Kunio Doi

21.8k total citations · 2 hit papers
595 papers, 16.3k citations indexed

About

Kunio Doi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Kunio Doi has authored 595 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 235 papers in Radiology, Nuclear Medicine and Imaging, 194 papers in Pulmonary and Respiratory Medicine and 102 papers in Artificial Intelligence. Recurrent topics in Kunio Doi's work include Radiomics and Machine Learning in Medical Imaging (123 papers), Lung Cancer Diagnosis and Treatment (104 papers) and AI in cancer detection (99 papers). Kunio Doi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (123 papers), Lung Cancer Diagnosis and Treatment (104 papers) and AI in cancer detection (99 papers). Kunio Doi collaborates with scholars based in Japan, United States and India. Kunio Doi's co-authors include Heber MacMahon, Maryellen L. Giger, Shigehiko Katsuragawa, Feng Li, Junji Shiraishi, Shusuke Sone, Qiang Li, Koji Uetsuka, Hiroyuki Nakayama and Heang‐Ping Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of Virology.

In The Last Decade

Kunio Doi

579 papers receiving 15.5k citations

Hit Papers

Computer-aided diagnosis in medical imaging: Historical r... 2000 2026 2008 2017 2007 2000 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kunio Doi Japan 59 8.2k 5.6k 4.6k 2.6k 2.1k 595 16.3k
Kenji Suzuki Japan 58 3.5k 0.4× 2.3k 0.4× 2.0k 0.4× 2.0k 0.8× 1.1k 0.5× 529 13.4k
Jeroen van der Laak Netherlands 48 7.2k 0.9× 1.9k 0.3× 7.8k 1.7× 4.1k 1.6× 2.0k 0.9× 207 17.0k
Li Wang China 68 4.9k 0.6× 1.2k 0.2× 2.4k 0.5× 4.8k 1.8× 1.4k 0.7× 828 18.6k
Geert Litjens Netherlands 37 8.4k 1.0× 3.1k 0.6× 7.9k 1.7× 4.4k 1.7× 2.1k 1.0× 101 16.1k
Francesco Ciompi Netherlands 28 6.6k 0.8× 2.1k 0.4× 5.7k 1.2× 3.4k 1.3× 1.8k 0.8× 103 12.6k
Bram van Ginneken Netherlands 80 21.2k 2.6× 8.4k 1.5× 9.2k 2.0× 10.4k 3.9× 4.7k 2.2× 432 34.4k
Jasjit S. Suri United States 61 4.8k 0.6× 4.1k 0.7× 2.2k 0.5× 2.4k 0.9× 2.1k 1.0× 436 15.2k
Michael D. Feldman United States 63 3.2k 0.4× 2.5k 0.4× 3.6k 0.8× 1.9k 0.7× 1.1k 0.5× 276 15.3k
Richard Kinh Gian United States 46 3.9k 0.5× 1.6k 0.3× 1.1k 0.2× 639 0.2× 925 0.4× 217 12.4k
Jiang Liu China 53 5.7k 0.7× 951 0.2× 955 0.2× 3.3k 1.2× 1.6k 0.8× 728 12.7k

