Tokiya Abe

862 total citations
49 papers, 645 citations indexed

About

Tokiya Abe is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Oncology. According to data from OpenAlex, Tokiya Abe has authored 49 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 8 papers in Oncology. Recurrent topics in Tokiya Abe's work include AI in cancer detection (25 papers), Digital Imaging for Blood Diseases (17 papers) and Image Retrieval and Classification Techniques (7 papers). Tokiya Abe is often cited by papers focused on AI in cancer detection (25 papers), Digital Imaging for Blood Diseases (17 papers) and Image Retrieval and Classification Techniques (7 papers). Tokiya Abe collaborates with scholars based in Japan, United States and Russia. Tokiya Abe's co-authors include Michiie Sakamoto, Masahiro Yamaguchi, Akinori Hashiguchi, Nagaaki Ohyama, Yukako Yagi, Yohei Masugi, Yuri Murakami, Pinky A. Bautista, Minoru Kitago and Akihisa Ueno and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and World Journal of Gastroenterology.

In The Last Decade

Tokiya Abe

49 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tokiya Abe Japan 15 176 166 150 136 115 49 645
Panagiota Ravazoula Greece 18 197 1.1× 176 1.1× 78 0.5× 104 0.8× 39 0.3× 68 890
Benoît Schmauch France 8 126 0.7× 370 2.2× 69 0.5× 82 0.6× 121 1.1× 14 763
Pierre Courtiol France 4 164 0.9× 436 2.6× 70 0.5× 61 0.4× 69 0.6× 7 815
Charlie Saillard France 6 146 0.8× 379 2.3× 51 0.3× 82 0.6× 120 1.0× 12 754
Wei Qiang Leow Singapore 13 200 1.1× 74 0.4× 18 0.1× 248 1.8× 213 1.9× 47 717
Jyoti Kini India 16 69 0.4× 495 3.0× 279 1.9× 95 0.7× 16 0.1× 69 828
Hélène Regnault France 12 170 1.0× 134 0.8× 15 0.1× 182 1.3× 298 2.6× 26 683
Andreas Kleppe Norway 11 368 2.1× 356 2.1× 55 0.4× 44 0.3× 17 0.1× 22 1.0k
Benoît Plancoulaine France 14 184 1.0× 217 1.3× 38 0.3× 38 0.3× 9 0.1× 40 596
Weixun Chen China 17 134 0.8× 19 0.1× 71 0.5× 44 0.3× 58 0.5× 36 749

Countries citing papers authored by Tokiya Abe

Since Specialization
Citations

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

Fields of papers citing papers by Tokiya Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tokiya Abe

