Bill Lin

1.8k citations
72 papers · 700 · h-index 15

Impact in

Papers in

Bill Lin

63 papers receiving 674 citations

Peers

Bill Lin
Comparison fields: 5 of 71
  • Hardware and Architecture 163
  • Health Informatics 19
  • Artificial Intelligence 327
  • Computer Networks and Communications 130
  • Computer Science Applications 24
Replace Yansong Gao with:
Yansong Gao Australia
Vincent Bindschaedler United States
Adrià Gascón United States
John Wernsing United States
Basel Halak United Kingdom
Khalid Latif Pakistan
Rosario Cammarota United States
Somanath Tripathy India
Bill Lin relative to Yansong Gao Australia Yansong Gao's profile →
Citations per field
00.5×1.5×
Yansong Gao · 1×
Citations per year

Countries citing papers authored by Bill Lin

Since Specialization
Citations

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

Fields of papers citing papers by Bill Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202262
2 202151
3 202345
4 202341
5 202339
6 202335
7 202132
8 202024
9 199423
10
FedNLP: A Research Platform for Federated Learning in Natural Language Processing.
202123
11 202121
12 200220
13 200320
14 202417
15 202014
16 202013
17 201912
18 201311
19 202111
20 201310

About Bill Lin

Bill Lin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 700 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (15 papers), VLSI and Analog Circuit Testing (13 papers), Parallel Computing and Optimization Techniques (9 papers), Interconnection Networks and Systems (9 papers), Privacy-Preserving Technologies in Data (8 papers), Advancements in Photolithography Techniques (7 papers), Advanced Memory and Neural Computing (7 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). The work is most often cited by research in Hardware and Architecture (163 citations), Health Informatics (19 citations), Artificial Intelligence (327 citations), Computer Networks and Communications (130 citations) and Computer Science Applications (24 citations). Bill Lin has collaborated with scholars based in United States, Taiwan and Hong Kong. Frequent co-authors include Saeed Vahidian, Chung‐Kuan Cheng, Xiang Ren, Chia-Tung Ho, Weijia Wang, Mubarak Shah, Chen Chen, Ilgweon Kang, Andrew B. Kahng and Sicun Gao. Their work appears in journals such as IEEE Transactions on Artificial Intelligence, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Access and ACM Journal on Emerging Technologies in Computing Systems.

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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