Yen-Lin Chung

742 total citations
4 papers, 231 citations indexed

About

Yen-Lin Chung is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Yen-Lin Chung has authored 4 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Hardware and Architecture. Recurrent topics in Yen-Lin Chung's work include Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Semiconductor materials and devices (2 papers). Yen-Lin Chung is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Semiconductor materials and devices (2 papers). Yen-Lin Chung collaborates with scholars based in Taiwan and China. Yen-Lin Chung's co-authors include Ping-Chun Wu, Jian-Wei Su, Meng‐Fan Chang, Xueqing Li, Nan Sun, Mingtao Zhan, Huazhong Yang, Jiaxin Liu, Zhe Yuan and Jinshan Yue and has published in prestigious journals such as IEEE Journal of Solid-State Circuits and 2022 IEEE International Solid- State Circuits Conference (ISSCC).

In The Last Decade

Yen-Lin Chung

4 papers receiving 228 citations

Peers

Yen-Lin Chung

EEE

HA

CVPR

AI

CNC

Jin-Sheng Ren Taiwan

Wujie Wen United States

Berndt M. Gammel Germany

Choungki Song United States

Skanda Koppula United States

Tarik Graba France

Qiaoyi Liu United States

Sai Vineel Reddy Chittamuru United States

Hyunyoon Cho South Korea

Sergey Shumarayev United States

Jin-Sheng Ren Taiwan

Yen-Lin Chung

152 ×0.7

EEE

52 ×0.9

HA

12 ×0.3

CVPR

33 ×0.8

AI

20 ×0.8

CNC

Citations per year, relative to Yen-Lin Chung Yen-Lin Chung (= 1×) peers Jin-Sheng Ren

Countries citing papers authored by Yen-Lin Chung

Since Specialization

Citations

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

Fields of papers citing papers by Yen-Lin Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen-Lin Chung. 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 Yen-Lin Chung. The network helps show where Yen-Lin Chung may publish in the future.

Co-authorship network of co-authors of Yen-Lin Chung

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

All Works

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4 of 4 papers shown

1.

Yue, Jinshan, Yongpan Liu, Xiaoyu Feng, et al.. (2023). An Energy-Efficient Computing-in-Memory NN Processor With Set-Associate Blockwise Sparsity and Ping-Pong Weight Update. IEEE Journal of Solid-State Circuits. 59(5). 1612–1627. 9 indexed citations

2.

Wu, Ping-Chun, Jian-Wei Su, Yen-Lin Chung, et al.. (2023). An 8b-Precision 6T SRAM Computing-in-Memory Macro Using Time-Domain Incremental Accumulation for AI Edge Chips. IEEE Journal of Solid-State Circuits. 59(7). 2297–2309. 10 indexed citations

3.

Wu, Ping-Chun, Jian-Wei Su, Yen-Lin Chung, et al.. (2022). A 28nm 1Mb Time-Domain Computing-in-Memory 6T-SRAM Macro with a 6.6ns Latency, 1241GOPS and 37.01TOPS/W for 8b-MAC Operations for Edge-AI Devices. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 1–3. 91 indexed citations

4.

Yue, Jinshan, Xiaoyu Feng, Yifan He, et al.. (2021). 15.2 A 2.75-to-75.9TOPS/W Computing-in-Memory NN Processor Supporting Set-Associate Block-Wise Zero Skipping and Ping-Pong CIM with Simultaneous Computation and Weight Updating. 238–240. 121 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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