This figure shows the co-authorship network connecting the top 25 collaborators of Tokiya Abe. A scholar is included among the top collaborators of Tokiya Abe 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 Tokiya Abe. Tokiya Abe 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.
Ishii, Masatsugu, Osamu Itano, Masahiro Shinoda, et al.. (2020). Pre-hepatectomy type IV collagen 7S predicts post-hepatectomy liver failure and recovery. World Journal of Gastroenterology. 26(7). 725–739. 7 indexed citations
2.
Awazu, Midori, Tokiya Abe, Akinori Hashiguchi, & Mariko Hida. (2019). Maternal undernutrition aggravates renal tubular necrosis and interstitial fibrosis after unilateral ureteral obstruction in male rat offspring. PLoS ONE. 14(9). e0221686–e0221686. 1 indexed citations
3.
Masugi, Yohei, Tokiya Abe, Akihisa Ueno, et al.. (2019). Characterization of spatial distribution of tumor-infiltrating CD8+ T cells refines their prognostic utility for pancreatic cancer survival. Modern Pathology. 32(10). 1495–1507. 73 indexed citations
4.
Fujita, Yusuke, Minoru Kitago, Tokiya Abe, et al.. (2018). Evaluation of Pancreatic Fibrosis With Acoustic Radiation Force Impulse Imaging and Automated Quantification of Pancreatic Tissue Components. Pancreas. 47(10). 1277–1282. 22 indexed citations
5.
Masugi, Yohei, Tokiya Abe, Hanako Tsujikawa, et al.. (2017). Quantitative assessment of liver fibrosis reveals a nonlinear association with fibrosis stage in nonalcoholic fatty liver disease. Hepatology Communications. 2(1). 58–68. 46 indexed citations
6.
Yasui, Yutaka, Tokiya Abe, Masayuki Kurosaki, et al.. (2016). Elastin Fiber Accumulation in Liver Correlates with the Development of Hepatocellular Carcinoma. PLoS ONE. 11(4). e0154558–e0154558. 38 indexed citations
7.
Kanazawa, Hiroshi, Yuri Murakami, Masahiro Yamaguchi, et al.. (2015). Enhancing automatic classification of hepatocellular carcinoma images through image masking, tissue changes and trabecular features. Journal of Pathology Informatics. 6(1). 26–26. 9 indexed citations
8.
Kobayashi, Naoki, Masahiro Ishikawa, Masahiro Yamaguchi, et al.. (2014). High speed algorithm to calculate feature quantities of nuclei graph structures in hepatic histological images. IEICE Technical Report; IEICE Tech. Rep.. 113(410). 239–244. 1 indexed citations
9.
Murakami, Yuri, Tokiya Abe, Yoshiko Yamashita, et al.. (2014). Color processing in pathology image analysis system for liver biopsy. Color and Imaging Conference. 22(1). 184–188. 2 indexed citations
10.
Kobayashi, Naoki, et al.. (2014). A method to extract fat drops from liver biopsy image using machine learning algorithm. IEICE Technical Report; IEICE Tech. Rep.. 113(410). 103–108. 1 indexed citations
11.
Murakami, Yuri, Tokiya Abe, Akinori Hashiguchi, et al.. (2013). Color correction for automatic fibrosis quantification in liver biopsy specimens. Journal of Pathology Informatics. 4(1). 36–36. 22 indexed citations
12.
Murakami, Yuri, Masahiro Yamaguchi, Yoshiko Yamashita, et al.. (2012). Color Correction in Whole Slide Digital Pathology. Color and Imaging Conference. 20(1). 253–258. 13 indexed citations
13.
Nagahashi, Hiroshi, et al.. (2012). Computational grading of hepatocellular carcinoma using multifractal feature description. Computerized Medical Imaging and Graphics. 37(1). 61–71. 28 indexed citations
14.
Abe, Tokiya, et al.. (2011). Evaluation Method of Degradation in Image Quality of Color Motion Pictures Due to H.264/AVC codec (II)— Proposal of an Image Quality Evaluation Method That Satisfies Two Requirements —. 72(4). 306–314. 1 indexed citations
15.
Abe, Tokiya, et al.. (2008). Quantification of color motion picture quality considering human visual sensitivity. Conference on Colour in Graphics Imaging and Vision. 4(1). 116–119. 2 indexed citations
16.
Abe, Tokiya, Hideaki Haneishi, Pinky A. Bautista, et al.. (2008). Color Correction of Red Blood Cell Area in H&E Stained Images by Using Multispectral Imaging.. 432–436. 5 indexed citations
17.
Abe, Tokiya, Hideaki Haneishi, Pinky A. Bautista, et al.. (2008). Color Correction of Red Blood Cell Area in H&E Stained Images by Using Multispectral Imaging. Conference on Colour in Graphics Imaging and Vision. 4(1). 432–436. 2 indexed citations
18.
Bautista, Pinky A., Tokiya Abe, Masahiro Yamaguchi, Yukako Yagi, & Nagaaki Ohyama. (2005). Digital staining for multispectral images of pathological tissue specimens based on combined classification of spectral transmittance. Computerized Medical Imaging and Graphics. 29(8). 649–657. 26 indexed citations
19.
Shimada, Kenji, Tokiya Abe, Qi Zhao, M. Mio, & Chiaki Kamei. (2001). Effects of histamine and related compounds on the differentiationof HL-60-Eo cells into eosinophils. Methods and Findings in Experimental and Clinical Pharmacology. 23(7). 383–383. 2 indexed citations
20.
Tasaka, Kenjí, Taro Tsurukai, Kenji Shimada, Tokiya Abe, & M. Mio. (1995). Histamine-induced differentiation of eosinophilic subclone of HL-60 cells. Inflammation Research. 44(S1). S76–S77. 2 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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