Ye Zhuo

5.3k total citations · 4 hit papers
26 papers, 2.8k citations indexed

About

Ye Zhuo is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ye Zhuo has authored 26 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Ye Zhuo's work include Advanced Memory and Neural Computing (18 papers), Neuroscience and Neural Engineering (7 papers) and Neural dynamics and brain function (6 papers). Ye Zhuo is often cited by papers focused on Advanced Memory and Neural Computing (18 papers), Neuroscience and Neural Engineering (7 papers) and Neural dynamics and brain function (6 papers). Ye Zhuo collaborates with scholars based in United States, China and Taiwan. Ye Zhuo's co-authors include J. Joshua Yang, Zhongrui Wang, Wenhao Song, Mingyi Rao, Qiangfei Xia, Rivu Midya, Navnidhi K. Upadhyay, Xumeng Zhang, Peng Lin and Hao Jiang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Ye Zhuo

22 papers receiving 2.7k citations

Hit Papers

Robust memristors based o... 2018 2026 2020 2023 2018 2020 2020 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Zhuo United States 15 2.6k 1.1k 555 514 465 26 2.8k
Jingyu Mao China 25 2.5k 1.0× 973 0.9× 620 1.1× 255 0.5× 687 1.5× 49 2.7k
Jia‐Qin Yang China 27 2.5k 1.0× 1.1k 1.1× 462 0.8× 356 0.7× 687 1.5× 41 2.8k
Yijun Li China 17 1.1k 0.4× 374 0.4× 372 0.7× 207 0.4× 198 0.4× 39 1.6k
Zhanpeng Wang China 17 2.0k 0.8× 788 0.7× 438 0.8× 231 0.4× 614 1.3× 58 2.2k
Julien Borghetti United States 13 3.1k 1.2× 1.7k 1.6× 390 0.7× 495 1.0× 462 1.0× 16 3.2k
Rajanish K. Kamat India 27 1.4k 0.6× 486 0.5× 459 0.8× 111 0.2× 468 1.0× 117 1.9k
Suhas Kumar United States 25 2.7k 1.1× 887 0.8× 367 0.7× 708 1.4× 681 1.5× 62 3.0k
Heming Huang France 24 2.3k 0.9× 678 0.6× 459 0.8× 268 0.5× 329 0.7× 82 2.6k

Countries citing papers authored by Ye Zhuo

Since Specialization
Citations

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

Fields of papers citing papers by Ye Zhuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Zhuo

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Zhuo. A scholar is included among the top collaborators of Ye Zhuo 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 Ye Zhuo. Ye Zhuo 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.
Yang, Kai, et al.. (2025). A green closed-loop recycling process for spent LiNi0.5Co0.2Mn0.3O2 cathode materials: Reductive leaching mediated by SnCl2 reductant. Separation and Purification Technology. 379. 135029–135029.
2.
Kang, Minsoo, Ye Zhuo, Bicheng Meng, et al.. (2025). Fe2+/Fe3+-Mediated synergistic electrochemical leaching of spent lithium-ion batteries under low voltage: a green chemistry approach. Green Chemistry. 27(19). 5531–5545. 4 indexed citations
3.
Zhang, Xuehua, Yun Zhong, Zhenyu Liu, & Ye Zhuo. (2025). Does dialect similarity affect customer stability: Evidence from corporate trust and friction. International Review of Financial Analysis. 105. 104431–104431.
4.
Wang, Tong, Ruoyu Zhao, Yichun Xu, et al.. (2024). A Faithful and Compact Diffusive Memristor Model. 1(2). 141–148. 1 indexed citations
5.
Asapu, Shiva, Ye Zhuo, Taehwan Moon, et al.. (2022). Large remnant polarization and great reliability characteristics in W/HZO/W ferroelectric capacitors. Frontiers in Materials. 9. 11 indexed citations
6.
Zhuo, Ye, Rivu Midya, Wenhao Song, et al.. (2021). A Dynamical Compact Model of Diffusive and Drift Memristors for Neuromorphic Computing. Advanced Electronic Materials. 8(8). 31 indexed citations
7.
Zhang, Xumeng, Ye Zhuo, Qing Luo, et al.. (2020). An artificial spiking afferent nerve based on Mott memristors for neurorobotics. Nature Communications. 11(1). 51–51. 321 indexed citations breakdown →
8.
Zhang, Yang, Zhongrui Wang, Jiadi Zhu, et al.. (2020). Brain-inspired computing with memristors: Challenges in devices, circuits, and systems. Applied Physics Reviews. 7(1). 289 indexed citations breakdown →
9.
Fu, Tianda, Xiaomeng Liu, Hongyan Gao, et al.. (2020). Bioinspired bio-voltage memristors. Nature Communications. 11(1). 1861–1861. 200 indexed citations
10.
Lin, Peng, Can Li, Zhongrui Wang, et al.. (2020). Three-dimensional memristor circuits as complex neural networks. Nature Electronics. 3(4). 225–232. 280 indexed citations breakdown →
11.
Zhang, Xumeng, Zhongrui Wang, Wenhao Song, et al.. (2019). Experimental Demonstration of Conversion-Based SNNs with 1T1R Mott Neurons for Neuromorphic Inference. 6.7.1–6.7.4. 30 indexed citations
12.
Midya, Rivu, Zhongrui Wang, Shiva Asapu, et al.. (2019). Artificial Neural Network (ANN) to Spiking Neural Network (SNN) Converters Based on Diffusive Memristors. Advanced Electronic Materials. 5(9). 106 indexed citations
13.
Wang, Miao, Songhua Cai, Chen Pan, et al.. (2018). Robust memristors based on layered two-dimensional materials. Nature Electronics. 1(2). 130–136. 663 indexed citations breakdown →
14.
Zhang, Renyun, Hao Jiang, Zhongrui Wang, et al.. (2018). Nanoscale diffusive memristor crossbars as physical unclonable functions. Nanoscale. 10(6). 2721–2726. 70 indexed citations
15.
Wang, Zhongrui, Mingyi Rao, Rivu Midya, et al.. (2018). Threshold Switching: Threshold Switching of Ag or Cu in Dielectrics: Materials, Mechanism, and Applications (Adv. Funct. Mater. 6/2018). Advanced Functional Materials. 28(6). 7 indexed citations
16.
Wu, Juanjuan, Ji‐An Pan, Ye Zhuo, Lintao Zeng, & Dongdong Su. (2018). A smart fluorescent probe for discriminative detection of hydrazine and bisulfite from different emission channels. Sensors and Actuators B Chemical. 274. 274–284. 102 indexed citations
17.
Wang, Miao, Songhua Cai, Chen Pan, et al.. (2018). Author Correction: Robust memristors based on layered two-dimensional materials. Nature Electronics. 1(3). 203–203. 9 indexed citations
18.
Wang, Zhongrui, Mingyi Rao, Rivu Midya, et al.. (2017). Threshold Switching of Ag or Cu in Dielectrics: Materials, Mechanism, and Applications. Advanced Functional Materials. 28(6). 315 indexed citations
19.
Zhuo, Ye, et al.. (2015). A simple and sensitive method for determination of Norfloxacin in pharmaceutical preparations. Brazilian Journal of Pharmaceutical Sciences. 51(2). 429–437. 14 indexed citations
20.
Zhuo, Ye, et al.. (1983). Viscosity coefficient with pairing interaction. 3(2). 332–336.

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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