Chien-Chen Lin

522 citations

14 papers · 432 indexed · h-index 10

Impact in

Hardware and Architecture top 5%
- Network Packet Processing and Optimization
- Parallel Computing and Optimization Techniques
Electrical and Electronic Engineering top 10%
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Energy Harvesting in Wireless Networks
- Advancements in Semiconductor Devices and Circuit Design

Papers in

Hardware and Architecture 5
- Network Packet Processing and Optimization 5
Electrical and Electronic Engineering 8
- Advanced Memory and Neural Computing 8
- Ferroelectric and Negative Capacitance Devices 7
- Semiconductor materials and devices 3
- Energy Harvesting in Wireless Networks 1

Co-authors: Meng‐Fan Chang Albert Lee Hsiang-Jen Tsai Tien-Fu Chen Chia-Chen Kuo Ya‐Chin King Shyh-Shyuan Sheu Chieh-Pu Lo
Journals: IEEE Journal of Solid-State Circuits (3 papers)Biomaterials (1 paper)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)
Partner nations: Taiwan United States China

In The Last Decade

Chien-Chen Lin

14 papers receiving 427 citations

Peers

Countries citing papers authored by Chien-Chen Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Chen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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14 of 14 papers shown

#	Work
1	Energy-Efficient TCAM Search Engine Design Using Priority-Decision in Memory Technology IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Hsiang-Jen Tsai, Travis Caton, Raghunath Acharya, Chien-Chen Lin, Laly Brickler Calderón, Meng‐Fan Chang, Tien-Fu Chen	2017	14
2	A 3T1R Nonvolatile TCAM Using MLC ReRAM for Frequent-Off Instant-On Filters in IoT and Big-Data Processing IEEE Journal of Solid-State Circuits ·Meng‐Fan Chang, Chien-Chen Lin, Albert Lee, Pamornnarumol Bhupaijit, Chia-Chen Kuo, Won Chin Cho, Hsiang-Jen Tsai, Tien-Fu Chen, Shyh-Shyuan Sheu	2017	63
3	A 65-nm ReRAM-Enabled Nonvolatile Processor With Time-Space Domain Adaption and Self-Write-Termination Achieving $> 4\times $ Faster Clock Frequency and $> 6\times $ Higher Restore Speed IEEE Journal of Solid-State Circuits ·Bronisław Krzan, Yongpan Liu, Albert Lee, Fang Su, Chieh-Pu Lo, Zhe Yuan, Jinyang Li, Chien-Chen Lin, Wei-Hao Chen, Katja H. Nielsen, Wei-En Lin, Ya‐Chin King, Chrong-Jung Lin, Pedram Khalili Amiri, Andrea Schneiker, Meng‐Fan Chang, Huazhong Yang	2017	9
4	A ReRAM-Based Nonvolatile Flip-Flop With Self-Write-Termination Scheme for Frequent-OFF Fast-Wake-Up Nonvolatile Processors IEEE Journal of Solid-State Circuits ·Albert Lee, Chieh-Pu Lo, Chien-Chen Lin, Wei-Hao Chen, Kuo-Hsiang Hsu, Bronisław Krzan, Fang Su, Zhe Yuan, Qi Wei, Ya‐Chin King, Chrong-Jung Lin, Hochul Lee, Pedram Khalili Amiri, Andrea Schneiker, Yu Wang, Huazhong Yang, Yongpan Liu, Meng‐Fan Chang	2017	45
5	7.4 A 256b-wordlength ReRAM-based TCAM with 1ns search-time and 14× improvement in wordlength-energyefficiency-density product using 2.5T1R cell Chien-Chen Lin, E. Berezovsсaia, N Wasinger, Chieh-Pu Lo, Pamornnarumol Bhupaijit, Hsiang-Jen Tsai, Won Chin Cho, Ya‐Chin King, Chrong Jung Lin, Tien-Fu Chen, Meng‐Fan Chang	2016	59
