Wei-Hsing Huang

1.4k citations
10 papers · 540 indexed · h-index 7
Topics
Advanced Memory and Neural Computing (8 papers)Ferroelectric and Negative Capacitance Devices (7 papers)CCD and CMOS Imaging Sensors (2 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Wei-Hsing Huang

8 papers receiving 532 citations

Peers

Wei-Hsing Huang
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 501
  • Artificial Intelligence 93
  • Hardware and Architecture 85
  • Computer Vision and Pattern Recognition 66
  • Cellular and Molecular Neuroscience 45
Replace Yung-Ning Tu with:
Yung-Ning Tu Taiwan
Geoffrey Ndu United Kingdom
Mustafa Ali United States
Dar Sun Taiwan
Burak Erbagci United States
Sheng-Po Huang Taiwan
Deepak Kadetotad United States
Hui-Yao Kao Taiwan
Chuan-Jia Jhang Taiwan
Fu-Chun Chang Taiwan
Wei-Hsing Huang relative to Yung-Ning Tu Taiwan Yung-Ning Tu's profile →
Citations per field
00.5×2.7×
Yung-Ning Tu · 1×
Citations per year

Countries citing papers authored by Wei-Hsing Huang

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Hsing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Hsing Huang. 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 Wei-Hsing Huang. The network helps show where Wei-Hsing Huang may publish in the future.

Co-authorship network of co-authors of Wei-Hsing Huang

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 47
3 0
4 20
5 65
6 28
7 159
8 203
9 16
10 0

About Wei-Hsing Huang

Wei-Hsing Huang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 540 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Hardware and Architecture (85 citations), Electrical and Electronic Engineering (501 citations) and Computational Mathematics (3 citations). Wei-Hsing Huang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Meng‐Fan Chang, Chih-Cheng Hsieh, Kea‐Tiong Tang, Ren-Shuo Liu, Xin Si, Wei-Chen Wei, Yen-Cheng Chiu, Yung-Ning Tu, Jiajing Chen and Shimeng Yu. Their work appears in journals such as Science, IEEE Journal of Solid-State Circuits and IEEE Transactions on Electron Devices.

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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