Ming-Bo Lin

50 papers receiving 668 citations

Peers

Ming-Bo Lin
Comparison fields: 5 of 54
  • Hardware and Architecture 85
  • Computer Networks and Communications 228
  • Electrical and Electronic Engineering 497
  • Computer Vision and Pattern Recognition 121
  • Computer Graphics and Computer-Aided Design 18
Replace Weigong Zhang with:
Weigong Zhang China
Francisco Blanes Spain
Damian E. Grzechca Poland
G. Benet Spain
Muhammad Adeel Pasha Pakistan
Abbas Mehrabi Finland
Theodore W. Manikas United States
Abbas Sadat Canada
Federico Tramarin Italy
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Citations per field
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007107
2 200853
3 200750
4 200643
5 200640
6 201038
7 201132
8
Introduction to VLSI Systems: A Logic, Circuit, and System Perspective
201127
9 200926
10 200625
11 201123
12 200920
13 201319
14 200018
15 200917
16 200014
17 200513
18 201112
19 200612
20 202312

About Ming-Bo Lin

Ming-Bo Lin is a scholar working on Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 51 papers that have together received 723 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 Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (85 citations), Computer Networks and Communications (228 citations), Electrical and Electronic Engineering (497 citations), Computer Vision and Pattern Recognition (121 citations) and Computer Graphics and Computer-Aided Design (18 citations). Ming-Bo Lin has collaborated with scholars based in Taiwan, United States and Lebanon. Frequent co-authors include Ying‐Wen Bai, Chia-Hung Lien, Cheng‐Hung Tsai, Hao‐Yuan Wang, Gene Eu Jan, Jeffrey J. P. Tsai, Po‐An Chen, Chin‐Shyurng Fahn, Shaohua Chen and Po‐Chen Chen. 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 IEEE Transactions on Instrumentation and Measurement.

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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