Jack Liu

549 citations
28 papers · 372 · h-index 7

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Real-Time Systems Scheduling
    • Multiple Myeloma Research and Treatments

Papers in

Jack Liu

25 papers receiving 356 citations

Peers

Jack Liu
Comparison fields: 5 of 78
  • Hardware and Architecture 92
  • Hematology 45
  • Pulmonary and Respiratory Medicine 89
  • Pharmaceutical Science 17
  • Computer Networks and Communications 53
Replace Chenhui Deng with:
Chenhui Deng China
Yichao Wang China
King Lee United States
Mehmet Deveci Türkiye
J. Sawada Japan
Theodore C. Goldstein United States
Marie McIlroy Ireland
Miki Tanaka Japan
Dongxu Li China
Simon Lam United Kingdom
Jack Liu relative to Chenhui Deng China Chenhui Deng's profile →
Citations per field
00.5×8.5×
Chenhui Deng · 1×
Citations per year

Countries citing papers authored by Jack Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jack Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200087
2 200886
3 202071
4 200025
5 202020
6 201220
7 202419
8 20026
9 20114
10 20024
11 20233
12 20143
13 20063
14 20003
15 20173
16 20102
17 20242
18 20072
19 20102
20 20251

About Jack Liu

Jack Liu is a scholar working on Pulmonary and Respiratory Medicine, Hardware and Architecture, Computer Networks and Communications, Surgery and Molecular Biology, having authored 28 papers that have together received 372 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Renal cell carcinoma treatment (4 papers), Embedded Systems Design Techniques (4 papers), Hernia repair and management (2 papers), Semiconductor materials and devices (2 papers), Advanced Data Storage Technologies (2 papers), Distributed and Parallel Computing Systems (2 papers) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Hardware and Architecture (92 citations), Hematology (45 citations), Pulmonary and Respiratory Medicine (89 citations), Pharmaceutical Science (17 citations) and Computer Networks and Communications (53 citations). Jack Liu has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Kent Wilken, Sunil Sudarshan, W. Marston Linehan, Peter A. Pinto, Aaron D. Johnson, Gennady Bratslavsky, Xiao‐Jun Huang, Jingnan Feng, Jin Lu and Jinxi Wang. Their work appears in journals such as The Journal of Urology, Journal of Laparoendoscopic & Advanced Surgical Techniques, Frontiers in Pharmacology, ACM SIGPLAN Notices and Molecular Genetics and Metabolism.

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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