Kazuaki Nakane

406 total citations
33 papers, 269 citations indexed

About

Kazuaki Nakane is a scholar working on Computational Theory and Mathematics, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kazuaki Nakane has authored 33 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Mechanical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kazuaki Nakane's work include AI in cancer detection (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Medical Image Segmentation Techniques (3 papers). Kazuaki Nakane is often cited by papers focused on AI in cancer detection (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Medical Image Segmentation Techniques (3 papers). Kazuaki Nakane collaborates with scholars based in Japan, United States and Brazil. Kazuaki Nakane's co-authors include Mizuho Nishio, Nariaki Matsuura∥, Naoe Jimbo, Katsuyuki Kida, Koshiro Mizobe, Yasunari Tsuchihashi, Yee‐Wah Tsang, Nasir Rajpoot, Korsuk Sirinukunwattana and Talha Qaiser and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience.

In The Last Decade

Kazuaki Nakane

30 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuaki Nakane Japan 9 125 95 66 44 44 33 269
Parisa Movahedi Finland 8 119 1.0× 65 0.7× 89 1.3× 22 0.5× 11 0.3× 15 326
Jiquan Ma China 10 141 1.1× 113 1.2× 28 0.4× 117 2.7× 9 0.2× 36 330
Shizuo Kaji Japan 9 157 1.3× 71 0.7× 74 1.1× 99 2.3× 8 0.2× 40 377
Tao Tan China 12 170 1.4× 161 1.7× 62 0.9× 87 2.0× 5 0.1× 55 403
Shengtian Sang United States 11 105 0.8× 82 0.9× 50 0.8× 37 0.8× 36 0.8× 26 336
Marek Wodziński Poland 12 163 1.3× 193 2.0× 46 0.7× 81 1.8× 22 0.5× 48 469
Azam Hamidinekoo United Kingdom 5 180 1.4× 200 2.1× 31 0.5× 61 1.4× 5 0.1× 13 276
Sébastien Jodogne Belgium 10 217 1.7× 91 1.0× 94 1.4× 45 1.0× 19 0.4× 32 508
Eleftherios Trivizakis Greece 9 267 2.1× 191 2.0× 56 0.8× 50 1.1× 5 0.1× 16 389

Countries citing papers authored by Kazuaki Nakane

Since Specialization
Citations

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

Fields of papers citing papers by Kazuaki Nakane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuaki Nakane

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuaki Nakane. A scholar is included among the top collaborators of Kazuaki Nakane 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 Kazuaki Nakane. Kazuaki Nakane 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.
Yokoyama, Yuhki, Kazuki Kanayama, Sachiko Nagumo, et al.. (2023). A quantitative evaluation method utilizing the homology concept to assess the state of chromatin within the nucleus of lung cancer. Scientific Reports. 13(1). 19585–19585.
2.
Yamada, Reiko, Kazuaki Nakane, Noriyuki Kadoya, et al.. (2022). Development of “Mathematical Technology for Cytopathology,” an Image Analysis Algorithm for Pancreatic Cancer. Diagnostics. 12(5). 1149–1149. 3 indexed citations
3.
Nishio, Mizuho, et al.. (2021). Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue. Cancers. 13(6). 1192–1192. 65 indexed citations
4.
Yan, Chaoyang, Kazuaki Nakane, Xiangxue Wang, et al.. (2020). Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Computer Methods and Programs in Biomedicine. 194. 105528–105528. 12 indexed citations
5.
Kadoya, Noriyuki, Shohei Tanaka, Tomohiro Kajikawa, et al.. (2020). Homology‐based radiomic features for prediction of the prognosis of lung cancer based on CT‐based radiomics. Medical Physics. 47(5). 2197–2205. 24 indexed citations
6.
Nishio, Mizuho, et al.. (2017). Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region. PLoS ONE. 12(5). e0178217–e0178217. 9 indexed citations
7.
Morii, Eiichi, et al.. (2017). Homology analysis detects topological changes of Iba1 localization accompanied by microglial activation. Neuroscience. 346. 43–51. 6 indexed citations
8.
Nishio, Mizuho, Kazuaki Nakane, & Yutaka Tanaka. (2016). Application of the homology method for quantification of low-attenuation lung region in patients with and without COPD. International Journal of COPD. Volume 11. 2125–2137. 10 indexed citations
9.
Qaiser, Talha, et al.. (2016). Persistent Homology for Fast Tumor Segmentation in Whole Slide Histology Images. Procedia Computer Science. 90. 119–124. 39 indexed citations
10.
Nakane, Kazuaki, et al.. (2015). Homology-based method for detecting regions of interest in colonic digital images. Diagnostic Pathology. 10(1). 36–36. 20 indexed citations
11.
Nakane, Kazuaki, et al.. (2015). An Image Analyzing Method by a Homology Concept for Fracture Surfaces. Advanced materials research. 1102. 135–138. 1 indexed citations
12.
Nakane, Kazuaki, E.C. Santos, Takashi Honda, Koshiro Mizobe, & Katsuyuki Kida. (2014). Homology analysis of structures of high carbon bearing steel: effect of repeated quenching on prior austenite grain size. Materials Research Innovations. 18(sup1). S1–33. 10 indexed citations
13.
Kida, Katsuyuki, et al.. (2014). The Betti Number of Prior Austenite Structure of Repeated Quenching Bearing Steels (JIS, SUJ2). Advanced materials research. 1082. 191–196. 2 indexed citations
14.
Nakane, Kazuaki, Koshiro Mizobe, & Katsuyuki Kida. (2013). Homology Estimate of Grain Size Measurement Based on the JIS Samples. Advanced materials research. 813. 120–123. 5 indexed citations
15.
Nakane, Kazuaki, Yasunari Tsuchihashi, & Nariaki Matsuura∥. (2013). A simple mathematical model utilizing topological invariants for automatic detection of tumor areas in digital tissue images. Diagnostic Pathology. 8(S1). 24 indexed citations
16.
Nakane, Kazuaki, Takashi Honda, Edson Costa Santos, & Katsuyuki Kida. (2012). Homology Applied to Characterization of Welded Grain Structures in Low Carbon Steel. Advanced materials research. 566. 399–405. 1 indexed citations
17.
Iwasaki, Hiroshi, et al.. (2003). A Numerical Computation to the American Option Pricing via the Discrete Morse Flow. Theoretical and applied mechanics Japan. 52. 261–266. 1 indexed citations
18.
Nakane, Kazuaki, et al.. (2003). Global solutions to a one-dimensional hyperbolic free boundary problem which arises in peeling phenomena. Journal of Computational and Applied Mathematics. 152(1-2). 367–375. 1 indexed citations
19.
Nagasawa, Takeyuki, et al.. (2002). Numerical computations for motion of vortices governed by a hyperbolic Ginzburg–Landau system. Nonlinear Analysis. 51(1). 67–77.
20.
Nakane, Kazuaki. (2001). Global existence of solutions to a one-dimensional free boundary problem of hyperbolic type. Proceedings of the Japan Academy Series A Mathematical Sciences. 77(7). 3 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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