Huanhuan Wei

2.7k total citations · 1 hit paper
62 papers, 2.4k citations indexed

About

Huanhuan Wei is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Polymers and Plastics. According to data from OpenAlex, Huanhuan Wei has authored 62 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 30 papers in Cellular and Molecular Neuroscience and 23 papers in Polymers and Plastics. Recurrent topics in Huanhuan Wei's work include Advanced Memory and Neural Computing (49 papers), Neuroscience and Neural Engineering (24 papers) and Conducting polymers and applications (21 papers). Huanhuan Wei is often cited by papers focused on Advanced Memory and Neural Computing (49 papers), Neuroscience and Neural Engineering (24 papers) and Conducting polymers and applications (21 papers). Huanhuan Wei collaborates with scholars based in China, United States and Hong Kong. Huanhuan Wei's co-authors include Wentao Xu, Jiangdong Gong, Hong Han, Haiyang Yu, Yao Ni, Mingxue Ma, Zhipeng Xu, Lin Sun, Na Wu and Lizhi Zhang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Huanhuan Wei

59 papers receiving 2.4k citations

Hit Papers

Recent Progress in Three‐... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huanhuan Wei China 25 2.0k 892 646 391 353 62 2.4k
Hongwei Tan China 23 1.6k 0.8× 684 0.8× 507 0.8× 327 0.8× 608 1.7× 48 2.3k
Yawar Abbas United Arab Emirates 24 1.5k 0.7× 578 0.6× 428 0.7× 306 0.8× 387 1.1× 71 1.8k
Tao Guo China 29 1.5k 0.7× 577 0.6× 404 0.6× 224 0.6× 743 2.1× 100 2.8k
Haiyang Xu China 33 2.6k 1.3× 814 0.9× 764 1.2× 474 1.2× 1.3k 3.7× 106 3.5k
Chun Zhao China 31 2.1k 1.0× 497 0.6× 835 1.3× 808 2.1× 769 2.2× 149 2.9k
Jie Su China 31 1.3k 0.6× 252 0.3× 485 0.8× 793 2.0× 855 2.4× 101 2.5k
Yao Ni China 23 1.5k 0.7× 684 0.8× 482 0.7× 455 1.2× 339 1.0× 80 1.9k
Chuan Qian China 23 1.7k 0.9× 712 0.8× 613 0.9× 482 1.2× 550 1.6× 49 2.1k
Jiaming Zhang China 22 1.5k 0.8× 292 0.3× 241 0.4× 440 1.1× 311 0.9× 70 2.0k

Countries citing papers authored by Huanhuan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Huanhuan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huanhuan Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Huanhuan Wei. A scholar is included among the top collaborators of Huanhuan Wei 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 Huanhuan Wei. Huanhuan Wei 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.
Ni, Yao, Jiawei Yang, Kexuan Liao, et al.. (2025). Sodium dopant in pectin mediates ionic-electronic coupling on Na0.67Mg0.28Mn0.72O2 for electrolyte-type artificial synapse with tunable plasticity. Applied Physics Letters. 126(23). 1 indexed citations
2.
3.
Yang, Jiawei, Huanhuan Wei, Bo He, et al.. (2025). Multitask Learning and Photonic Neuromorphic Computing Driven by Highly Aligned IPZO Nanofiber-Based Transistors. ACS Applied Electronic Materials. 7(15). 7184–7194.
5.
Gong, Jiangdong, Jiaqi Liu, Chengpeng Jiang, et al.. (2024). An n-type organic synaptic transistor with dopant-sensitive plasticity enables sensory-adaptive robotics. Nano Energy. 123. 109424–109424. 12 indexed citations
6.
Su, Wentao, Gang He, Huanhuan Wei, et al.. (2024). Photoelectric Dual-Mode Synergistically Stimulated Biometric Dielectric-Based IGZO Synaptic Transistors. IEEE Transactions on Electron Devices. 71(12). 7543–7550. 3 indexed citations
7.
He, Gang, et al.. (2024). High-Performance Heterojunction Nanofibers Synaptic Transistors for Sensory Integration in Bionic Systems. IEEE Transactions on Electron Devices. 71(12). 7536–7542. 2 indexed citations
8.
Wei, Huanhuan, Yao Ge, Yao Ni, et al.. (2023). Flexible Electro‐Optical Perovskite/Electrolyte Synaptic Transistor to Emulate Photoelectric‐Synergistic Neural Learning Rules and Reflex‐Arc Behavior. Advanced Functional Materials. 33(46). 27 indexed citations
9.
Xu, Wenlong, Wenlong Xu, Yao Ni, et al.. (2022). Stretchable Neuromorphic Transistor That Combines Multisensing and Information Processing for Epidermal Gesture Recognition. ACS Nano. 16(2). 2282–2291. 110 indexed citations
10.
Liu, Jiaqi, Jiangdong Gong, Huanhuan Wei, et al.. (2022). A bioinspired flexible neuromuscular system based thermal-annealing-free perovskite with passivation. Nature Communications. 13(1). 7427–7427. 88 indexed citations
11.
Jiang, Chengpeng, Jiaqi Liu, Yang Lu, et al.. (2022). A Flexible Artificial Sensory Nerve Enabled by Nanoparticle‐Assembled Synaptic Devices for Neuromorphic Tactile Recognition (Adv. Sci. 24/2022). Advanced Science. 9(24). 2 indexed citations
12.
Ni, Yao, Haotuo Liu, Lu Liu, et al.. (2021). Mimicking ion-balance-dependent synaptic plasticity in body fluid for adaptive environment-responsive artificial neuromuscular reflexes. Materials Today Nano. 17. 100167–100167. 11 indexed citations
13.
Ni, Yao, Shuo Zhang, Lin Sun, et al.. (2021). A low-dimensional hybrid p-i-n heterojunction neuromorphic transistor with ultra-high UV sensitivity and immediate switchable plasticity. Applied Materials Today. 25. 101223–101223. 40 indexed citations
14.
Wei, Huanhuan, Rongchao Shi, Lin Sun, et al.. (2021). Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics. Nature Communications. 12(1). 1068–1068. 166 indexed citations
15.
Han, Hong, Feng Ge, Mingxue Ma, et al.. (2020). Mixed receptors of AMPA and NMDA emulated using a ‘Polka Dot’-structured two-dimensional conjugated polymer-based artificial synapse. Nanoscale Horizons. 5(9). 1324–1331. 18 indexed citations
16.
Gong, Jiangdong, Haiyang Yu, Huanhuan Wei, et al.. (2020). An air-stable two-dimensional perovskite artificial synapse. Semiconductor Science and Technology. 35(10). 104001–104001. 12 indexed citations
17.
Guo, Kexin, Haiyang Yu, Hong Han, et al.. (2020). Artificial synapse based on MoO<sub>3</sub> nanosheets prepared by hydrothermal synthesis. Acta Physica Sinica. 69(23). 238501–238501. 1 indexed citations
18.
Yu, Haiyang, Yihang Chen, Huanhuan Wei, Jiangdong Gong, & Wentao Xu. (2019). High- k polymeric gate insulators for organic field-effect transistors. Nanotechnology. 30(20). 202002–202002. 22 indexed citations
19.
Chen, Yihang, Haiyang Yu, Jiangdong Gong, et al.. (2018). Artificial synapses based on nanomaterials. Nanotechnology. 30(1). 12001–12001. 61 indexed citations
20.
Wei, Huanhuan, Kexuan Liao, Penghui Shi, et al.. (2018). Simple method to construct three-dimensional porous carbon for electrochemical energy storage. Nanoscale. 10(33). 15842–15853. 11 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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