Ki Lui

947 citations
42 papers · 721 · h-index 14

Impact in

Papers in

Ki Lui

39 papers receiving 703 citations

Peers

Ki Lui
Comparison fields: 5 of 113
  • Computer Networks and Communications 200
  • Clinical Biochemistry 42
  • Cancer Research 56
  • Molecular Biology 252
  • Electrical and Electronic Engineering 194
Replace Vasilis Ntranos with:
Vasilis Ntranos United States
Christine Chan United States
Linchuan Li China
Richa Batra Germany
Yu Kawano Japan
Ming Feng China
Zhao Da China
Weiyuan Li China
Miloš Nikolić Germany
Ki Lui relative to Vasilis Ntranos United States Vasilis Ntranos's profile →
Citations per field
00.5×3.2×
Vasilis Ntranos · 1×
Citations per year

Countries citing papers authored by Ki Lui

Since Specialization
Citations

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

Fields of papers citing papers by Ki Lui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012101
2 201062
3 201155
4 200452
5 201242
6 200739
7 201537
8 200933
9 200932
10 200429
11 200628
12 200826
13 201324
14 200613
15 201713
16 200912
17 200712
18 201611
19 201910
20 20039

About Ki Lui

Ki Lui is a scholar working on Computer Networks and Communications, Molecular Biology, Electrical and Electronic Engineering, Oncology and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 721 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (6 papers), Advanced Optical Network Technologies (5 papers), Innovative Teaching Methods (4 papers), Retinoids in leukemia and cellular processes (4 papers), Estrogen and related hormone effects (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Experimental Learning in Engineering (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (200 citations), Clinical Biochemistry (42 citations), Cancer Research (56 citations), Molecular Biology (252 citations) and Electrical and Electronic Engineering (194 citations). Ki Lui has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include M. Saeed Sheikh, Ying Huang, Edmund Y. Lam, Jingxue Shi, Jie An, Philip W. T. Pong, Qin He, Yuxin Liu, Shiuan Chen and Dujin Zhou. Their work appears in journals such as International Journal of Mobile Learning and Organisation, The Prostate, Journal of Biological Chemistry, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Consumer Electronics.

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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