Ming-Hung Han

523 citations
18 papers · 421 indexed · h-index 9

Ming-Hung Han

18 papers receiving 403 citations

Peers

Ming-Hung Han
Comparison fields: 5 of 19
  • Electrical and Electronic Engineering 415
  • Biomedical Engineering 87
  • Hardware and Architecture 10
  • Bioengineering 3
  • Atomic and Molecular Physics, and Optics 13
Replace M.M. Pelella with:
M.M. Pelella United States
Kavicharan Mummaneni India
Nattapol Damrongplasit United States
J. Lacord France
Dawit Burusie Abdi Belgium
Akram Salman United States
Xuemei Xi United States
L. Brévard France
F. Allain France
Samuel Tang United States
Ming-Hung Han relative to M.M. Pelella United States M.M. Pelella's profile →
Citations per field
00.5×
M.M. Pelella · 1×
Citations per year

Countries citing papers authored by Ming-Hung Han

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Hung Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Ming-Hung Han, 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-Hung Han Line = papers co-authored together Ming-Hung Han links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20182
2 20152
3 20145
4
Performance of GAA poly-Si nanosheet (2nm) channel of junctionless transistors with ideal subthreshold slope
201331
5 201329
6 201335
7 201365
8 201368
9 20138
10 20122
11 201018
12 201034
13 20102
14 201097
15 20109
16 20092
17 20095
18 20097

About Ming-Hung Han

Ming-Hung Han is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Infectious Diseases and Organic Chemistry, having authored 18 papers that have together received 421 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (17 papers), Semiconductor materials and devices (17 papers), Low-power high-performance VLSI design (4 papers), Thin-Film Transistor Technologies (4 papers), Nanowire Synthesis and Applications (4 papers), Silicon Carbide Semiconductor Technologies (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Photonic and Optical Devices (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (415 citations), Biomedical Engineering (87 citations), Hardware and Architecture (10 citations), Bioengineering (3 citations) and Atomic and Molecular Physics, and Optics (13 citations). Ming-Hung Han has collaborated with scholars based in Taiwan. Frequent co-authors include Hung-Bin Chen, Yung‐Chun Wu, Yiming Li, Chun‐Yen Chang, Chih‐Hong Hwang, Hui-Wen Cheng, Chun-Yen Chang, Fuhai Li, Yi‐Ruei Jhan and Chih‐Han Chang. Their work appears in journals such as IEEE Electron Device Letters, IEEE Transactions on Semiconductor Manufacturing, IEEE Transactions on Electron Devices, Japanese Journal of Applied Physics and IEEE Journal of the Electron Devices Society.

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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