Jie Jin

850 total citations · 1 hit paper
15 papers, 718 citations indexed

About

Jie Jin is a scholar working on Automotive Engineering, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Jie Jin has authored 15 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 5 papers in Human-Computer Interaction and 5 papers in Biomedical Engineering. Recurrent topics in Jie Jin's work include Additive Manufacturing and 3D Printing Technologies (8 papers), Interactive and Immersive Displays (5 papers) and Innovations in Concrete and Construction Materials (3 papers). Jie Jin is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (8 papers), Interactive and Immersive Displays (5 papers) and Innovations in Concrete and Construction Materials (3 papers). Jie Jin collaborates with scholars based in United States and China. Jie Jin's co-authors include Yong Chen, Xiangjia Li, Yang Yang, Qifa Zhou, Ming Chu, Haofan Sun, Kunhao Yu, Qiming Wang, Huachao Mao and Gengxi Lu and has published in prestigious journals such as Nature Communications, Nano Letters and Applied Physics Letters.

In The Last Decade

Jie Jin

15 papers receiving 704 citations

Hit Papers

Electrically assisted 3D printing of nacre-inspired struc... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Jie Jin
Comparison fields: 5 of 71
  • Biomedical Engineering 434
  • Automotive Engineering 301
  • Mechanical Engineering 209
  • Materials Chemistry 148
  • Biomaterials 90
Replace Zeyu Chen with:
Zeyu Chen China
Nicholas Rodriguez United States
Stefan Hengsbach Germany
Bingcong Jian China
Xue Wan China
Desheng Yao United States
Maruf Md Ikram Bangladesh
Sampada Bodkhe Canada
Yunhu He China
Wilhelm Woigk Switzerland
Zeyu Chen China View profile →
Citations per field, relative to Jie Jin
Jie Jin · 1×
Citations per year, relative to Jie Jin
Jie Jin · 1×

Countries citing papers authored by Jie Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jie Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Jin. A scholar is included among the top collaborators of Jie Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jie Jin. Jie Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 53
3 20
4 31
5 26
6 2
7 2
8 145
9 23
10
Electrically assisted 3D printing of nacre-inspired structures with self-sensing capability breakdown →
264
11 42
12 24
13 55
14 28
15 1

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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