Kota Aoyagi

421 total citations
21 papers, 288 citations indexed

About

Kota Aoyagi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Kota Aoyagi has authored 21 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Kota Aoyagi's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (10 papers) and Medical Imaging Techniques and Applications (7 papers). Kota Aoyagi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Lung Cancer Diagnosis and Treatment (10 papers) and Medical Imaging Techniques and Applications (7 papers). Kota Aoyagi collaborates with scholars based in Japan and United States. Kota Aoyagi's co-authors include Yoshiharu Ohno, Takeshi Yoshikawa, Hisanobu Koyama, Masao Yui, Daisuke Takenaka, Shinichiro Seki, Kazuro Sugimura, Hitoshi Yamagata, Yuji Kishida and Naoki Sugihara and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Radiology and The Journal of the Acoustical Society of America.

In The Last Decade

Kota Aoyagi

20 papers receiving 284 citations

Peers

Countries citing papers authored by Kota Aoyagi

Since Specialization

Citations

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

Fields of papers citing papers by Kota Aoyagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kota Aoyagi

This figure shows the co-authorship network connecting the top 25 collaborators of Kota Aoyagi. A scholar is included among the top collaborators of Kota Aoyagi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kota Aoyagi. Kota Aoyagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Lung stress mapping: an innovative technology to visualize the hidden risk of ventilator-induced lung injury 2026 ·American Journal of Respiratory and Critical Care Medicine ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Yukiko Koyama, (unknown), Kota Aoyagi, Masahiro Yanagawa, (unknown), (unknown), (unknown)	0
2	Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study 2024 ·Radiology ·Akinori Hata, Kota Aoyagi, Takuya Hino, (unknown), Noriaki Wada, (unknown), Xinan Wang, Vladimir I. Valtchinov, Mizuki Nishino, (unknown), (unknown), (unknown), (unknown), (unknown), Gary M. Hunninghake, Noriyuki Tomiyama, Yi Li, David C. Christiani, Hiroto Hatabu	4
3	Machine learning-based computer-aided simple triage (CAST) for COVID-19 pneumonia as compared with triage by board-certified chest radiologists 2023 ·Japanese Journal of Radiology ·Yoshiharu Ohno, Takatoshi Aoki, Masahiro Endo, Hisanobu Koyama, Hiroshi Moriya, Fumito Okada, Takanori Higashino, Haruka Sato, Noriko Oyama‐Manabe, (unknown), Kazumasa Arakita, Kota Aoyagi, Yoshihiro Ikeda, (unknown), (unknown), Naoki Sugihara	1
4	Adrenomedullin 2 and 5 activate the calcitonin receptor-like receptor (clr) – Receptor activity-modifying protein 3 (ramp3) receptor complex in Xenopus tropicalis 2021 ·General and Comparative Endocrinology ·Maho Ogoshi, (unknown), Kota Aoyagi, Kazuyoshi Ukena, Sayaka Aizawa, Hideaki Takeuchi, Sumio Takahashi, Sakae Takeuchi	2
5	Small Cell Lung Cancer Staging: Prospective Comparison of Conventional Staging Tests, FDG PET/CT, Whole-Body MRI, and Coregistered FDG PET/MRI 2021 ·American Journal of Roentgenology ·Yoshiharu Ohno, Takeshi Yoshikawa, Daisuke Takenaka, Hisanobu Koyama, Kota Aoyagi, Masao Yui, (unknown), (unknown), (unknown), (unknown), (unknown), Masahiko Nomura, Kazuhiro Murayama, Yoshitaka Inui, (unknown), Hiroshi Toyama	13
6	Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations 2021 ·Acta Radiologica ·Yoshiharu Ohno, Kota Aoyagi, Daisuke Takenaka, Takeshi Yoshikawa, Yasuko Fujisawa, Naoki Sugihara, (unknown), (unknown), Yuki Obama, Takahiro Ueda, (unknown), Kazuhiro Murayama, Hiroshi Toyama	8
7	Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases 2020 ·European Journal of Radiology ·Yoshiharu Ohno, Kota Aoyagi, Daisuke Takenaka, Takeshi Yoshikawa, (unknown), Yasuko Fujisawa, Kazuhiro Murayama, (unknown), Hiroshi Toyama	18
