Wen-Pin Lin

11 papers receiving 231 citations

Peers

Wen-Pin Lin
Comparison fields: 5 of 44
  • Electrical and Electronic Engineering 203
  • Cellular and Molecular Neuroscience 35
  • Polymers and Plastics 23
  • Hardware and Architecture 21
  • Materials Chemistry 12
Replace Pei-Chia Chiang with:
Pei-Chia Chiang Taiwan
Junren Chen China
Francesco Musolino Italy
Chenyuan Zhao China
Shien-Yang Wu Taiwan
H.-C. Chen United States
Pooja Aggarwal India
Ziyi Wang China
Changjun Lee South Korea
Min‐Li Yu Canada
Wen-Pin Lin relative to Pei-Chia Chiang Taiwan Pei-Chia Chiang's profile →
Citations per field
00.5×
Pei-Chia Chiang · 1×
Citations per year

Countries citing papers authored by Wen-Pin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Pin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-Pin Lin

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 5
2 6
3 15
4 10
5 42
6
Area-efficient embedded RRAM macros with sub-5ns random-read-access-time using logic-process parasitic-BJT-switch (0T1R) cell and read-disturb-free temperature-aware current-mode read scheme
2
7 35
8 44
9
A 5ns fast write multi-level non-volatile 1 K bits RRAM memory with advance write scheme
70
10 2
11 6

About Wen-Pin Lin

Wen-Pin Lin is a scholar working on Communication, Electrical and Electronic Engineering and Management Information Systems, having authored 11 papers that have together received 237 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (6 papers), Advanced Memory and Neural Computing (6 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (203 citations), Hardware and Architecture (21 citations) and Cellular and Molecular Neuroscience (35 citations). Wen-Pin Lin has collaborated with scholars based in Taiwan, China and Latvia. Frequent co-authors include Frederick T. Chen, Keng-Li Su, Shyh-Shyuan Sheu, Ming‐Jinn Tsai, Ming‐Jer Kao, Heng-Yuan Lee, Pei-Chia Chiang, Pang-Shiu Chen, Tai-Yuan Wu and Meng‐Fan Chang. Their work appears in journals such as IEEE Access, Analog Integrated Circuits and Signal Processing and Journal of Artificial Societies and Social Simulation.

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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