Ki Lui

957 citations
42 papers · 754 · h-index 14

Impact in

Papers in

Ki Lui

40 papers receiving 734 citations

Peers

Ki Lui
Comparison fields: 5 of 118
  • Computer Networks and Communications 213
  • Clinical Biochemistry 44
  • Molecular Biology 239
  • Electrical and Electronic Engineering 203
  • Cancer Research 47
Replace Vasilis Ntranos with:
Vasilis Ntranos United States
Yu Kawano Japan
Weiyuan Li China
Linchuan Li China
Cheng‐Han Lin Taiwan
Pengfei Liu China
Jinmei Lai China
Pin Wan China
Ki Lui relative to Vasilis Ntranos United States Vasilis Ntranos's profile →
Citations per field
00.5×4.4×
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 2012106
2 201066
3 201158
4 200457
5 201243
6 200739
7 201537
8 200934
9 200932
10 200430
11 200628
12 200827
13 201324
14 201714
15 200913
16 200613
17 201913
18 200713
19 201611
20 200810

About Ki Lui

Ki Lui is a scholar working on Computer Networks and Communications, Molecular Biology, Electrical and Electronic Engineering, Oncology and Media Technology, having authored 42 papers that have together received 754 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (6 papers), Advanced Optical Network Technologies (5 papers), Retinoids in leukemia and cellular processes (4 papers), Experimental Learning in Engineering (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Innovative Teaching Methods (4 papers), Estrogen and related hormone effects (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Computer Networks and Communications (213 citations), Clinical Biochemistry (44 citations), Molecular Biology (239 citations), Electrical and Electronic Engineering (203 citations) and Cancer Research (47 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, Yuxin Liu, Qin He, Shiuan Chen and Klara Nahrstedt. Their work appears in journals such as International Journal of Mobile Learning and Organisation, Journal of Biological Chemistry, The Prostate, IEEE Journal on Selected Areas in Communications and Computer Networks.

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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