2.1k citations
30 papers · 1.8k · h-index 19

Impact in

Papers in

Tiejun Wang

29 papers receiving 1.7k citations

Peers

Tiejun Wang
Comparison fields: 5 of 105
  • Molecular Medicine 182
  • Polymers and Plastics 527
  • Automotive Engineering 354
  • Biomedical Engineering 1.0k
  • Surfaces, Coatings and Films 104
Replace Yiqi Mao with:
Yiqi Mao China
Honggeng Li China
Z. Ding China
Harper Meng United States
Xiangnan He China
Xiaoming Mu China
Kavin Kowsari United States
Annalisa Chiappone Italy
Fenghua Zhang China
Xiao‐Qiao Wang China
Tiejun Wang relative to Yiqi Mao China Yiqi Mao's profile →
Citations per field
00.5×1.5×2×2.5×
Yiqi Mao · 1×
Citations per year

Countries citing papers authored by Tiejun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017371
2 2020177
3 2020162
4 2020128
5 2018102
6 202294
7 201984
8 201880
9 202372
10 201771
11 201962
12 201955
13 201241
14 202235
15 198534
16 201830
17 202124
18 202223
19 201820
20 202116

About Tiejun Wang

Tiejun Wang is a scholar working on Biomedical Engineering, Mechanical Engineering, Molecular Medicine, Polymers and Plastics and Organic Chemistry, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (16 papers), Hydrogels: synthesis, properties, applications (7 papers), Dielectric materials and actuators (6 papers), Advanced Materials and Mechanics (6 papers), Polymer composites and self-healing (5 papers), Advanced Polymer Synthesis and Characterization (3 papers), Ferroelectric and Piezoelectric Materials (3 papers) and Adhesion, Friction, and Surface Interactions (3 papers). The work is most often cited by research in Molecular Medicine (182 citations), Polymers and Plastics (527 citations), Automotive Engineering (354 citations), Biomedical Engineering (1.0k citations) and Surfaces, Coatings and Films (104 citations). Tiejun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tongqing Lu, H. Jerry Qi, Xiao Kuang, Quanyi Mu, Conner K. Dunn, Zhong Zhang, Lei Wang, Feng Duan, Meng Yang and Zhiqiang Chen. Their work appears in journals such as Smart Materials and Structures, Journal of the Mechanics and Physics of Solids, Advanced Functional Materials, Journal of Applied Mechanics and Extreme Mechanics Letters.

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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