Ming-Hsiu Lee

510 citations
41 papers · 402 · h-index 10

Impact in

Papers in

Ming-Hsiu Lee

35 papers receiving 394 citations

Peers

Ming-Hsiu Lee
Comparison fields: 5 of 37
  • Electrical and Electronic Engineering 334
  • Hardware and Architecture 34
  • Polymers and Plastics 59
  • Materials Chemistry 170
  • Ceramics and Composites 11
Replace Hsiang-Lan Lung with:
Hsiang-Lan Lung Taiwan
Kai‐Shin Li Taiwan
N. Castellani France
M. Bocquet France
Chilhee Chung South Korea
Jin Wu China
Xiao-Gang Chen China
Pei-Ying Du Taiwan
Chi-Shuen Lee United States
Agostino Pirovano Italy
Ming-Hsiu Lee relative to Hsiang-Lan Lung Taiwan Hsiang-Lan Lung's profile →
Citations per field
00.5×1.6×
Hsiang-Lan Lung · 1×
Citations per year

Countries citing papers authored by Ming-Hsiu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hsiu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Hsiu Lee. 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 Ming-Hsiu Lee. The network helps show where Ming-Hsiu Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008131
2 201960
3 201127
4 201624
5 201819
6 200918
7 201618
8 202014
9 202110
10 20169
11 20137
12 20176
13 20065
14 20185
15 20124
16 20164
17
A Hybrid In-Memory-Searching and In-Memory-Computing Architecture for NVM Based AI Accelerator
20213
18 20233
19 20223
20 20223

About Ming-Hsiu Lee

Ming-Hsiu Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Materials Chemistry, Hardware and Architecture and Polymers and Plastics, having authored 41 papers that have together received 402 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (15 papers), Advanced Data Storage Technologies (10 papers), Semiconductor materials and devices (10 papers), Transition Metal Oxide Nanomaterials (6 papers), Phase-change materials and chalcogenides (6 papers), Neuroscience and Neural Engineering (4 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (334 citations), Hardware and Architecture (34 citations), Polymers and Plastics (59 citations), Materials Chemistry (170 citations) and Ceramics and Composites (11 citations). Ming-Hsiu Lee has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Hsiang-Lan Lung, Yu‐Yu Lin, Erh-Kun Lai, Yen-Hao Shih, Martin Salinga, R. M. Shelby, Yi‐Chou Chen, Jean Jordan‐Sweet, Simone Raoux and Keh-Chung Wang. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Electron Device Letters, IEEE Transactions on Electron Devices, Microelectronic Engineering and IEEE Journal of Solid-State Circuits.

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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