Xiaochen Peng

4.1k citations
63 papers · 3.1k · 2 hit papers · h-index 25

Impact in

Papers in

Xiaochen Peng

60 papers receiving 3.0k citations

Xiaochen Peng's Hit Papers

Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects 2021 · 244 citations
2440+2+5Years since publication100200300400

Peers

Xiaochen Peng
Comparison fields: 5 of 66
  • Electrical and Electronic Engineering 2.9k
  • Hardware and Architecture 250
  • Cellular and Molecular Neuroscience 526
  • Artificial Intelligence 648
  • Computer Vision and Pattern Recognition 355
Replace Chih-Cheng Hsieh with:
Chih-Cheng Hsieh Taiwan
Lixue Xia China
Akhilesh Jaiswal United States
Boxun Li China
Priyanka Raina United States
Kailash Gopalakrishnan United States
Abhronil Sengupta United States
Ren-Shuo Liu Taiwan
Cheng-Xin Xue Taiwan
Michael Niemier United States
Xiaochen Peng relative to Chih-Cheng Hsieh Taiwan Chih-Cheng Hsieh's profile →
Citations per field
00.5×1.6×
Chih-Cheng Hsieh · 1×
Citations per year

Countries citing papers authored by Xiaochen Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning
Hit paper breakdown →
2018494
2 2017328
3 2019271
4
Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects
Hit paper breakdown →
2021244
5 2020207
6 2018182
7 2018166
8 202190
9 201972
10 201972
11 202061
12 201860
13 201854
14 201942
15 201742
16 201942
17 202140
18 202037
19 202137
20 202130

About Xiaochen Peng

Xiaochen Peng is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 63 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (54 papers), Ferroelectric and Negative Capacitance Devices (50 papers), Advanced Neural Network Applications (17 papers), Semiconductor materials and devices (17 papers), Neuroscience and Neural Engineering (6 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Neural Networks and Reservoir Computing (4 papers) and CCD and CMOS Imaging Sensors (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.9k citations), Hardware and Architecture (250 citations), Cellular and Molecular Neuroscience (526 citations), Artificial Intelligence (648 citations) and Computer Vision and Pattern Recognition (355 citations). Xiaochen Peng has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Shimeng Yu, Pai-Yu Chen, Shanshi Huang, Xiaoyu Sun, Hongwu Jiang, Anni Lu, Yandong Luo, Rui Liu, Jae-sun Seo and Rui Liu. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Electron Devices, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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