Shih‐Lien Lu

3.2k citations
82 papers · 2.4k · h-index 26

Impact in

Papers in

Shih‐Lien Lu

81 papers receiving 2.3k citations

Peers

Shih‐Lien Lu
Comparison fields: 5 of 54
  • Hardware and Architecture 1.5k
  • Computer Networks and Communications 913
  • Electrical and Electronic Engineering 1.7k
  • Computer Vision and Pattern Recognition 117
  • Information Systems 96
Replace Hideharu Amano with:
Hideharu Amano Japan
Renée St. Amant United States
Emily Blem United States
J. Kahle United States
Al Davis United States
R. Gonzalez United States
Steven J. E. Wilton Canada
Preeti Ranjan Panda India
Steven M. Burns United States
J. Chandy United States
Shih‐Lien Lu relative to Hideharu Amano Japan Hideharu Amano's profile →
Citations per field
00.5×1.5×1.8×
Hideharu Amano · 1×
Citations per year

Countries citing papers authored by Shih‐Lien Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Lien Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Lien Lu. 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 Shih‐Lien Lu. The network helps show where Shih‐Lien Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Shih‐Lien Lu, 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 Shih‐Lien Lu Line = papers co-authored together Shih‐Lien Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008198
2 2010161
3 2004158
4 2013135
5 2007132
6 2009132
7 2011114
8 2015110
9 200998
10 200198
11 201483
12 201571
13 200969
14 200860
15 201054
16 200052
17 201044
18 201043
19 201538
20 201035

About Shih‐Lien Lu

Shih‐Lien Lu is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (44 papers), Low-power high-performance VLSI design (41 papers), Advanced Data Storage Technologies (19 papers), Semiconductor materials and devices (19 papers), Radiation Effects in Electronics (18 papers), Interconnection Networks and Systems (13 papers), Advanced Memory and Neural Computing (13 papers) and Embedded Systems Design Techniques (9 papers). The work is most often cited by research in Hardware and Architecture (1.5k citations), Computer Networks and Communications (913 citations), Electrical and Electronic Engineering (1.7k citations), Computer Vision and Pattern Recognition (117 citations) and Information Systems (96 citations). Shih‐Lien Lu has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Zeshan Chishti, Chris Wilkerson, Alaa R. Alameldeen, Wei Wu, Bruce Jacob, Muhammad Khellah, Dinesh Somasekhar, Tanay Karnik, Vivek De and Hongliang Gao. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Journal of Solid-State Circuits, IEEE Micro, IEEE Transactions on Computers and IEEE Transactions on Magnetics.

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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