Miao Hu

12.5k citations

47 papers · 8.3k indexed · 8 hit papers · h-index 25

Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 21
- Photoreceptor and optogenetics research 4
Electrical and Electronic Engineering top 0.2%
- Advanced Memory and Neural Computing 38
- Ferroelectric and Negative Capacitance Devices 24
- CCD and CMOS Imaging Sensors 11
Cognitive Neuroscience top 1%
- Neural dynamics and brain function 9
Hardware and Architecture top 2%
Artificial Intelligence top 0.5%
Computer Vision and Pattern Recognition
- Advanced Neural Network Applications 4
Industrial and Manufacturing Engineering
- Industrial Vision Systems and Defect Detection 3

Co-authors: John Paul Strachan R. Stanley Williams J. Joshua Yang Qing Wu Ning Ge Qiangfei Xia Hao Jiang Peng Lin
Cited by: Cellular and Molecular Neuroscience Electrical and Electronic Engineering Cognitive Neuroscience
Journals: Advanced Materials (1 paper)Nature Communications (1 paper)Nature Materials (1 paper)
Partner nations: United States China Singapore

In The Last Decade

Miao Hu

47 papers receiving 8.2k citations

Hit Papers

8 papers align trajectories log scale

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.

2019 Nature Electronics
2018 Nature Communications
2018 Advanced Materials
2017 Nature Electronics
2016 Nature Materials
2016 ACM SIGARCH Computer Architecture News
2016 ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars
2016 Dot-product engine for neuromorphic computing

