Yunning Li

6.2k citations

18 papers · 3.8k indexed · 5 hit papers · h-index 14

Cellular and Molecular Neuroscience top 1%
- Neuroscience and Neural Engineering 7
- Photoreceptor and optogenetics research 4
Electrical and Electronic Engineering top 1%
- Advanced Memory and Neural Computing 13
- Ferroelectric and Negative Capacitance Devices 8
- CCD and CMOS Imaging Sensors 1
Cognitive Neuroscience top 2%
- Neural dynamics and brain function 4
Polymers and Plastics top 5%
Artificial Intelligence top 2%
Computational Mechanics
- Cyclone Separators and Fluid Dynamics 3
- Granular flow and fluidized beds 3

Co-authors: Qiangfei Xia Can Li Hao Jiang J. Joshua Yang Zhongrui Wang R. Stanley Williams Miao Hu Ning Ge
Cited by: Cellular and Molecular Neuroscience Electrical and Electronic Engineering Cognitive Neuroscience
Journals: Nature Electronics (4 papers)Nature Communications (2 papers)Advanced Materials (2 papers)
Partner nations: United States China United Kingdom

In The Last Decade

Yunning Li

18 papers receiving 3.7k citations

Hit Papers

5 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.

2020 Nature Electronics
2019 Nature Electronics
2018 Advanced Materials
2018 Nature Communications
2017 Nature Electronics

Peers

Countries citing papers authored by Yunning Li

Since Specialization

Citations

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

Fields of papers citing papers by Yunning Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yunning Li, 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 Yunning Li Line = papers co-authored together Yunning Li links everyone, so they are left out of the graph.

All Works

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18 of 18 papers shown

#	Work
1	Memristive Field‐Programmable Analog Arrays for Analog Computing Advanced Materials ·Yunning Li,Wenhao Song,Zhongrui Wang,Hao Jiang,Peng Yan,Peng Lin,Can Li,Mingyi Rao,Mark Barnell,Qing Wu,Sabyasachi Ganguli,Ajit K. Roy,Qiangfei Xia,J. Joshua Yang	2022	22
2	Analog Computing using 1T1R Crossbar Arrays Scholarworks (University of Massachusetts Amherst) ·Yunning Li	2021	1
3	Three-dimensional memristor circuits as complex neural networksbreakdown → Nature Electronics ·Peng Lin,Can Li,Zhongrui Wang,Yunning Li,Hao Jiang,Wenhao Song,Mingyi Rao,Ye Zhuo,Navnidhi K. Upadhyay,Mark Barnell,Qing Wu,J. Joshua Yang,Qiangfei Xia	2020	280
4	Research on the Structure and Control Strategy of a Novel Power Electronic Transformer for AC/DC Hybrid Distribution Network Applied Sciences ·Octi Rjeki Mardasari,Xin Ai,Yunning Li,Dapeng Ren	2019	4
5	In situ training of feed-forward and recurrent convolutional memristor networks Nature Machine Intelligence ·Zhongrui Wang,Can Li,Peng Lin,Mingyi Rao,Marius May,Wenhao Song,Qinru Qiu,Yunning Li,Peng Yan,John Paul Strachan,Ning Ge,Nathan McDonald,Qing Wu,Miao Hu,Huaqiang Wu,R. Stanley Williams,Qiangfei Xia,J. Joshua Yang	2019	239
6	Reinforcement learning with analogue memristor arraysbreakdown → Nature Electronics ·Zhongrui Wang,Can Li,Wenhao Song,Mingyi Rao,Daniel Belkin,Yunning Li,Peng Yan,Hao Jiang,Peng Lin,Miao Hu,John Paul Strachan,Ning Ge,Mark Barnell,Qing Wu,Andrew G. Barto,Qinru Qiu,R. Stanley Williams,Qiangfei Xia,J. Joshua Yang	2019	289
7	Artificial Neural Network (ANN) to Spiking Neural Network (SNN) Converters Based on Diffusive Memristors Advanced Electronic Materials ·Rivu Midya,Zhongrui Wang,Shiva Asapu,Saumil Joshi,Yunning Li,Ye Zhuo,Wenhao Song,Hao Jiang,B A Michaelis,Mingyi Rao,Peng Lin,Can Li,Qiangfei Xia,J. Joshua Yang	2019	106
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	Unconventional computing with diffusive memristors Zhongrui Wang,Rivu Midya,Saumil Joshi,Hao Jiang,Can Li,Peng Lin,Wenhao Song,Mingyi Rao,Yunning Li,Mark Barnell,Qing Wu,Qiangfei Xia,J. Joshua Yang	2018	8
12	Large Memristor Crossbars for Analog Computing Can Li,Yunning Li,Hao Jiang,Wenhao Song,Peng Lin,Zhongrui Wang,J. Joshua Yang,Qiangfei Xia,Miao Hu,Eric Montgomery,Jiaming Zhang,Noraica Dávila,Catherine E. Graves,Zhiyong Li,John Paul Strachan,R. Stanley Williams,Ning Ge,Mark Barnell,Qing Wu	2018	19
13	A provable key destruction scheme based on memristive crossbar arrays Nature Electronics ·Hao Jiang,Can Li,Rui Zhang,Peng Yan,Peng Lin,Yunning Li,J. Joshua Yang,Daniel Holcomb,Qiangfei Xia	2018	71
14	A novel true random number generator based on a stochastic diffusive memristor Nature Communications ·Hao Jiang,Daniel Belkin,Sergey Savel’ev,Siyan Lin,Zhongrui Wang,Yunning Li,Saumil Joshi,Rivu Midya,Can Li,Mingyi Rao,Mark Barnell,Qing Wu,J. Joshua Yang,Qiangfei Xia	2017	339
15	Impact of solid and gas flow patterns on solid mixing in bubbling fluidized beds Process Safety and Environmental Protection ·Yunning Li,Octi Rjeki Mardasari,Kai Zhang,Xianfeng Fan	2017	18
16	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
17	Identify of flow patterns in bubbling fluidization Chemical Engineering Science ·Yunning Li,Ahmed Wagia-Alla,Xianfeng Fan	2014	27
18	Two- and three-dimensional computational studies of liquid–solid fluidization Powder Technology ·Kai Zhang,Yanjun Guan,姜金富,Yunning Li,Xianfeng Fan,Stefano Brandani	2012	9

About Yunning Li

Yunning Li is a scholar working on Cellular and Molecular Neuroscience, Hardware and Architecture, Electrical and Electronic Engineering, Cognitive Neuroscience and Computational Mechanics, having authored 18 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (4 papers), Neural dynamics and brain function (4 papers), Cyclone Separators and Fluid Dynamics (3 papers), Granular flow and fluidized beds (3 papers) and CCD and CMOS Imaging Sensors (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Electrical and Electronic Engineering (3.6k citations), Cognitive Neuroscience (720 citations), Polymers and Plastics (322 citations) and Artificial Intelligence (709 citations). Yunning Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qiangfei Xia, Can Li, Hao Jiang, J. Joshua Yang, Zhongrui Wang, R. Stanley Williams, Miao Hu, Ning Ge, John Paul Strachan and Qing Wu. Their work appears in journals such as Nature Electronics, Nature Communications, Advanced Materials, Applied Sciences and Advanced Electronic 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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