H. Aso

999 citations
42 papers · 715 · h-index 13

Impact in

    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • Pulmonary Hypertension Research and Treatments
    • Chronic Obstructive Pulmonary Disease (COPD) Research
    • Lung Cancer Diagnosis and Treatment
    • Medical Imaging and Pathology Studies
    • Handwritten Text Recognition Techniques
    • Image Retrieval and Classification Techniques

Papers in

H. Aso

39 papers receiving 691 citations

Peers

H. Aso
Comparison fields: 5 of 111
  • Pulmonary and Respiratory Medicine 332
  • Computer Vision and Pattern Recognition 152
  • Sensory Systems 31
  • Physiology 22
  • Physiology 119
Replace Mai Kimura with:
Mai Kimura Japan
Jianbing Zhu China
Fuhua Chen United States
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H. Aso relative to Mai Kimura Japan Mai Kimura's profile →
Citations per field
00.5×7.8×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 1999129
3 201444
4 201240
5 201640
6 201436
7 201135
8 201232
9 201126
10 201624
11 201619
12 201317
13 201014
14 201612
15 20008
16 20018
17 20157
18 20026
19 20026
20
Recognition of rotated patterns using a neocognitron
19995

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 42 papers that have together received 715 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 (5 papers), Image Processing and 3D Reconstruction (4 papers), Asthma and respiratory diseases (3 papers), Advanced Data Compression Techniques (3 papers), Mathematical Dynamics and Fractals (3 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (332 citations), Computer Vision and Pattern Recognition (152 citations), Sensory Systems (31 citations), Physiology (22 citations) and Physiology (119 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, Y. Nemoto, Masato Suzuki, Hiroyuki Taniguchi, Tomoki Kimura and Osamu Nishiyama. 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 Geriatrics and gerontology international.

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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