Peng Huang

4.1k total citations
166 papers, 3.2k citations indexed

About

Peng Huang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Peng Huang has authored 166 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Electrical and Electronic Engineering, 30 papers in Cellular and Molecular Neuroscience and 24 papers in Artificial Intelligence. Recurrent topics in Peng Huang's work include Advanced Memory and Neural Computing (141 papers), Ferroelectric and Negative Capacitance Devices (118 papers) and Semiconductor materials and devices (55 papers). Peng Huang is often cited by papers focused on Advanced Memory and Neural Computing (141 papers), Ferroelectric and Negative Capacitance Devices (118 papers) and Semiconductor materials and devices (55 papers). Peng Huang collaborates with scholars based in China, United States and Singapore. Peng Huang's co-authors include Jinfeng Kang, Bin Gao, Xiaoyan Liu, Lifeng Liu, Zheng Zhou, Haitong Li, Runze Han, H.‐S. Philip Wong, Yudi Zhao and Shimeng Yu and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Peng Huang

158 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Huang China 29 3.1k 918 415 363 329 166 3.2k
Noraica Dávila United States 17 2.8k 0.9× 1.1k 1.2× 314 0.8× 266 0.7× 509 1.5× 23 2.9k
H.-S. Philip Wong United States 7 3.1k 1.0× 1.0k 1.1× 551 1.3× 577 1.6× 288 0.9× 11 3.3k
Alessandro Calderoni Italy 23 1.7k 0.6× 587 0.6× 223 0.5× 292 0.8× 181 0.6× 51 1.8k
Xiaoyan Liu China 25 2.1k 0.7× 612 0.7× 243 0.6× 337 0.9× 210 0.6× 144 2.2k
Yu-Sheng Chen Taiwan 17 2.9k 0.9× 802 0.9× 508 1.2× 515 1.4× 160 0.5× 47 3.0k
Byoungil Lee United States 12 3.6k 1.2× 1.2k 1.3× 709 1.7× 758 2.1× 299 0.9× 19 3.7k
Simone Balatti Italy 26 2.7k 0.9× 978 1.1× 451 1.1× 408 1.1× 152 0.5× 44 2.7k
Brian D. Hoskins United States 16 3.4k 1.1× 1.6k 1.8× 484 1.2× 348 1.0× 538 1.6× 41 3.5k
Pang-Shiu Chen Taiwan 17 3.1k 1.0× 838 0.9× 581 1.4× 571 1.6× 153 0.5× 36 3.1k

