Will Liu

414 citations
10 papers · 309 indexed · h-index 6
Topics
Service-Oriented Architecture and Web Services (3 papers)IPv6, Mobility, Handover, Networks, Security (3 papers)Software System Performance and Reliability (2 papers)
Partner nations
United States

In The Last Decade

Will Liu

8 papers receiving 262 citations

Peers

Will Liu
Comparison fields: 5 of 54
  • Social Psychology 114
  • Education 98
  • Sociology and Political Science 95
  • Communication 71
  • Gender Studies 47
Replace Keol Lim with:
Keol Lim South Korea
Amparo Lasén Spain
Ylva Hård af Segerstad Sweden
Olga Belikov United States
Diane Carr United Kingdom
Leslie Moller United States
Camille Johnson-Yale United States
Paul Raffeld United States
Tracy Kennedy Canada
Cathy Bishop‐Clark United States
Will Liu relative to Keol Lim South Korea Keol Lim's profile →
Citations per field
00.5×3.3×
Keol Lim · 1×
Citations per year

Countries citing papers authored by Will Liu

Since Specialization
Citations

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

Fields of papers citing papers by Will Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Will Liu. A scholar is included among the top collaborators of Will Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Will Liu. Will Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1
An Intent-driven Management Framework
9
2
Gap Analysis for IPv4 Sunset
0
3
SUPA Policy-based Management Framework
5
4
Problem statement for centralized address management
1
5
Transmission and Processing of IPv6 Options
1
6
Service Function Chaining (SFC) General Use Cases
15
7
Deprecating the Generation of IPv6 Atomic Fragments
0
8
Service Function Chaining Use Cases
9
9 237
10 32

About Will Liu

Will Liu is a scholar working on General Psychology, Information Systems and Computer Networks and Communications, having authored 10 papers that have together received 309 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (3 papers), IPv6, Mobility, Handover, Networks, Security (3 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Communication (71 citations), Social Psychology (114 citations) and Gender Studies (47 citations). Will Liu has collaborated with scholars based in United States. Frequent co-authors include Charles J. Gelso, Pegah Touradji, Marie L. Miville, Jairo N. Fuertes, Mohamed Boucadair, Kun Xie, Jun Bi, Fu Qiao, Jie Hu and Zhen‐Bo Cao. Their work appears in journals such as Journal of Counseling Psychology.

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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