Jun‐ichi Aoe

959 citations
91 papers · 670 · h-index 14

Impact in

    • Network Packet Processing and Optimization
    • Algorithms and Data Compression
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Topic Modeling
    • Semantic Web and Ontologies

Papers in

Jun‐ichi Aoe

78 papers receiving 621 citations

Peers

Jun‐ichi Aoe
Comparison fields: 5 of 63
  • Hardware and Architecture 146
  • Artificial Intelligence 565
  • Information Systems 263
  • Signal Processing 47
  • Computational Theory and Mathematics 59
Replace Tingwen Liu with:
Tingwen Liu China
Cherif R. Salama Egypt
Seog Park South Korea
Subhash Bhalla Japan
Ken Baclawski United States
Kārlis Čerāns Latvia
Simon Lavington United Kingdom
Esko Nuutila Finland
Wiebren de Jonge Netherlands
Oleg Rokhlenko United States
Jun‐ichi Aoe relative to Tingwen Liu China Tingwen Liu's profile →
Citations per field
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Tingwen Liu · 1×
Citations per year

Countries citing papers authored by Jun‐ichi Aoe

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Aoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichi Aoe. 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 Jun‐ichi Aoe. The network helps show where Jun‐ichi Aoe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199281
2 200749
3 200035
4 200335
5
Computer Algorithms: String Pattern Matching Strategies
199429
6 198424
7 200220
8 200319
9 200519
10 200618
11 200218
12
Computer Algorithms: Key Search Strategies
199116
13
Development of an Agent System for Conversing with Individuals with Dementia
201315
14 201014
15 200712
16 199412
17 200111
18 201411
19 200110
20 200810

About Jun‐ichi Aoe

Jun‐ichi Aoe is a scholar working on Artificial Intelligence, Hardware and Architecture, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 91 papers that have together received 670 indexed citations. Recurring topics across this work include Algorithms and Data Compression (47 papers), Natural Language Processing Techniques (32 papers), Web Data Mining and Analysis (22 papers), Network Packet Processing and Optimization (18 papers), DNA and Biological Computing (17 papers), Advanced Text Analysis Techniques (14 papers), Topic Modeling (14 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Hardware and Architecture (146 citations), Artificial Intelligence (565 citations), Information Systems (263 citations), Signal Processing (47 citations) and Computational Theory and Mathematics (59 citations). Jun‐ichi Aoe has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Masao Fuketa, El-Sayed Atlam, Kazuhiro Morita, Takashi Sato, Masami Shishibori, Ken Morita, Makoto Okada, Kazuhiko Tsuda, Kiyoshi Yasuda and S Kanda. Their work appears in journals such as Information Processing & Management, Information Sciences, Software Practice and Experience, ACM SIGIR Forum and Knowledge and Information Systems.

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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