Countries citing papers authored by Kunio Doi

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Doi

This figure shows the co-authorship network connecting the top 25 collaborators of Kunio Doi. A scholar is included among the top collaborators of Kunio Doi 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 Kunio Doi. Kunio Doi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nagashima, Hiroyuki, et al.. (2010). Computerized Scheme for Automated Adjustment of Display Grayscale in Brain Diffusion-Weighted Magnetic Resonance Images Based on Density Histogram Analysis. The Journal of The Institute of Image Information and Television Engineers. 64(6). 874–880. 1 indexed citations
2.
Nakayama, Ryohei, Hiroyuki Abé, Junji Shiraishi, & Kunio Doi. (2010). Evaluation of Objective Similarity Measures for Selecting Similar Images of Mammographic Lesions. Journal of Digital Imaging. 24(1). 75–85. 8 indexed citations
3.
Ishikawa, Seiji, et al.. (2008). A Method for Reducing of Subtraction Artifacts in Temporal Subtraction Image Based on Voxel Matching Method. IEICE Technical Report; IEICE Tech. Rep.. 107(461). 281–284. 2 indexed citations
4.
Shiraishi, Junji, Qiang Li, Kenji Suzuki, Roger Engelmann, & Kunio Doi. (2006). Computer‐aided diagnostic scheme for the detection of lung nodules on chest radiographs: Localized search method based on anatomical classification. Medical Physics. 33(7Part1). 2642–2653. 55 indexed citations
5.
Morishita, Junji, et al.. (2003). Development of an Automated Patient-recognition Method for Digital Chest Radiographs Using Edge-enhanced Images (Originals). Japanese Journal of Radiological Technology. 59(10). 1277–1284. 8 indexed citations
6.
Shiraishi, Junji, et al.. (2001). Estimation of Patient Dose by Using a Digital Imaging System. Japanese Journal of Radiological Technology. 57(7). 860–867. 3 indexed citations
7.
Morishita, Junji, Shigehiko Katsuragawa, & Kunio Doi. (2001). Elimination of False Positives Based on Shape Analysis of Nodule Candidates on Chest Radiographs. Japanese Journal of Radiological Technology. 57(7). 829–836. 2 indexed citations
8.
Morishita, Junji, et al.. (2001). Development of an automated patient identification method based on an image-matching technique of chest radiographs in PACS environment. IEICE technical report. Speech. 101(434). 61–65. 1 indexed citations
9.
Nakamura, Katsumi, Hiroyuki Takahashi, Hiroko Okazaki, et al.. (2000). Clinical Utility of Temporal Subtraction for Detection of Lung Abnormalities on Digital Chest Radiographs. Japanese Journal of Radiological Technology. 56(3). 496–502. 5 indexed citations
10.
Morishita, Junji, Shigehiko Katsuragawa, & Kunio Doi. (2000). Application of Gray-level Run Length Analysis for Computerized Analysis of Interstitial Infiltrates on Chest Radiographs. Japanese Journal of Radiological Technology. 56(3). 384–390. 2 indexed citations
11.
Doi, Kunio. (2000). Computer-aided diagnosis in mammography. 60(2). 14 indexed citations
12.
Oda, Nobuhiro, Shigehiko Katsuragawa, Kunio Doi, et al.. (1999). Improvement in Visibility of Simulated Lung Nodules on Computed Radiography (CR) Chest Images by Use of Temporal Subtraction Technique. Japanese Journal of Radiological Technology. 55(11). 1101–1108. 1 indexed citations
13.
Doi, Kunio, Heber MacMahon, Shigehiko Katsuragawa, Robert M. Nishikawa, & Yulei Jiang. (1999). Computer-aided diagnosis in radiology: potential and pitfalls. European Journal of Radiology. 31(2). 97–109. 162 indexed citations
15.
Doi, Kunio. (1996). Consideration of the Sensitivity and Patient Exposure Obtained with Digital X-ray Imaging System. Japanese Journal of Radiological Technology. 52(11). 1573–1577. 2 indexed citations
16.
Doi, Kunio, et al.. (1995). Recent Progress in Development of Computer-Aided Diagnostic (CAD) Schemes in Radiology. 13(6). 822–835. 4 indexed citations
17.
MacMahon, Heber, Kunio Doi, Heang‐Ping Chan, et al.. (1990). Computer-aided diagnosis in chest radiology. Journal of Thoracic Imaging. 5(1). 67–76. 44 indexed citations
18.
Doi, Kunio, et al.. (1989). FEASIBILITY OF COMPUTER-AIDED DIAGNOSIS IN DIGITAL RADIOGRAPHY. Japanese Journal of Radiological Technology. 45(5). 653–663. 10 indexed citations
19.
Doi, Kunio. (1987). SIGNAL DETECTION IN RADIOGRAPHIC IMAGES AND SIGNIFICANCE OF EYE-BRAIN SYSTEM CHARACTERISTICS. Japanese Journal of Radiological Technology. 43(6). 694–729. 7 indexed citations
20.
Doi, Kunio, et al.. (1983). MTF's and Winer Spectra of Radiographic Screen-Film Systems. Japanese Journal of Radiological Technology. 39(4). 426–447. 1 indexed citations

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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