Ming-Bo Lin

49 papers receiving 606 citations

Peers

Ming-Bo Lin
Comparison fields: 5 of 53
  • Hardware and Architecture 79
  • Computer Networks and Communications 211
  • Electrical and Electronic Engineering 480
  • Computer Vision and Pattern Recognition 110
  • Control and Systems Engineering 100
Replace Weigong Zhang with:
Weigong Zhang China
Jiří Mišurec Czechia
Muhammad Adeel Pasha Pakistan
Francisco Blanes Spain
Kyong-Tak Cho United States
Damian Grzechca Poland
Theodore W. Manikas United States
José Araújo Sweden
Kostas Siozios Greece
Ming-Bo Lin relative to Weigong Zhang China Weigong Zhang's profile →
Citations per field
00.5×6.3×
Weigong Zhang · 1×
Citations per year

Countries citing papers authored by Ming-Bo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Bo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ming-Bo Lin, 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-Bo Lin Line = papers co-authored together Ming-Bo Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007104
2 200849
3 200742
4 200640
5 200638
6 201037
7 201133
8 200926
9 200623
10
Introduction to VLSI Systems: A Logic, Circuit, and System Perspective
201123
11 200918
12 201118
13 200917
14 201317
15 200017
16 200015
17 200513
18 201111
19 201111
20 200611

About Ming-Bo Lin

Ming-Bo Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 50 papers that have together received 673 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (18 papers), Smart Grid Energy Management (11 papers), Interconnection Networks and Systems (9 papers), Parallel Computing and Optimization Techniques (6 papers), Low-power high-performance VLSI design (5 papers), Advanced Wireless Communication Techniques (5 papers), Advanced Data Compression Techniques (4 papers) and Coding theory and cryptography (4 papers). The work is most often cited by research in Hardware and Architecture (79 citations), Computer Networks and Communications (211 citations), Electrical and Electronic Engineering (480 citations), Computer Vision and Pattern Recognition (110 citations) and Control and Systems Engineering (100 citations). Ming-Bo Lin has collaborated with scholars based in Taiwan, United States and Peru. Frequent co-authors include Ying‐Wen Bai, Chia-Hung Lien, Cheng‐Hung Tsai, Hao‐Yuan Wang, Gene Eu Jan, Po‐An Chen, Jeffrey J. P. Tsai, Chin‐Shyurng Fahn, Shaohua Chen and Chang Hong Lin. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Journal of Parallel and Distributed Computing, IEEE Transactions on Computers and Multimedia Systems.

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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