Countries citing papers authored by Peng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Peng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Huang. A scholar is included among the top collaborators of Peng Huang 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 Peng Huang. Peng Huang 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.
Chen, Yiyang, Zheng Zhou, Yanzhi Wang, et al.. (2025). CIMUS: 3D-Stacked Computing-in-Memory Under Image Sensor Architecture for Efficient Machine Vision. IEEE Transactions on Computers. 74(7). 2321–2333.
2.
Yu, Chenxi, Zheng Zhou, Peng Huang, et al.. (2025). First Demonstration of Double-Gated Ferroelectric Field-Effect-Transistor With TiO₂ Channel for Multi-Level Storage. IEEE Electron Device Letters. 46(8). 1329–1332.
3.
Zhou, Zheng, et al.. (2024). Gate-controlled gain tuning of fully depleted silicon-on-insulator-based 1 T pixel for in-sensor white balance. Japanese Journal of Applied Physics. 63(2). 02SP93–02SP93. 1 indexed citations
4.
Dong, Junchen, Dedong Han, Zheng Zhou, et al.. (2024). Thin-film transistor for temporal self-adaptive reservoir computing with closed-loop architecture. Science Advances. 10(7). eadl1299–eadl1299. 37 indexed citations
5.
Zhou, Zheng, Yiyang Chen, Lifeng Liu, et al.. (2024). Specific ADC of NVM-Based Computation-in-Memory for Deep Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 71(12). 5387–5399. 1 indexed citations
6.
Zhou, Zheng, Yiyang Chen, Peng Huang, et al.. (2024). CoMN: Algorithm-Hardware Co-Design Platform for Nonvolatile Memory-Based Convolutional Neural Network Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(7). 2043–2056. 8 indexed citations
7.
Li, Jiaqi, Zheng Zhou, Ruiqi Chen, et al.. (2023). Gate-controlled Gain Tuning of FDSOI-based 1T Pixel for In-Sensor White Balance. 2 indexed citations
8.
Huang, Peng, Ruiyi Li, Yizhou Zhang, et al.. (2023). Flash-based content addressable memory with L2 distance for memory-augmented neural network. iScience. 26(12). 108371–108371. 2 indexed citations
9.
Zhou, Zheng, et al.. (2023). A compact model for the well-depleted 1-T pixel sensor based on silicon-on-insulator technology. Japanese Journal of Applied Physics. 62(7). 71005–71005. 2 indexed citations
10.
Huang, Peng, et al.. (2022). Understanding of the Volatile and Nonvolatile Switching in Ag-Based Memristors. IEEE Transactions on Electron Devices. 69(3). 1034–1040. 26 indexed citations
11.
Han, Runze, Peng Huang, Hong Hu, et al.. (2022). Floating Gate Transistor‐Based Accurate Digital In‐Memory Computing for Deep Neural Networks. SHILAP Revista de lepidopterología. 4(12). 4 indexed citations
12.
Feng, Yulin, Peng Huang, Yudi Zhao, et al.. (2021). Improvement of State Stability in Multi-Level Resistive Random-Access Memory (RRAM) Array for Neuromorphic Computing. IEEE Electron Device Letters. 42(8). 1168–1171. 33 indexed citations
13.
Huang, Peng, et al.. (2020). Oxide-based filamentary RRAM for deep learning. Journal of Physics D Applied Physics. 54(8). 83002–83002. 28 indexed citations
14.
Huang, Peng, Yudi Zhao, Yulin Feng, et al.. (2020). A Seamless, Reconfigurable, and Highly Parallel In-Memory Stochastic Computing Approach With Resistive Random Access Memory Array. IEEE Transactions on Electron Devices. 68(1). 103–108. 10 indexed citations
15.
Huang, Peng, et al.. (2020). Efficient and Robust Spike-Driven Deep Convolutional Neural Networks Based on NOR Flash Computing Array. IEEE Transactions on Electron Devices. 67(6). 2329–2335. 26 indexed citations
16.
Cai, Linlin, Wangyong Chen, Yudi Zhao, et al.. (2019). A Physics-Based Analytic Model of Analog Switching Resistive Random Access Memory. IEEE Electron Device Letters. 41(2). 236–239. 7 indexed citations
17.
Huang, Peng, Runze Han, Zheng Zhou, et al.. (2019). Stateful Logic Operations in One-Transistor-One- Resistor Resistive Random Access Memory Array. IEEE Electron Device Letters. 40(9). 1538–1541. 44 indexed citations
18.
Zhao, Yudi, Peng Huang, Zheng Zhou, et al.. (2019). A Physics-Based Compact Model for CBRAM Retention Behaviors Based on Atom Transport Dynamics and Percolation Theory. IEEE Electron Device Letters. 40(4). 647–650. 17 indexed citations
19.
Huang, Peng, Zheng Zhou, Runze Han, et al.. (2018). Design and Hardware Implementation of Neuromorphic Systems With RRAM Synapses and Threshold-Controlled Neurons for Pattern Recognition. IEEE Transactions on Circuits and Systems I Regular Papers. 65(9). 2726–2738. 50 indexed citations
20.
Han, Runze, Peng Huang, Zheng Zhou, et al.. (2018). A novel ternary content addressable memory design based on resistive random access memory with high intensity and low search energy. Japanese Journal of Applied Physics. 57(4S). 04FE02–04FE02. 8 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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