Lan-Da Van

68 papers receiving 815 citations

Peers

Lan-Da Van
Comparison fields: 5 of 74
  • Signal Processing 403
  • Hardware and Architecture 100
  • Computer Vision and Pattern Recognition 180
  • Electrical and Electronic Engineering 459
  • Computational Mechanics 151
Replace Akinori Nishihara with:
Akinori Nishihara Japan
Saeid Nooshabadi United States
B. Venkataramani India
Roberto Muscedere Canada
Yoshikazu Miyanaga Japan
Ken Choi United States
Marc Renaudin France
Xin Lou China
Xue Liu China
Feng Yu China
Lan-Da Van relative to Akinori Nishihara Japan Akinori Nishihara's profile →
Citations per field
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Akinori Nishihara · 1×
Citations per year

Countries citing papers authored by Lan-Da Van

Since Specialization
Citations

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

Fields of papers citing papers by Lan-Da Van

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200582
2 200080
3 201151
4 200149
5 200938
6 200734
7 200830
8 200128
9 201027
10 201726
11 200224
12 200822
13 200822
14 201921
15 200620
16 202119
17 200516
18 201115
19 201915
20 201014

About Lan-Da Van

Lan-Da Van is a scholar working on Signal Processing, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering, having authored 75 papers that have together received 877 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (27 papers), Advanced Adaptive Filtering Techniques (14 papers), Analog and Mixed-Signal Circuit Design (12 papers), Image and Signal Denoising Methods (12 papers), Advanced Data Compression Techniques (10 papers), Blind Source Separation Techniques (10 papers), Low-power high-performance VLSI design (8 papers) and PAPR reduction in OFDM (6 papers). The work is most often cited by research in Signal Processing (403 citations), Hardware and Architecture (100 citations), Computer Vision and Pattern Recognition (180 citations), Electrical and Electronic Engineering (459 citations) and Computational Mechanics (151 citations). Lan-Da Van has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Wu‐Shiung Feng, Chih-Chyau Yang, Chin‐Teng Lin, Shuenn‐Shyang Wang, I‐Hung Khoo, Pei‐Yu Chen, Sy‐Yen Kuo, Yu‐Chee Tseng, Yi‐Bing Lin and Chih-Chun Tang. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Circuits and Systems Magazine and Multidimensional Systems and Signal Processing.

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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