8	Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT 2020 ·Radiology ·Yoshiharu Ohno, Kota Aoyagi, (unknown), Shinichiro Seki, Yoshiko Ueno, Yuji Kishida, Daisuke Takenaka, Takeshi Yoshikawa	22
9	Comparison of Diagnostic Accuracy for TNM Stage Among Whole-Body MRI and Coregistered PET/MRI Using 1.5-T and 3-T MRI Systems and Integrated PET/CT for Non–Small Cell Lung Cancer 2020 ·American Journal of Roentgenology ·Yoshiharu Ohno, Takeshi Yoshikawa, Daisuke Takenaka, Hisanobu Koyama, Kota Aoyagi, Masao Yui	21
10	Alkali Treatment of Commercial Silicoaluminophosphate Molecular Sieves (SAPO<sub>-</sub>34) Enhances the Water Adsorption and Desorption Properties 2019 ·Masahiro Katoh, (unknown), (unknown), Kota Aoyagi, Shigeru Sugiyama	1
11	3D fully convolutional network-based segmentation of lung nodules in CT images with a clinically inspired data synthesis method 2019 ·(unknown), Kota Aoyagi, (unknown), Yoshiharu Ohno	5
12	Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique 2018 ·European Journal of Radiology ·Yoshiharu Ohno, Kota Aoyagi, Qi Chen, Naoki Sugihara, Tae Iwasawa, Fumito Okada, Takatoshi Aoki	12
13	Comparison of Interobserver Agreement and Diagnostic Accuracy for IASLC/ITMIG Thymic Epithelial Tumor Staging Among Co-registered FDG-PET/MRI, Whole-body MRI, Integrated FDG-PET/CT, and Conventional Imaging Examination with and without Contrast Media Administrations 2018 ·Academic Radiology ·Yoshiharu Ohno, Yuji Kishida, Shinichiro Seki, Hisanobu Koyama, Masao Yui, Kota Aoyagi, Takeshi Yoshikawa	12
14	Whole-Body MRI: Comparison of Its Capability for TNM Staging of Malignant Pleural Mesothelioma With That of Coregistered PET/MRI, Integrated FDG PET/CT, and Conventional Imaging 2018 ·American Journal of Roentgenology ·Yoshiharu Ohno, Masao Yui, Kota Aoyagi, Yuji Kishida, Shinichiro Seki, Hisanobu Koyama, Takeshi Yoshikawa	15
15	Diagnostic performance of different imaging modalities in the assessment of distant metastasis and local recurrence of tumor in patients with non‐small cell lung cancer 2017 ·Journal of Magnetic Resonance Imaging ·Yoshiharu Ohno, Takeshi Yoshikawa, Yuji Kishida, Shinichiro Seki, Hisanobu Koyama, Masao Yui, Yoshimori Kassai, Kota Aoyagi, (unknown), Kazuro Sugimura	19
16	Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study 2016 ·European Journal of Radiology ·Yoshiharu Ohno, (unknown), (unknown), Kota Aoyagi, Hitoshi Yamagata, Naoki Sugihara, Hisanobu Koyama, Takeshi Yoshikawa, Kazuro Sugimura	47
17	Three-way Comparison of Whole-Body MR, Coregistered Whole-Body FDG PET/MR, and Integrated Whole-Body FDG PET/CT Imaging: TNM and Stage Assessment Capability for Non–Small Cell Lung Cancer Patients 2015 ·Radiology ·Yoshiharu Ohno, Hisanobu Koyama, Takeshi Yoshikawa, Daisuke Takenaka, Shinichiro Seki, Masao Yui, Hitoshi Yamagata, Kota Aoyagi, Sumiaki Matsumoto, Kazuro Sugimura	54
18	MEDICAL IMAGING APPARATUS, ULTRASONIC IMAGING APPARATUS, MAGNETIC RESONANCE IMAGING APPARATUS, MEDICAL IMAGE PROCESSING APPARATUS, AND MEDICAL IMAGE PROCESSING METHOD 2013 ·The Journal of the Acoustical Society of America ·Kota Aoyagi	2
19	Temperature Dependence of Toluene Decomposition Behavior in the Discharge–Catalyst Hybrid Reactor 2009 ·IEEE Transactions on Industry Applications ·(unknown), Hiroyuki Yasui, Motofumi Tanaka, Shigeru Futamura, Satoru Kurita, Kota Aoyagi	14
20	[Usefulness of 18F-FDG PET for diagnosis of cardiac sarcoidosis]. 1999 ·PubMed ·(unknown), (unknown), Takanori Ueda, Ryotaro Seki, (unknown), Tsutomu Hatori, Hidetaka Sato, Takuji Toyama, Tadashi Suzuki, (unknown), Hironao Otake, Kota Aoyagi, (unknown), K Endo, (unknown)	14

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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