Chihiro Ono

790 citations
58 papers · 390 · h-index 9

Impact in

    • Sentiment Analysis and Opinion Mining
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection

Papers in

Chihiro Ono

50 papers receiving 362 citations

Peers

Chihiro Ono
Comparison fields: 5 of 90
  • Artificial Intelligence 112
  • Oncology 79
  • Statistical and Nonlinear Physics 33
  • Communication 17
  • Information Systems 50
Replace Cristina Ribeiro with:
Cristina Ribeiro Portugal
Mihai Géorgescu Romania
Ke Chen China
Miloš Kudělka Czechia
Han Liu China
Andrea Varga United Kingdom
Jinxue Zhang China
Weiling Chen China
Zhen Guo China
Fabio Massimo Zanzotto Italy
Chihiro Ono relative to Cristina Ribeiro Portugal Cristina Ribeiro's profile →
Citations per field
00.5×3.3×
Cristina Ribeiro · 1×
Citations per year

Countries citing papers authored by Chihiro Ono

Since Specialization
Citations

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

Fields of papers citing papers by Chihiro Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013101
2 200277
3 201630
4 199116
5 200314
6 202313
7 201212
8 202211
9 20118
10 20187
11 20227
12 20037
13 20047
14
A Fundamental Study on a Indoor localization method using BLE signals and PDR for a smart phone -- Sharing results of exmeriments in Open Beacon Field Trial
20146
15 20245
16 19835
17 20135
18 20224
19 20134
20 20123

About Chihiro Ono

Chihiro Ono is a scholar working on Computer Networks and Communications, Artificial Intelligence, Surgery, Information Systems and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 390 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Video Analysis and Summarization (4 papers), Mobile Agent-Based Network Management (4 papers), Human Mobility and Location-Based Analysis (4 papers), Web Data Mining and Analysis (4 papers), Text and Document Classification Technologies (3 papers), Consumer Market Behavior and Pricing (3 papers) and Celiac Disease Research and Management (3 papers). The work is most often cited by research in Artificial Intelligence (112 citations), Oncology (79 citations), Statistical and Nonlinear Physics (33 citations), Communication (17 citations) and Information Systems (50 citations). Chihiro Ono has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Gen Hattori, Kazushi Ikeda, Hideki Asoh, Teruo Higashino, Keigo Yoshinaga, Kenichi Sugihara, Masayuki Enomoto, Kazunori Matsumoto, Yujin Tang and Jianfeng Xu. Their work appears in journals such as Frontiers in Immunology, Diseases of the Colon & Rectum, Knowledge-Based Systems, Intermetallics and Frontiers in Nutrition.

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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