Ming-Hau Lee

1.3k citations
8 papers · 781 indexed · 1 hit paper · h-index 7

Impact in

Papers in

Journals
IEEE Transactions on Computers (1 paper)The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology (1 paper)
Partner nations
United StatesBrazilSpain

In The Last Decade

Ming-Hau Lee

8 papers receiving 728 citations

Hit Papers

MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications 2000 · 565 citations
5652000202620082017100200300400500

Peers

Ming-Hau Lee
Comparison fields: 5 of 28
  • Hardware and Architecture 719
  • Computer Networks and Communications 635
  • Electrical and Electronic Engineering 204
  • Signal Processing 33
  • Computer Vision and Pattern Recognition 43
Replace H. Singh with:
H. Singh United States
Eliseu M. C. Filho Brazil
Gilberto Contreras United States
Matthew Moe United States
Bingfeng Mei Belgium
P.E.R. Lippens Netherlands
Brandon Blodget United States
V. Nollet Belgium
Heiko Kalte Germany
A. van der Werf Netherlands
Ming-Hau Lee relative to H. Singh United States H. Singh's profile →
Citations per field
00.5×1.5×
H. Singh · 1×
Citations per year

Countries citing papers authored by Ming-Hau Lee

Since Specialization
Citations

This map shows the geographic impact of Ming-Hau 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-Hau 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-Hau Lee more than expected).

Fields of papers citing papers by Ming-Hau Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ming-Hau 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-Hau Lee Line = papers co-authored together Ming-Hau Lee links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Ming-Hau Lee

Ming-Hau Lee is a scholar working on Hardware and Architecture, Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 8 papers that have together received 781 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (6 papers), Interconnection Networks and Systems (5 papers), Parallel Computing and Optimization Techniques (3 papers), VLSI and FPGA Design Techniques (2 papers), Video Coding and Compression Technologies (2 papers), Digital Filter Design and Implementation (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Hardware and Architecture (719 citations), Computer Networks and Communications (635 citations), Electrical and Electronic Engineering (204 citations), Signal Processing (33 citations) and Computer Vision and Pattern Recognition (43 citations). Ming-Hau Lee has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include H. Singh, Nader Bagherzadeh, Fadi Kurdahi, Eliseu M. C. Filho, Guangming Lu, Guangming Lu, V.C. Alves, Guangming Lu, Rafael Maestre and Guangming Lu. Their work appears in journals such as IEEE Transactions on Computers and The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology.

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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