David W. Lin

1.4k citations
98 papers · 975 · h-index 17

Impact in

Papers in

David W. Lin

82 papers receiving 915 citations

Peers

David W. Lin
Comparison fields: 5 of 82
  • Signal Processing 229
  • Radiology, Nuclear Medicine and Imaging 216
  • Computer Networks and Communications 212
  • Computer Vision and Pattern Recognition 159
  • Computational Mechanics 156
Replace Monika Agrawal with:
Monika Agrawal India
A. Dogandzic United States
Eugene Walach Israel
Karin Schnass Switzerland
Saikat Chatterjee Sweden
Daniele Angelosante Italy
Martin S. Andersen Denmark
João F. C. Mota United Kingdom
George-Othon Glentis Greece
David W. Lin relative to Monika Agrawal India Monika Agrawal's profile →
Citations per field
00.5×3.2×
Monika Agrawal · 1×
Citations per year

Countries citing papers authored by David W. Lin

Since Specialization
Citations

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

Fields of papers citing papers by David W. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. 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 David W. Lin. The network helps show where David W. Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991170
2 200279
3 198467
4 200958
5 199749
6 198134
7 198431
8 199327
9 201626
10 199822
11 200622
12 198921
13 200819
14 199518
15 200518
16 200617
17 199516
18 201215
19 200515
20 201014

About David W. Lin

David W. Lin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 98 papers that have together received 975 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (48 papers), Wireless Communication Networks Research (29 papers), Advanced Data Compression Techniques (20 papers), Video Coding and Compression Technologies (16 papers), Advanced Adaptive Filtering Techniques (16 papers), PAPR reduction in OFDM (12 papers), Power Line Communications and Noise (12 papers) and Advanced MIMO Systems Optimization (10 papers). The work is most often cited by research in Signal Processing (229 citations), Radiology, Nuclear Medicine and Imaging (216 citations), Computer Networks and Communications (212 citations), Computer Vision and Pattern Recognition (159 citations) and Computational Mechanics (156 citations). David W. Lin has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Steven E. Wilson, Stephen D. Klyce, Jiann‐Jone Chen, Sun‐Yuan Kung, Tzu-Hsien Sang, John B. Moore, Solomon Diamond, Sergio Fantini, David A. Boas and Maria Angela Franceschini. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Signal Processing and Surgical Endoscopy.

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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