Akira Furukawa

2.9k total citations
117 papers, 1.8k citations indexed

About

Akira Furukawa is a scholar working on Surgery, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Akira Furukawa has authored 117 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 23 papers in Computer Vision and Pattern Recognition and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Akira Furukawa's work include Medical Image Segmentation Techniques (19 papers), Diverticular Disease and Complications (12 papers) and AI in cancer detection (11 papers). Akira Furukawa is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Diverticular Disease and Complications (12 papers) and AI in cancer detection (11 papers). Akira Furukawa collaborates with scholars based in Japan, China and Iran. Akira Furukawa's co-authors include Kiyoshi Murata, Shuzo Kanasaki, Masashi Takahashi, Toyohiko Tanaka, Makoto Wakamiya, Norihisa Nitta, Michio Yamasaki, Naoaki Kono, Isamu Hayata and Tsutomu Sakamoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Akira Furukawa

110 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akira Furukawa Japan 24 952 555 319 291 137 117 1.8k
Kai S. Lehmann Germany 22 841 0.9× 287 0.5× 197 0.6× 305 1.0× 54 0.4× 106 1.5k
Alexandra Platon Switzerland 25 841 0.9× 528 1.0× 769 2.4× 489 1.7× 39 0.3× 86 2.1k
Philipp Peloschek Austria 19 450 0.5× 165 0.3× 140 0.4× 64 0.2× 29 0.2× 53 1.0k
Junji Machi United States 29 847 0.9× 704 1.3× 622 1.9× 85 0.3× 43 0.3× 97 2.3k
Clifford R. Weiss United States 25 921 1.0× 606 1.1× 656 2.1× 57 0.2× 31 0.2× 196 2.2k
Scott Fields Israel 19 399 0.4× 357 0.6× 460 1.4× 106 0.4× 15 0.1× 63 1.4k
Arda Kayhan Türkiye 20 481 0.5× 502 0.9× 784 2.5× 113 0.4× 19 0.1× 68 1.6k
Giuseppe Quero Italy 19 805 0.8× 360 0.6× 79 0.2× 77 0.3× 199 1.5× 125 1.3k
Salah D. Qanadli Switzerland 30 1.1k 1.1× 1.1k 2.0× 785 2.5× 143 0.5× 16 0.1× 221 3.5k
Boris Jansen‐Winkeln Germany 20 634 0.7× 225 0.4× 507 1.6× 111 0.4× 63 0.5× 90 1.3k

Countries citing papers authored by Akira Furukawa

Since Specialization
Citations

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

Fields of papers citing papers by Akira Furukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Furukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Furukawa. A scholar is included among the top collaborators of Akira Furukawa 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 Akira Furukawa. Akira Furukawa 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.
Li, He, Yutaro Iwamoto, Xian‐Hua Han, et al.. (2023). 3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. IEICE Transactions on Information and Systems. E106.D(5). 1027–1037. 1 indexed citations
2.
Huang, Huimin, Qingqing Chen, Lanfen Lin, et al.. (2022). MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. IEEE Journal of Biomedical and Health Informatics. 26(8). 3988–3998. 15 indexed citations
3.
Furukawa, Akira, Ayako Taniguchi, Yen‐Wei Chen, et al.. (2017). Computerized Assessment of Small Bowel Motility Function Using Cine-MR Imaging : Preliminary Results in Super-Pixel Segmental Method. 71(3). 88–96. 2 indexed citations
4.
Taniguchi, Ayako, et al.. (2013). Automated Assessment of Small Bowel Motility Function Based on Inter-frame Difference. IEICE technical report. Speech. 113(64). 25–30. 2 indexed citations
5.
Chen, Yen‐Wei, Jie Luo, Tomoko Tateyama, et al.. (2012). Statistical shape model of the liver and effective mode selection for classification of liver cirrhosis. 449–452. 1 indexed citations
6.
Tateyama, Tomoko, Xian‐Hua Han, Shuzo Kanasaki, et al.. (2012). Shape representation of human anatomy using spherical harmonic basis function. 866–869. 1 indexed citations
7.
Furukawa, Akira, Yen‐Wei Chen, Shuzo Kanasaki, et al.. (2012). MR imaging in gastrointestinal tracts: Static and dynamic assessment. 444–448. 4 indexed citations
8.
Furukawa, Akira, Shuzo Kanasaki, Makoto Wakamiya, et al.. (2012). Cross-sectional imaging of the bowel. 934–938. 2 indexed citations
9.
Tateyama, Tomoko, Akira Furukawa, Shuzo Kanasaki, et al.. (2011). Evaluation of Statistical Shape Model Based Classification Performance for Liver Disease of Cirrhosis. IEICE Technical Report; IEICE Tech. Rep.. 110(381). 27–32. 1 indexed citations
10.
Furukawa, Akira, Shuzo Kanasaki, Makoto Wakamiya, et al.. (2010). Detection of the small bowel motility with cine-MRI sequence (医用画像). IEICE Technical Report; IEICE Tech. Rep.. 109(407). 373–377. 2 indexed citations
11.
Foruzan, Amir Hossein, et al.. (2010). Application of statistical shape model to diagnosis of liver disease. International Conference on Software Engineering. 110(28). 31–36. 5 indexed citations
12.
Chen, Yen‐Wei, Tomoko Tateyama, Amir Hossein Foruzan, et al.. (2010). Statistical atlases of human anatomy and computer assisted diagnostic system. International Conference on Software Engineering. 700–705. 1 indexed citations
13.
Foruzan, Amir Hossein, et al.. (2009). Segmentation of liver in low-contrast images using K-means clustering and a priori knowledge (医用画像). IEICE Technical Report; IEICE Tech. Rep.. 109(65). 95–100. 1 indexed citations
14.
Chen, Yen‐Wei, Shensheng Zhang, Akira Furukawa, et al.. (2009). A semi-automated detection for motility of small bowel with MRI sequence (医用画像). IEICE Technical Report; IEICE Tech. Rep.. 109(65). 101–105. 2 indexed citations
15.
Mofrad, Farshid Babapour, et al.. (2009). A novel automatic liver surface registration method using spherical harmonics (医用画像). 109(63). 29–34. 2 indexed citations
16.
Tanaka, Toyohiko, Akira Furukawa, Norihisa Nitta, et al.. (2005). Investigation of Usefulness of and Complications with Transanal Decompression using a Drainage Tube for Acute Malignant Colonic Obstruction. 25(3). 499–504. 1 indexed citations
17.
Furukawa, Akira, et al.. (2004). High-power single-mode VCSELs with triangular holey structure. Conference on Lasers and Electro-Optics. 2. 1024–1025. 1 indexed citations
18.
Suzuki, Keisuke, et al.. (2002). Low-Loss, Polarization-Independent Silicon-Oxynitride Waveguides for High-Density Integrated Planar Lightwave Circuits. European Conference on Optical Communication. 2. 1–2. 5 indexed citations
19.
Murata, Kiyoshi, et al.. (1999). [CT findings of pulmonary infections].. PubMed. 59(8). 371–9. 2 indexed citations
20.
Yamamoto, Hiroshi & Akira Furukawa. (1998). Estimation of Graduates from Colleges of Technology in a General Engineering Company. Nihon Kikai Gakkaishi/Journal of the Japan Society of Mechanical Engineers. 101(960). 799–800. 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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