Bin-Da Liu

160 papers receiving 1.7k citations

Peers

Bin-Da Liu
Comparison fields: 5 of 115
  • Signal Processing 396
  • Hardware and Architecture 205
  • Computer Vision and Pattern Recognition 466
  • Electrical and Electronic Engineering 784
  • Bioengineering 74
Replace Antonio García with:
Antonio García Spain
Ahmed H. Madian Egypt
Yvon Savaria Canada
Maurizio Martina Italy
Lobna A. Said Egypt
Günhan Dündar Türkiye
Ankur Srivastava United States
Yingtao Jiang United States
Guido Masera Italy
Yibo Fan China
Bin-Da Liu relative to Antonio García Spain Antonio García's profile →
Citations per field
00.5×1.5×1.8×
Antonio García · 1×
Citations per year

Countries citing papers authored by Bin-Da Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bin-Da Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin-Da Liu. 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 Bin-Da Liu. The network helps show where Bin-Da Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Bin-Da Liu, 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 Bin-Da Liu Line = papers co-authored together Bin-Da Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003102
2 200195
3 200366
4 199547
5 201243
6 200543
7 201142
8 200037
9 201336
10 200536
11 200835
12 200334
13 201632
14 201430
15 200330
16 201030
17 201929
18 200228
19 200727
20 200327

About Bin-Da Liu

Bin-Da Liu is a scholar working on Signal Processing, Hardware and Architecture, Computer Vision and Pattern Recognition, Bioengineering and Electrical and Electronic Engineering, having authored 167 papers that have together received 1.8k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (46 papers), Video Coding and Compression Technologies (33 papers), Advanced Vision and Imaging (27 papers), Neural Networks and Applications (20 papers), Image and Video Quality Assessment (19 papers), Advanced Data Compression Techniques (18 papers), Low-power high-performance VLSI design (17 papers) and CCD and CMOS Imaging Sensors (17 papers). The work is most often cited by research in Signal Processing (396 citations), Hardware and Architecture (205 citations), Computer Vision and Pattern Recognition (466 citations), Electrical and Electronic Engineering (784 citations) and Bioengineering (74 citations). Bin-Da Liu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jar‐Ferr Yang, Che‐Hong Chen, Soon-Jyh Chang, Chia‐Ling Wei, Yu-Cherng Hung, Hung‐Yin Lin, Hann-Huei Tsai, Ying‐Zong Juang, Kuen-Jong Lee and Yau-Hwang Kuo. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEICE Transactions on Electronics, Analog Integrated Circuits and Signal Processing, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Biosensors and Bioelectronics.

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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