Chit-Kwan Lin

4.2k citations
15 papers · 320 · h-index 10

Impact in

Papers in

Chit-Kwan Lin

15 papers receiving 311 citations

Peers

Chit-Kwan Lin
Comparison fields: 5 of 34
  • Computer Networks and Communications 112
  • Electrical and Electronic Engineering 245
  • Cognitive Neuroscience 52
  • Ocean Engineering 43
  • Aerospace Engineering 60
Replace Travis Bessell with:
Travis Bessell Australia
Brian Degnan United States
Muhammad Iram Baig Pakistan
Behzad Mozaffari Tazehkand Iran
Xudong Xie China
Junseok Kim South Korea
Shengyang Sun China
Ignacio Alzugaray Switzerland
Chen Meng China
Ashwin Sanjay Lele United States
Chit-Kwan Lin relative to Travis Bessell Australia Travis Bessell's profile →
Citations per field
00.5×4.7×
Travis Bessell · 1×
Citations per year

Countries citing papers authored by Chit-Kwan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chit-Kwan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Chit-Kwan 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 Chit-Kwan Lin Line = papers co-authored together Chit-Kwan Lin links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201891
2 200942
3 201237
4 201035
5 201821
6 201820
7 201120
8 201111
9 200811
10 20109
11 20197
12
Mobile app acceleration via fine-grain offloading to the cloud
20147
13 20105
14 20092
15 20082

About Chit-Kwan Lin

Chit-Kwan Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Cognitive Neuroscience, Hardware and Architecture and Aerospace Engineering, having authored 15 papers that have together received 320 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (4 papers), Advanced Memory and Neural Computing (4 papers), Mobile Ad Hoc Networks (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Neural dynamics and brain function (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (112 citations), Electrical and Electronic Engineering (245 citations), Cognitive Neuroscience (52 citations), Ocean Engineering (43 citations) and Aerospace Engineering (60 citations). Chit-Kwan Lin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include H. T. Kung, Tsung-Han Lin, Dario Vlah, Gautham N. Chinya, Mike Davies, Andreas Wild, Hong Wang, Yongqiang Cao, Daniel M. Lavery and Youngjune Gwon. Their work appears in journals such as Computer, ACM SIGPLAN Notices and Digital Access to Scholarship at Harvard (DASH) (Harvard University).

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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