Kanji Tanaka

2.4k total citations
141 papers, 1.7k citations indexed

About

Kanji Tanaka is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Aerospace Engineering. According to data from OpenAlex, Kanji Tanaka has authored 141 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 29 papers in Cognitive Neuroscience and 24 papers in Aerospace Engineering. Recurrent topics in Kanji Tanaka's work include Robotics and Sensor-Based Localization (24 papers), Pregnancy and preeclampsia studies (18 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Kanji Tanaka is often cited by papers focused on Robotics and Sensor-Based Localization (24 papers), Pregnancy and preeclampsia studies (18 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Kanji Tanaka collaborates with scholars based in Japan, Australia and United Kingdom. Kanji Tanaka's co-authors include Katsumi Watanabe, Daigo Yamamoto, Eiji Kondo, Yasushi Nakane, Koshiro Hioki, Tokio Okusa, Tsunehide Boku, Katsuhiko Naruse, Kazushi Watanabe and Toshiya Nakamura and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Cancer.

In The Last Decade

Kanji Tanaka

131 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanji Tanaka Japan 22 305 235 217 213 198 141 1.7k
Kazuko Itoh Japan 24 136 0.4× 315 1.3× 115 0.5× 212 1.0× 180 0.9× 102 1.9k
Ryan K. C. Yuen Canada 27 556 1.8× 2.2k 9.5× 204 0.9× 151 0.7× 85 0.4× 49 3.7k
Aijun Liu China 22 43 0.1× 564 2.4× 62 0.3× 196 0.9× 269 1.4× 104 1.9k
Qiong Li China 23 36 0.1× 314 1.3× 81 0.4× 139 0.7× 198 1.0× 106 1.7k
Yuanhao Li China 18 91 0.3× 398 1.7× 72 0.3× 80 0.4× 44 0.2× 84 1.2k
Fu Siong Ng United Kingdom 25 87 0.3× 402 1.7× 104 0.5× 72 0.3× 138 0.7× 168 2.1k
Ling Liu China 25 18 0.1× 729 3.1× 259 1.2× 195 0.9× 123 0.6× 129 2.5k
Zhuo‐Xian Meng China 30 21 0.1× 942 4.0× 63 0.3× 174 0.8× 475 2.4× 90 2.6k
Rong Hu China 21 426 1.4× 2.2k 9.5× 17 0.1× 429 2.0× 99 0.5× 128 4.0k
Lei Cai China 28 32 0.1× 1.9k 7.9× 91 0.4× 151 0.7× 832 4.2× 111 3.4k

Countries citing papers authored by Kanji Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Kanji Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanji Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Kanji Tanaka. A scholar is included among the top collaborators of Kanji Tanaka 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 Kanji Tanaka. Kanji Tanaka 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.
2.
Yamada, Hideto, Masashi Deguchi, Shigeru Saito, et al.. (2023). High doses of intravenous immunoglobulin stimulate regulatory T cell and suppress natural killer cell in women with recurrent pregnancy loss. Journal of Reproductive Immunology. 158. 103977–103977. 14 indexed citations
3.
Takagi, Kenjiro, Kazushi Watanabe, Kanji Tanaka, et al.. (2022). A Review of the Best Practice Guide 2021 for the Diagnosis and Management of Hypertensive Disorders of Pregnancy (HDP). 10(2). 57–73. 8 indexed citations
4.
Tanaka, Kanji, et al.. (2018). Visual attention influences audiovisual event perception and the susceptibility to the fusion illusion. 50(1). 46–46. 1 indexed citations
5.
Iino, Kaori, Tsuyoshi Higuchi, Mariko Ogawa, et al.. (2016). Blood pressure during pregnancy is a useful predictive maker for hypertension and dyslipidemia later in life, a population-based, cross-sectional study. Maturitas. 87. 84–88. 7 indexed citations
6.
Tanaka, Kanji & Katsumi Watanabe. (2015). Effects of learning duration on implicit transfer. Experimental Brain Research. 233(10). 2767–2776. 6 indexed citations
7.
Hosoda, Chihiro, Kanji Tanaka, Tadashi Nariai, Manabu Honda, & Takashi Hanakawa. (2013). Dynamic Neural Network Reorganization Associated with Second Language Vocabulary Acquisition: A Multimodal Imaging Study. Journal of Neuroscience. 33(34). 13663–13672. 118 indexed citations
8.
Tanaka, Kanji, et al.. (2013). Detecting Rotational Symmetry via Global/Local Image Analysis. Machine Vision and Applications. 387–390. 1 indexed citations
9.
Yokoyama, Yoshihito, et al.. (2008). CHANGES OF PROTEOGLYCAN EXPRESSION AND GLYCOSAMINOGLYCAN CONSTITUENTS IN THE INTERVILLOUS SPACE OF THE PREGNANCY-INDUCED HYPERTENSION PLACENTA. 59. 128–135. 2 indexed citations
10.
Tanaka, Kanji, et al.. (2007). 4‐Methylumbelliferone inhibits hyaluronate synthesis in human uterine cervical fibroblasts. Journal of obstetrics and gynaecology research. 33(6). 772–776. 4 indexed citations
11.
Tanaka, Kanji, et al.. (2007). A Supervised Learning Approach to Robot Localization Using a Short-Range RFID Sensor(Artificial Intelligence and Cognitive Science). IEICE Transactions on Information and Systems. 90(11). 1762–1771. 1 indexed citations
12.
Yamada, Masanori, et al.. (2005). A CASE OF DUCTAL CARCINOMA IN SITU (DCIS) ASSOCIATED WITH FIBROADENOMA. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 66(3). 583–586.
13.
Yamamoto, Daigo & Kanji Tanaka. (2004). A Review of Mammary Ductoscopy in Breast Cancer. The Breast Journal. 10(4). 295–297. 11 indexed citations
14.
Tanaka, Kanji, Nobuhiro Okada, & Eiji Kondo. (2004). A Method for Map Buiding and Navigation of Mobile Robots by Observing Walking Human. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C. 70(693). 1356–1362. 1 indexed citations
15.
Tanaka, Kanji, Tsutomu Hasegawa, Hongbin Zha, Eiji Kondo, & Norimichi Okada. (2004). Mobile robot localization with an incomplete map in non-stationary environments. 2848–2853. 7 indexed citations
16.
Yamamoto, Daigo, et al.. (2002). New diagnostic approach to intracystic lesions of the breast by fiberoptic ductoscopy.. PubMed. 21(6A). 4113–6. 21 indexed citations
17.
Hashizume, Makoto, et al.. (2001). Psychosomatic Analysis of Patients with Breast Cancer : Post-operative study of 50 Patients. 心身医学. 41. 137. 1 indexed citations
18.
Tanaka, Kanji, Toshiya Nakamura, Tsuyoshi Higuchi, et al.. (1994). Hyaluronate depolymerization activity induced by progesterone in cultured fibroblasts derived from human uterine cervix. FEBS Letters. 347(1). 95–98. 21 indexed citations
19.
Boku, Tsunehide, Yasushi Nakane, Masashi Okamoto, et al.. (1992). A Clinical Study of Adequate Lymphadenectomy for Gastric Cancer from the Aspect of the Location of Cancer.. The Japanese Journal of Gastroenterological Surgery. 25(1). 7–13. 1 indexed citations
20.
Boku, Tsunehide, Masashi Okamoto, Kanji Tanaka, et al.. (1991). Preoperative diagnosis of gastric cancer using plain computed tomography and dynamic computed tomography.. The Japanese Journal of Gastroenterological Surgery. 24(3). 757–762. 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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