Yun Long

590 total citations
27 papers, 407 citations indexed

About

Yun Long is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yun Long has authored 27 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yun Long's work include Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and CCD and CMOS Imaging Sensors (6 papers). Yun Long is often cited by papers focused on Advanced Memory and Neural Computing (16 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and CCD and CMOS Imaging Sensors (6 papers). Yun Long collaborates with scholars based in United States, China and Spain. Yun Long's co-authors include Saibal Mukhopadhyay, Taesik Na, Daehyun Kim, Edward Lee, Asif Islam Khan, Burhan Ahmad Mudassar, Jaeha Kung, Fadi Kurdahi, Duck-Hwan Kim and Chunhui Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Yun Long

25 papers receiving 397 citations

Peers

Yun Long

EEE

CVPR

CNC

Daisuke Miyashita Japan

Daniel Bankman United States

Kodai Ueyoshi Japan

Muya Chang United States

En-Yu Yang United States

Roel Uytterhoeven Belgium

Shixuan Zheng China

Rickard Ewetz United States

Alfio Di Mauro Italy

Andre Guntoro Germany

Daisuke Miyashita Japan

Yun Long

400 ×1.2

EEE

132 ×1.2

112 ×1.0

CVPR

33 ×0.8

46 ×1.6

CNC

Citations per year, relative to Yun Long Yun Long (= 1×) peers Daisuke Miyashita

Countries citing papers authored by Yun Long

Since Specialization

Citations

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

Fields of papers citing papers by Yun Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Long

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

All Works

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20 of 20 papers shown

Long, Yun, et al.. (2025). Optimizing Variable Admittance Control for Remote Ultrasound Scanning Under Uncertain Environment. IEEE Access. 13. 83274–83284.

Lu, Anni, et al.. (2021). Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(4). 649–662. 13 indexed citations

Long, Yun, et al.. (2021). ScieNet: Deep learning with spike-assisted contextual information extraction. Pattern Recognition. 118. 108002–108002. 6 indexed citations

Long, Yun, et al.. (2020). A Flexible Precision Multi-Format In-Memory Vector Matrix Multiplication Engine in 65 nm CMOS With RF Machine Learning Support. IEEE Solid-State Circuits Letters. 3. 450–453. 1 indexed citations

Long, Yun, Edward Lee, Daehyun Kim, & Saibal Mukhopadhyay. (2020). Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform. 1–6. 16 indexed citations

Long, Yun, Edward Lee, Daehyun Kim, & Saibal Mukhopadhyay. (2020). Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. 1–8. 5 indexed citations

Mudassar, Burhan Ahmad, Yun Long, Taesik Na, et al.. (2019). CAMEL: An Adaptive Camera With Embedded Machine Learning-Based Sensor Parameter Control. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(3). 498–508. 11 indexed citations

Long, Yun, Daehyun Kim, Edward Lee, et al.. (2019). A Ferroelectric FET-Based Processing-in-Memory Architecture for DNN Acceleration. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 5(2). 113–122. 58 indexed citations

Mudassar, Burhan Ahmad, Yun Long, Taesik Na, et al.. (2019). A Camera with Brain – Embedding Machine Learning in 3D Sensors. 680–685. 4 indexed citations

10.

Lee, Edward, Daehyun Kim, Venkata Chaitanya Krishna Chekuri, Yun Long, & Saibal Mukhopadhyay. (2019). A ReRAM Memory Compiler with Layout-Precise Performance Evaluation. 8. 1–3. 1 indexed citations

11.

Long, Yun, Taesik Na, & Saibal Mukhopadhyay. (2018). ReRAM-Based Processing-in-Memory Architecture for Recurrent Neural Network Acceleration. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(12). 2781–2794. 82 indexed citations

12.

Long, Yun, et al.. (2018). HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems. 551–560. 2 indexed citations

13.

Long, Yun, et al.. (2018). A ferroelectric FET based power-efficient architecture for data-intensive computing. 1–8. 21 indexed citations

14.

Kung, Jaeha, Yun Long, Duck-Hwan Kim, & Saibal Mukhopadhyay. (2017). A Programmable Hardware Accelerator for Simulating Dynamical Systems. ACM SIGARCH Computer Architecture News. 45(2). 403–415. 5 indexed citations

15.

Kung, Jaeha, Yun Long, Duck-Hwan Kim, & Saibal Mukhopadhyay. (2017). A Programmable Hardware Accelerator for Simulating Dynamical Systems. 403–415. 12 indexed citations

16.

Ko, Jong Hwan, Yun Long, Duck-Hwan Kim, et al.. (2017). Energy-efficient neural image processing for Internet-of-Things edge devices. 1069–1072. 2 indexed citations

17.

Long, Yun, et al.. (2016). ReRAM Crossbar based Recurrent Neural Network for human activity detection. 19 indexed citations

18.

Zhang, Chunhui, Yun Long, & Fadi Kurdahi. (2007). A hierarchical pipelining architecture and FPGA implementation for lifting-based 2-D DWT. Journal of Real-Time Image Processing. 2(4). 281–291. 4 indexed citations

19.

Zhang, Chunhui, et al.. (2004). "Software-pipelined" 2-D discrete wavelet transform with VLSI hierarchical implementation. 1. 148–153. 7 indexed citations

20.

Long, Yun, et al.. (2003). Algorithm optimizations and mapping scheme for interactive ray tracing on a reconfigurable architecture. Computers & Graphics. 27(5). 701–713. 6 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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