H. Aso

1.0k citations
43 papers · 782 · h-index 14

Impact in

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Pulmonary Hypertension Research and Treatments
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Handwritten Text Recognition Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image Processing and 3D Reconstruction

Papers in

H. Aso

40 papers receiving 752 citations

Peers

H. Aso
Comparison fields: 5 of 109
  • Pulmonary and Respiratory Medicine 297
  • Computer Vision and Pattern Recognition 177
  • Sensory Systems 33
  • Media Technology 43
  • Physiology 21
Replace Mai Kimura with:
Mai Kimura Japan
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Ahmed Hamad Egypt
Fuhua Chen United States
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H. Aso relative to Mai Kimura Japan Mai Kimura's profile →
Citations per field
00.5×2×4×6.6×
Mai Kimura · 1×
Citations per year

Countries citing papers authored by H. Aso

Since Specialization
Citations

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

Fields of papers citing papers by H. Aso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012166
2 1999147
3 201445
4 201244
5 201641
6 201440
7 201236
8 201135
9 201628
10 201126
11 201620
12 201317
13 201615
14 201015
15 200012
16 20019
17 20157
18 20027
19 20006
20 20026

About H. Aso

H. Aso is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Artificial Intelligence, Physiology and Pharmacology, having authored 43 papers that have together received 782 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (13 papers), Handwritten Text Recognition Techniques (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Image Processing and 3D Reconstruction (4 papers), Image and Object Detection Techniques (3 papers), Asthma and respiratory diseases (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (297 citations), Computer Vision and Pattern Recognition (177 citations), Sensory Systems (33 citations), Media Technology (43 citations) and Physiology (21 citations). H. Aso has collaborated with scholars based in Japan, France and South Korea. Frequent co-authors include Yoshinori Hasegawa, Shinichiro Omachi, Masashi Kondo, Satoru Ito, Nei Kato, Masato Suzuki, Y. Nemoto, Tomoki Kimura, Hiroyuki Taniguchi and Kensuke Kataoka. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Respiration, American Journal of Respiratory Cell and Molecular Biology, SpringerPlus and Biochemical and Biophysical Research Communications.

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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