Mingyi Rao

6.7k total citations · 6 hit papers
36 papers, 4.1k citations indexed

About

Mingyi Rao is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Mingyi Rao has authored 36 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 18 papers in Cellular and Molecular Neuroscience and 12 papers in Materials Chemistry. Recurrent topics in Mingyi Rao's work include Advanced Memory and Neural Computing (24 papers), Neuroscience and Neural Engineering (12 papers) and Glass properties and applications (11 papers). Mingyi Rao is often cited by papers focused on Advanced Memory and Neural Computing (24 papers), Neuroscience and Neural Engineering (12 papers) and Glass properties and applications (11 papers). Mingyi Rao collaborates with scholars based in United States, India and China. Mingyi Rao's co-authors include Zhongrui Wang, J. Joshua Yang, Qiangfei Xia, Wenhao Song, Rivu Midya, Can Li, Ye Zhuo, Hao Jiang, Peng Lin and Qing Wu and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mingyi Rao

36 papers receiving 4.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

2019 640 citations Zhongrui Wang, Mingyi Rao et al. Advanced Materials profile →
Anatomy of Ag/Hafnia‐Based Selectors with 10¹⁰ Nonlinearity

2017 324 citations Rivu Midya, Zhongrui Wang et al. Advanced Materials profile →
An artificial spiking afferent nerve based on Mott memristors for neurorobotics

2020 321 citations Xumeng Zhang, Ye Zhuo et al. Nature Communications profile →
Brain-inspired computing with memristors: Challenges in devices, circuits, and systems

2020 289 citations Yang Zhang, Zhongrui Wang et al. Applied Physics Reviews profile →
Reinforcement learning with analogue memristor arrays

2019 289 citations Zhongrui Wang, Can Li et al. Nature Electronics profile →
Three-dimensional memristor circuits as complex neural networks

2020 280 citations Peng Lin, Can Li et al. Nature Electronics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingyi Rao United States	25	3.7k	1.7k	794	705	664	36	4.1k
Chao Du China	28	4.2k 1.1×	1.2k 0.7×	863 1.1×	1.1k 1.5×	1.1k 1.6×	80	4.8k
Xiangshui Miao China	31	2.8k 0.8×	1.1k 0.6×	494 0.6×	307 0.4×	972 1.5×	226	3.4k
Michael N. Kozicki United States	33	4.7k 1.3×	1.6k 0.9×	263 0.3×	105 0.1×	1.3k 1.9×	152	5.0k
Doo Seok Jeong South Korea	34	5.9k 1.6×	1.7k 1.0×	531 0.7×	389 0.6×	2.1k 3.2×	126	6.5k
Stephan Menzel Germany	39	5.6k 1.5×	2.3k 1.4×	627 0.8×	214 0.3×	1.2k 1.8×	230	5.8k
Rakesh Jeyasingh United States	17	2.4k 0.7×	999 0.6×	373 0.5×	308 0.4×	751 1.1×	32	2.6k
L. Perniola France	29	2.9k 0.8×	707 0.4×	266 0.3×	196 0.3×	855 1.3×	138	3.0k
Matthew Marinella United States	31	5.1k 1.4×	1.8k 1.1×	476 0.6×	784 1.1×	586 0.9×	166	5.4k
Ming‐Jinn Tsai Taiwan	37	5.9k 1.6×	1.4k 0.8×	173 0.2×	210 0.3×	1.7k 2.5×	147	6.2k
Alexey Mikhaylov Russia	21	1.6k 0.4×	729 0.4×	511 0.6×	152 0.2×	503 0.8×	165	2.2k

Countries citing papers authored by Mingyi Rao

Since Specialization

Citations

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

Fields of papers citing papers by Mingyi Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyi Rao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

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 →

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 →

Wang, Tianyu, Jialin Meng, Mingyi Rao, et al.. (2020). Three-Dimensional Nanoscale Flexible Memristor Networks with Ultralow Power for Information Transmission and Processing Application. Nano Letters. 20(6). 4111–4120. 177 indexed citations

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 →

Rao, Mingyi, Zhongrui Wang, Can Li, et al.. (2019). Learning with Resistive Switching Neural Networks. 35.4.1–35.4.4. 4 indexed citations

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

Wang, Zhongrui, Can Li, Peng Lin, et al.. (2019). In situ training of feed-forward and recurrent convolutional memristor networks. Nature Machine Intelligence. 1(9). 434–442. 239 indexed citations

Wang, Zhongrui, Can Li, Wenhao Song, et al.. (2019). Reinforcement learning with analogue memristor arrays. Nature Electronics. 2(3). 115–124. 289 indexed citations breakdown →

10.

Rao, Mingyi, et al.. (2018). Influence of some sesquioxides on up conversion in Ho3+−Er3+ co-doped PbO−SiO2 glass system. Materials Today Proceedings. 5(13). 26207–26216. 3 indexed citations

11.

Jiang, Hao, Daniel Belkin, Sergey Savel’ev, et al.. (2017). A novel true random number generator based on a stochastic diffusive memristor. Nature Communications. 8(1). 882–882. 339 indexed citations

12.

Midya, Rivu, Zhongrui Wang, Jiaming Zhang, et al.. (2017). Anatomy of Ag/Hafnia‐Based Selectors with 10¹⁰ Nonlinearity. Advanced Materials. 29(12). 324 indexed citations breakdown →

13.

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

14.

Lian, Xiaojuan, Miao Wang, Mingyi Rao, et al.. (2017). Characteristics and transport mechanisms of triple switching regimes of TaOx memristor. Applied Physics Letters. 110(17). 35 indexed citations

15.

Sanyal, Bhaskar, Mingyi Rao, V. Ravi Kumar, et al.. (2015). γ-Ray induced thermoluminescence characteristics of the PbO–Al2O3–SiO2:Pr3+glass system. Journal of Luminescence. 161. 417–421. 17 indexed citations

16.

Rao, Mingyi, V. Sudarsan, Ch. Srinivasa Rao, et al.. (2014). Influence of Al3+ ions on self up-conversion in Ho3+ doped lead silicate glasses. Optical Materials. 36(7). 1189–1196. 36 indexed citations

17.

Rao, Mingyi, V. Sudarsan, M.G. Brik, et al.. (2013). De-quenching influence of aluminum ions on Y/B ratio of Dy3+ ions in lead silicate glass matrix. Journal of Alloys and Compounds. 575. 375–381. 54 indexed citations

18.

Sudarsan, V., M.G. Brik, Mingyi Rao, et al.. (2012). Influence of Al declustering on the photoluminescent properties of Pr3+ ions in PbO–SiO2 glasses. Journal of Non-Crystalline Solids. 362. 201–206. 31 indexed citations

19.

Reddy, M. Srinivasa, et al.. (2011). The structural influence of aluminium ions on emission characteristics of Sm3+ ions in lead aluminium silicate glass system. Materials Research Bulletin. 47(2). 267–273. 32 indexed citations

20.

Rao, Mingyi, Ch. Srinivasa Rao, B.V. Raghavaiah, et al.. (2011). The role of ligand coordination on the spectral features of Yb3+ ions in lead aluminum silicate glasses. Journal of Molecular Structure. 1007. 185–190. 37 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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