Jinran Yu

2.9k total citations · 2 hit papers
60 papers, 2.5k citations indexed

About

Jinran Yu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Polymers and Plastics. According to data from OpenAlex, Jinran Yu has authored 60 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 31 papers in Biomedical Engineering and 16 papers in Polymers and Plastics. Recurrent topics in Jinran Yu's work include Advanced Sensor and Energy Harvesting Materials (28 papers), Advanced Memory and Neural Computing (16 papers) and Conducting polymers and applications (16 papers). Jinran Yu is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (28 papers), Advanced Memory and Neural Computing (16 papers) and Conducting polymers and applications (16 papers). Jinran Yu collaborates with scholars based in China, United States and Taiwan. Jinran Yu's co-authors include Qijun Sun, Zhong Lin Wang, Guoyun Gao, Xixi Yang, Youhui Chen, Yifei Wang, C. R. Kao, Jing Han, Jia Sun and Yifei Wang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jinran Yu

56 papers receiving 2.4k citations

Hit Papers

Bioinspired mechano-photonic artificial synapse based on ... 2021 2026 2022 2024 2021 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jinran Yu China 25 1.7k 1.2k 773 401 384 60 2.5k
Xixi Yang China 21 1.1k 0.7× 1.1k 0.9× 747 1.0× 315 0.8× 158 0.4× 37 1.9k
Guoyun Gao China 21 1.7k 1.0× 1.1k 1.0× 632 0.8× 359 0.9× 119 0.3× 31 2.5k
Qilin Hua China 27 1.6k 1.0× 2.2k 1.9× 1.0k 1.4× 358 0.9× 261 0.7× 74 3.4k
Xun Han China 31 1.6k 1.0× 2.0k 1.7× 1.2k 1.6× 330 0.8× 345 0.9× 60 3.5k
Jiewei Chen Hong Kong 17 2.3k 1.4× 784 0.7× 631 0.8× 774 1.9× 117 0.3× 27 3.1k
Fuqin Sun China 26 957 0.6× 1.2k 1.0× 448 0.6× 293 0.7× 273 0.7× 56 2.2k
Jae Sang Heo South Korea 21 2.0k 1.2× 1.4k 1.2× 1.1k 1.4× 252 0.6× 106 0.3× 45 3.0k
Jae Hur United States 24 1.8k 1.1× 802 0.7× 572 0.7× 151 0.4× 185 0.5× 98 2.4k
Kyoseung Sim South Korea 24 1.3k 0.8× 2.4k 2.0× 1.2k 1.5× 478 1.2× 690 1.8× 57 3.2k
Shutao Qiao United States 15 825 0.5× 1.6k 1.3× 637 0.8× 208 0.5× 306 0.8× 24 2.3k

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-authorship network of co-authors of Jinran Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinran Yu. A scholar is included among the top collaborators of Jinran Yu 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 Jinran Yu. Jinran Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xu, Nuo, et al.. (2025). Flexible and self-powered paper-based artificial synapse for neuromorphic computing and 3d information transmission. SHILAP Revista de lepidopterología. 4(4). e9120187–e9120187. 1 indexed citations
2.
Yu, Jinran, et al.. (2025). Time-Varying Neural Oscillations Underlying the Foreign-Language Effect on Risk-Taking. Journal of Psycholinguistic Research. 54(4). 50–50.
3.
Hu, Chao, Lijuan Liang, Jinran Yu, et al.. (2025). Neuromorphic Floating-Gate Memory Based on 2D Materials. Cyborg and Bionic Systems. 6. 256–256. 5 indexed citations
4.
Huo, Ziwei, et al.. (2025). Neuromorphic devices assisted by machine learning algorithms. International Journal of Extreme Manufacturing. 7(4). 42007–42007. 13 indexed citations
5.
Huo, Ziwei, Yifei Wang, Hai Yan, et al.. (2025). Neuromorphic tactile-visual perception based on 2D ReS₂/CIPS heterojunction artificial synapse. Nano Energy. 144. 111399–111399.
6.
Yu, Jinran, Yichen Wei, Zhenyu Feng, et al.. (2025). Tribopotential mediated ferroelectric polarization for versatile reconfigurable p–n junction. Chemical Engineering Journal. 521. 166513–166513.
7.
Zhou, Hongyu, Dongying Wang, Yang Yu, et al.. (2025). Multi-photon neuron embedded bionic skin for high-precision complex texture and object reconstruction perception research. Opto-Electronic Advances. 8(2). 240152–240152. 16 indexed citations
8.
Wei, Yichen, Jinran Yu, Yonghai Li, et al.. (2024). Mechano-driven logic-in-memory with neuromorphic triboelectric charge-trapping transistor. Nano Energy. 126. 109622–109622. 19 indexed citations
9.
Wang, Yifei, Xiangde Lin, Guoyun Gao, et al.. (2024). Tribotronic Vertical Field‐Effect Transistor Based on van der Waals Heterostructures. Advanced Functional Materials. 34(19). 20 indexed citations
10.
Gong, Jie, Yichen Wei, Yifei Wang, et al.. (2024). Brain‐inspired Multimodal Synaptic Memory via Mechano‐photonic Plasticized Asymmetric Ferroelectric Heterostructure. Advanced Functional Materials. 34(48). 17 indexed citations
11.
Yu, Jinran, Yichen Wei, Zhenyu Feng, et al.. (2023). Triboelectric-potential configurable MoTe2 homojunction for photovoltaic device and logic circuits. Nano Energy. 114. 108632–108632. 21 indexed citations
12.
Li, Yonghai, Jinran Yu, Yichen Wei, et al.. (2023). Ambipolar tribotronic transistor of MoTe2. Nano Research. 16(9). 11907–11913. 10 indexed citations
13.
Feng, Zhenyu, Jinran Yu, Yichen Wei, et al.. (2023). Tribo‐ferro‐optoelectronic neuromorphic transistor of α‐In2Se3. SHILAP Revista de lepidopterología. 1(2). 24 indexed citations
14.
Li, Yonghai, Jinran Yu, Yichen Wei, et al.. (2023). Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG. Sensors. 23(3). 1329–1329. 63 indexed citations
15.
Yu, Jinran, Shanshan Qin, Huai Zhang, et al.. (2021). Fiber-Shaped Triboiontronic Electrochemical Transistor. Research. 2021. 9840918–9840918. 25 indexed citations
16.
Zhao, Jing, Wei Zheng, Jinran Yu, et al.. (2021). Skin‐Inspired High‐Performance Active‐Matrix Circuitry for Multimodal User‐Interaction. Advanced Functional Materials. 31(38). 22 indexed citations
17.
Hua, Qilin, Guoyun Gao, Chunsheng Jiang, et al.. (2020). Atomic threshold-switching enabled MoS2 transistors towards ultralow-power electronics. Nature Communications. 11(1). 6207–6207. 90 indexed citations
18.
Xu, Shuya, Zhihong Liu, Huai Zhang, & Jinran Yu. (2019). Preparation and Properties of Piezotronics Enhanced Plasmonic Photocatalytic Material by Ag/BaTiO3. Acta Chimica Sinica. 77(5). 427–427. 5 indexed citations
19.
Gao, Guoyun, Jinran Yu, Xixi Yang, et al.. (2018). Triboiontronic Transistor of MoS2. Advanced Materials. 31(7). e1806905–e1806905. 110 indexed citations
20.
Yang, Tsung‐Lin, et al.. (2013). Gold and palladium embrittlement issues in three-dimensional integrated circuit interconnections. Materials Letters. 110. 13–15. 15 indexed citations

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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