Will Liu

414 citations
10 papers · 309 · h-index 6

Impact in

    • International Student and Expatriate Challenges
    • Cultural Differences and Values
    • Counseling Practices and Supervision

Papers in

Will Liu

8 papers receiving 262 citations

Peers

Will Liu
Comparison fields: 5 of 54
  • Communication 71
  • Social Psychology 114
  • Gender Studies 47
  • Education 98
  • Architecture 4
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
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Citations per field
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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-authors

The 21 scholars most cited alongside Will Liu, 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 Will Liu Line = papers co-authored together Will Liu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1999237
2 199932
3
Service Function Chaining (SFC) General Use Cases
201415
4
An Intent-driven Management Framework
20199
5
Service Function Chaining Use Cases
20139
6
SUPA Policy-based Management Framework
20175
7
Transmission and Processing of IPv6 Options
20151
8
Problem statement for centralized address management
20161
9
Gap Analysis for IPv4 Sunset
20170
10
Deprecating the Generation of IPv6 Atomic Fragments
20140

About Will Liu

Will Liu is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Sociology and Political Science and Artificial Intelligence, having authored 10 papers that have together received 309 indexed citations. Recurring topics across this work include IPv6, Mobility, Handover, Networks, Security (3 papers), Service-Oriented Architecture and Web Services (3 papers), Software System Performance and Reliability (2 papers), Gender Roles and Identity Studies (1 paper), Software-Defined Networks and 5G (1 paper), Network Security and Intrusion Detection (1 paper), Advanced Software Engineering Methodologies (1 paper) and Academic and Historical Perspectives in Psychology (1 paper). The work is most often cited by research in Communication (71 citations), Social Psychology (114 citations), Gender Studies (47 citations), Education (98 citations) and Architecture (4 citations). Will Liu has collaborated with scholars based in United States. Frequent co-authors include Pegah Touradji, Charles J. Gelso, Marie L. Miville, Jairo N. Fuertes, Kun Xie, Mohamed Boucadair, Georgios Karagiannis, Peng He, Hongyu Li and Fu Qiao. 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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