Peers

Countries citing papers authored by Miao Hu

Since Specialization

Citations

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

Fields of papers citing papers by Miao Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Miao Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miao Hu Line = papers co-authored together Miao Hu links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Real-time signal processing enabled by fused networks on a memristor-based system on a chip Science Advances ·Zixu Wang,Zixu Wang,Wenhao Song,Tong Wang,Zihan Wang,Zihan Wang,Yichun Xu,Mingyi Rao,Fuxi Cai,Wenbo Yin,Mike Shuo‐Wei Chen,Ning Ge,Matthew Collins,Kangjun Bai,Sabyasachi Ganguli,Michael R. Page,Qing Wu,L.P.B. Katehi,Qiangfei Xia,Miao Hu,J. Joshua Yang	2025	1
2	Radiofrequency signal processing with a memristive system-on-a-chip Nature Electronics ·Yi Huang,Chaoyi He,Yunzhi Ling,Ning Ge,J. Joshua Yang,Miao Hu,L.P.B. Katehi,Qiangfei Xia	2025	3
3	A deep learning-based algorithm for online detection of small target defects in large-size sawn timber Industrial Crops and Products ·Min Ji,Zhang Wei,Jiakai Han,Miao Hu,Xingliang Diao,Guofu Wang	2024	3
4	A hierarchical deep reinforcement learning model with expert prior knowledge for intelligent penetration testing Computers & Security ·Qianyu Li,Min Zhang,Yi Shen,Ruipeng Wang,Miao Hu,Yang Li,Hao Hao	2023	18
5	A systematic empirical study on word embedding based methods in discovering Chinese black keywords Engineering Applications of Artificial Intelligence ·Chenyang Wang,Yi Shen,Yuwei Li,Min Zhang,Miao Hu,Jinghua Zheng	2023	1
6	Two-stage insulator self-explosion defect detection method based on Mask R-CNN Miao Hu,Xiaoming Ju	2021	5
7	Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks ACM Journal on Emerging Technologies in Computing Systems ·Fan Zhang,Miao Hu	2020	17
8	Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Enginebreakdown → Advanced Materials ·Miao Hu,Catherine E. Graves,Can Li,Yunning Li,Ning Ge,Eric Montgomery,Noraica Dávila,Hao Jiang,R. Stanley Williams,J. Joshua Yang,Qiangfei Xia,John Paul Strachan	2018	601
9	Efficient and self-adaptive in-situ learning in multilayer memristor neural networksbreakdown → Nature Communications ·Can Li,Daniel Belkin,Yunning Li,Peng Yan,Miao Hu,Ning Ge,Hao Jiang,Eric Montgomery,Peng Lin,Zhongrui Wang,Wenhao Song,John Paul Strachan,Mark Barnell,Qing Wu,R. Stanley Williams,J. Joshua Yang,Qiangfei Xia	2018	711
10	In-Memory Computing with Memristor Arrays Can Li,Daniel Belkin,Yunning Li,Peng Yan,Miao Hu,Ning Ge,Hao Jiang,Eric Montgomery,Peng Lin,Zhongrui Wang,John Paul Strachan,Mark Barnell,Qing Wu,R. Stanley Williams,J. Joshua Yang,Qiangfei Xia	2018	41
11	An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing Scientific Reports ·Ning Ge,Jung Ho Yoon,Miao Hu,Emmanuelle J. Merced-Grafals,Noraica Dávila,John Paul Strachan,Zhiyong Li,Helen Holder,Qiangfei Xia,R. Stanley Williams,Xing Zhou,J. Joshua Yang	2017	25
12	Analogue signal and image processing with large memristor crossbarsbreakdown → Nature Electronics ·Can Li,Miao Hu,Yunning Li,Hao Jiang,Ning Ge,Eric Montgomery,Jiaming Zhang,Wenhao Song,Noraica Dávila,Catherine E. Graves,Zhiyong Li,John Paul Strachan,Peng Lin,Zhongrui Wang,Mark Barnell,Qing Wu,R. Stanley Williams,J. Joshua Yang,Qiangfei Xia	2017	986
13	ISAACbreakdown → ACM SIGARCH Computer Architecture News ·Ali Shafiee,Anirban Nag,Naveen Muralimanohar,Rajeev Balasubramonian,John Paul Strachan,Miao Hu,R. Stanley Williams,Vivek Srikumar	2016	1111
14	Memristors with diffusive dynamics as synaptic emulators for neuromorphic computingbreakdown → Nature Materials ·Zhongrui Wang,Saumil Joshi,Sergey Savel’ev,Hao Jiang,Rivu Midya,Peng Lin,Miao Hu,Ning Ge,John Paul Strachan,Zhiyong Li,Qing Wu,Mark Barnell,Geng‐Lin Li,Huolin L. Xin,R. Stanley Williams,Qiangfei Xia,J. Joshua Yang	2016	1899
15	ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbarsbreakdown → Ali Shafiee,Anirban Nag,Naveen Muralimanohar,Rajeev Balasubramonian,John Paul Strachan,Miao Hu,R. Stanley Williams,Vivek Srikumar	2016	483
16	Emerging memristor technology enabled next generation cortical processor Hai Li,Miao Hu,Xiaoxiao Liu,Mengjie Mao,Chuandong Li,Shukai Duan	2014	2
17	BSB training scheme implementation on memristor-based circuit Miao Hu,Hai Li,Yiran Chen,Qing Wu,Garrett S. Rose	2013	46
18	Fast statistical model of TiO<inf>2</inf> thin-film memristor and design implication Miao Hu,Hai Li,Robinson E. Pino	2011	3
19	Compact model of memristors and its application in computing systems Design, Automation, and Test in Europe ·Hai Li,Miao Hu	2010	10
20	Theory and experiment study of giant magnetostrictive self-sensing actuator World Automation Congress ·Hui Duan,Shuying Cao,Bowen Wang,Miao Hu,Jiayi Li,Jinlong An	2008	4

About Miao Hu

Miao Hu is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 47 papers that have together received 8.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (38 papers), Ferroelectric and Negative Capacitance Devices (24 papers), Neuroscience and Neural Engineering (21 papers), CCD and CMOS Imaging Sensors (11 papers), Neural dynamics and brain function (9 papers), Photoreceptor and optogenetics research (4 papers), Advanced Neural Network Applications (4 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.1k citations), Electrical and Electronic Engineering (7.8k citations) and Cognitive Neuroscience (1.3k citations). Miao Hu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include John Paul Strachan, R. Stanley Williams, J. Joshua Yang, Qing Wu, Ning Ge, Qiangfei Xia, Hao Jiang, Peng Lin, Zhongrui Wang and Zhiyong Li. Their work appears in journals such as Advanced Materials, Nature Communications and Nature Materials.

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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