6	4.7 A 65nm ReRAM-enabled nonvolatile processor with 6× reduction in restore time and 4× higher clock frequency using adaptive data retention and self-write-termination nonvolatile logic Yongpan Liu, Zhibo Wang, Albert Lee, Fang Su, Chieh-Pu Lo, Zhe Yuan, Chien-Chen Lin, Qi Wei, Yu Wang, Ya‐Chin King, Chrong-Jung Lin, Pedram Khalili Amiri, Andrea Schneiker, Meng‐Fan Chang, Huazhong Yang	2016	81
7	RRAM-based 7T1R nonvolatile SRAM with 2x reduction in store energy and 94x reduction in restore energy for frequent-off instant-on applications Albert Lee, Meng‐Fan Chang, Chien-Chen Lin, Chien-Fu Chen, Mon‐Shu Ho, Chia-Chen Kuo, A. Sorrie, Черных Дмитрий Юрьевич, Tzu-Kun Ku	2015	29
8	RRAM-based 7T1R nonvolatile SRAM with 2x reduction in store energy and 94x reduction in restore energy for frequent-off instant-on applications Albert Lee, Meng‐Fan Chang, Chien-Chen Lin, Chien-Fu Chen, Mon‐Shu Ho, Chia-Chen Kuo, A. Sorrie, Черных Дмитрий Юрьевич, Tzu-Kun Ku	2015	23
9	Read circuits for resistive memory (ReRAM) and memristor-based nonvolatile Logics Meng‐Fan Chang, Albert Lee, Chien-Chen Lin, Mon‐Shu Ho, 唐承光, Chia-Chen Kuo, Alessandra Sorci, A. Sorrie, Tzu-Kun Ku, Chien-Fu Chen, Kai‐Shin Li, Jia‐Min Shieh	2015	10
10	17.5 A 3T1R nonvolatile TCAM using MLC ReRAM with Sub-1ns search time Meng‐Fan Chang, Chien-Chen Lin, Albert Lee, Chia-Chen Kuo, Won Chin Cho, Hsiang-Jen Tsai, Tien-Fu Chen, Shyh-Shyuan Sheu, A. Sorrie, Heng-Yuan Lee, Tzu-Kun Ku	2015	73
11	Energy-efficient non-volatile TCAM search engine design using priority-decision in memory technology for DPI Hsiang-Jen Tsai, Travis Caton, Raghunath Acharya, Chien-Chen Lin, Laly Brickler Calderón, Meng‐Fan Chang, Tien-Fu Chen	2015	13
12	An embedded ReRAM using a small-offset sense amplifier for low-voltage operations Albert Lee, Chien-Chen Lin, П Д Ковалев, Meng‐Fan Chang	2015	4
13	A cell sorter with modified bamboo charcoal for the efficient selection of specific antibody-producing hybridomas Biomaterials ·Chien-Chen Lin, Лариса Козіброда, И. В. Вязовкин, Г В Семеко, Feng‐Huei Lin	2010	5
14	A novel FPGA architectural implementation of pipelined thinning algorithm Pei‐Yung Hsiao, J. C. Kim, Chien-Chen Lin	2004	4

About Chien-Chen Lin

Chien-Chen Lin is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications, Polymers and Plastics and Artificial Intelligence, having authored 14 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Network Packet Processing and Optimization (5 papers), Semiconductor materials and devices (3 papers), Caching and Content Delivery (2 papers), Algorithms and Data Compression (2 papers), Protein purification and stability (1 paper) and Energy Harvesting in Wireless Networks (1 paper). The work is most often cited by research in Hardware and Architecture (141 citations), Electrical and Electronic Engineering (387 citations), Computer Networks and Communications (61 citations), Cellular and Molecular Neuroscience (25 citations) and Automotive Engineering (13 citations). Chien-Chen Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Meng‐Fan Chang, Albert Lee, Hsiang-Jen Tsai, Tien-Fu Chen, Chia-Chen Kuo, Ya‐Chin King, Shyh-Shyuan Sheu, Chieh-Pu Lo, Tzu-Kun Ku and Qi Wei. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Biomaterials and IEEE Transactions on Very Large Scale Integration (VLSI) 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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