Fukunaga

1.8k total citations · 1 hit paper
11 papers, 1.2k citations indexed

About

Fukunaga is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Fukunaga has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Fukunaga's work include Uterine Myomas and Treatments (2 papers), Animal Ecology and Behavior Studies (1 paper) and Lymphadenopathy Diagnosis and Analysis (1 paper). Fukunaga is often cited by papers focused on Uterine Myomas and Treatments (2 papers), Animal Ecology and Behavior Studies (1 paper) and Lymphadenopathy Diagnosis and Analysis (1 paper). Fukunaga collaborates with scholars based in Japan, United States and Canada. Fukunaga's co-authors include Kubo, Yasuo Kawakami, Kevin R. Short, Yamashita, Ryuji Kobayashi and Kong and has published in prestigious journals such as IEEE Transactions on Computers, Immunology and Histopathology.

In The Last Decade

Fukunaga

11 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Branch and Bound Algorithm for Feature Subset Selection

1977 841 citations Fukunaga et al. IEEE Transactions on Computers profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fukunaga Japan	6	506	309	125	123	99	11	1.2k
Ruoyu Li China	11	441 0.9×	221 0.7×	40 0.3×	88 0.7×	37 0.4×	31	810
Yan Xiong China	19	329 0.7×	159 0.5×	68 0.5×	61 0.5×	10 0.1×	157	1.2k
Yoshinobu Kawahara Japan	19	338 0.7×	171 0.6×	50 0.4×	92 0.7×	24 0.2×	85	1.1k
Pai‐Hsuen Chen Taiwan	4	502 1.0×	431 1.4×	88 0.7×	175 1.4×	4 0.0×	4	1.3k
Ali Thabet Saudi Arabia	13	643 1.3×	709 2.3×	77 0.6×	81 0.7×	5 0.1×	26	1.6k
Hailong Zhu China	18	209 0.4×	494 1.6×	180 1.4×	80 0.7×	7 0.1×	103	1.5k
Gang Qian United States	18	273 0.5×	749 2.4×	103 0.8×	37 0.3×	4 0.0×	76	1.4k
Pavel Paclı́k Netherlands	12	501 1.0×	577 1.9×	81 0.6×	92 0.7×	3 0.0×	24	1.1k
Tehmina Khalil Pakistan	9	372 0.7×	425 1.4×	79 0.6×	67 0.5×	4 0.0×	13	1.2k

Countries citing papers authored by Fukunaga

Since Specialization

Citations

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

Fields of papers citing papers by Fukunaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fukunaga

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Fukunaga, et al.. (2004). Development of the assisted artificial heart with linear motor actuator. Society of Instrument and Control Engineers of Japan. 1. 306–310. 2 indexed citations

2.

Fukunaga, et al.. (2004). Compact IPMs in transfer mold packages for low-power-motor drives. 333–336. 2 indexed citations

3.

Fukunaga, et al.. (2003). On estimation of fault efficiency for path delay faults. 8. 64–67. 1 indexed citations

4.

Kubo, et al.. (2000). Elasticity of tendon structures of the lower limbs in sprinters. Acta Physiologica Scandinavica. 168(2). 327–335. 106 indexed citations

5.

Fukunaga. (2000). Smooth muscle metaplasia in ovarian endometriosis. Histopathology. 36(4). 348–352. 56 indexed citations

6.

Yamashita, et al.. (1999). Human parathymic lymph node: morphological and functional significance. Immunology. 97(2). 301–308. 4 indexed citations

7.

Fukunaga, et al.. (1998). Dissecting leiomyoma of the uterus with extrauterine extension. Histopathology. 32(2). 160–164. 18 indexed citations

8.

Fukunaga, et al.. (1998). One-chip baseband decoder for a dab receiver. 400–401. 4 indexed citations

9.

Fukunaga & Kevin R. Short. (1978). Generalized Clustering for Problem Localization. IEEE Transactions on Computers. C-27(2). 176–181. 6 indexed citations

10.

Fukunaga, et al.. (1977). A Branch and Bound Algorithm for Feature Subset Selection. IEEE Transactions on Computers. C-26(9). 917–922. 841 indexed citations breakdown →

11.

Fukunaga, et al.. (1976). A Graph-Theoretic Approach to Nonparametric Cluster Analysis. IEEE Transactions on Computers. C-25(9). 936–944. 127 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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