Wing-Kai Hon

2.2k citations
135 papers · 1.6k · h-index 23

Impact in

Papers in

Wing-Kai Hon

126 papers receiving 1.6k citations

Peers

Wing-Kai Hon
Comparison fields: 5 of 61
  • Artificial Intelligence 1.2k
  • Computer Networks and Communications 175
  • Software 28
  • Hardware and Architecture 37
  • Computational Theory and Mathematics 65
Replace Lambert Meertens with:
Lambert Meertens Netherlands
Funda Ergün United States
David J. Pearce New Zealand
David A. Turner United States
Dag Arne Osvik Switzerland
Deian Stefan United States
Donald Beaver United States
Douglas C. Schmidt United States
Stanley P. Y. Fung United Kingdom
Srinivasa Rao Satti South Korea
Wing-Kai Hon relative to Lambert Meertens Netherlands Lambert Meertens's profile →
Citations per field
00.5×2×4×6×8.3×
Lambert Meertens · 1×
Citations per year

Countries citing papers authored by Wing-Kai Hon

Since Specialization
Citations

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

Fields of papers citing papers by Wing-Kai Hon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing-Kai Hon. 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 Wing-Kai Hon. The network helps show where Wing-Kai Hon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200968
2 200467
3 200765
4 200759
5 200749
6 200848
7 200946
8 201439
9 201137
10 200336
11 201035
12 200534
13 201033
14 200930
15 201028
16 200227
17 200927
18 201027
19
Practical aspects of compressed suffix arrays and FM-index in searching DNA sequences
200425
20 200925

About Wing-Kai Hon

Wing-Kai Hon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering, having authored 135 papers that have together received 1.6k indexed citations. Recurring topics across this work include Algorithms and Data Compression (81 papers), Complexity and Algorithms in Graphs (9 papers), Genomics and Phylogenetic Studies (8 papers), Advanced Graph Theory Research (7 papers), Advanced Database Systems and Queries (7 papers), RNA and protein synthesis mechanisms (4 papers), Mobile Ad Hoc Networks (4 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Networks and Communications (175 citations), Software (28 citations), Hardware and Architecture (37 citations) and Computational Theory and Mathematics (65 citations). Wing-Kai Hon has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Rahul Shah, Jeffrey Scott Vitter, Kunihiko Sadakane, Wing-Kin Ken Sung, Tak‐Wah Lam, Sharma V. Thankachan, Ho-Leung Chan, Ankur Kumar Gupta, Siu Ming Yiu and Eric Lo. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Lecture notes in computer science, Information and Computation and Bioinformatics.

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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