Jinran Yu

3.0k citations
60 papers · 2.6k · 1 hit paper · h-index 26

Impact in

Papers in

Jinran Yu

57 papers receiving 2.5k citations

Jinran Yu's Hit Papers

Bioinspired mechano-photonic artificial synapse based on graphene/MoS 2 heterostructure 2021 · 318 citations
3180+1+3Years since publication100200300

Peers

Jinran Yu
Comparison fields: 5 of 80
  • Polymers and Plastics 781
  • Electrical and Electronic Engineering 1.7k
  • Biomedical Engineering 1.2k
  • Cellular and Molecular Neuroscience 403
  • Cognitive Neuroscience 372
Replace Xixi Yang with:
Xixi Yang China
Jun‐Kyul Song South Korea
Shutao Qiao United States
Kyoseung Sim South Korea
Guoyun Gao China
Fuqin Sun China
Kai Qian China
Zhi Jiang China
Reza Rastak United States
Takeyoshi Tokuhara Japan
Jinran Yu relative to Xixi Yang China Xixi Yang's profile →
Citations per field
00.5×10×15×20.5×
Xixi Yang · 1×
Citations per year

Countries citing papers authored by Jinran Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jinran Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bioinspired mechano-photonic artificial synapse based on graphene/MoS 2 heterostructure
Hit paper breakdown →
2021318
2 2021210
3 2019205
4 2020151
5 2022145
6 2018112
7 2023106
8 202092
9 201283
10 201978
11 201173
12 202368
13 202267
14 202066
15 202061
16 202352
17 202148
18 201444
19 201444
20 200143

About Jinran Yu

Jinran Yu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Mechanical Engineering and Materials Chemistry, having authored 60 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (28 papers), Conducting polymers and applications (16 papers), Advanced Memory and Neural Computing (16 papers), Electronic Packaging and Soldering Technologies (16 papers), 3D IC and TSV technologies (13 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Advanced Welding Techniques Analysis (6 papers) and 2D Materials and Applications (5 papers). The work is most often cited by research in Polymers and Plastics (781 citations), Electrical and Electronic Engineering (1.7k citations), Biomedical Engineering (1.2k citations), Cellular and Molecular Neuroscience (403 citations) and Cognitive Neuroscience (372 citations). Jinran Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qijun Sun, Zhong Lin Wang, Guoyun Gao, Xixi Yang, Youhui Chen, Yifei Wang, C. R. Kao, Jing Han, Yifei Wang and Jia Sun. Their work appears in journals such as Advanced Functional Materials, Nano Energy, ACS Nano, Journal of Alloys and Compounds and Energy & Environmental Science.

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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