Kashu Yamazaki

1.2k total citations · 1 hit paper
20 papers, 657 citations indexed

About

Kashu Yamazaki is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Kashu Yamazaki has authored 20 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Kashu Yamazaki's work include Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (5 papers). Kashu Yamazaki is often cited by papers focused on Human Pose and Action Recognition (7 papers), Advanced Neural Network Applications (5 papers) and Multimodal Machine Learning Applications (5 papers). Kashu Yamazaki collaborates with scholars based in United States, Vietnam and Japan. Kashu Yamazaki's co-authors include Ngan Le, Viet-Khoa Vo-Ho, Khoa Luu, Marios Savvides, Bhiksha Raj, Chase Rainwater, Minh C. Tran, Minh–Triet Tran, Haitao Liao and Roy McCann and has published in prestigious journals such as IEEE Access, International Journal of Computer Vision and Remote Sensing.

In The Last Decade

Kashu Yamazaki

19 papers receiving 643 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.

Spiking Neural Networks and Their Applications: A Review

2022 293 citations Kashu Yamazaki, Viet-Khoa Vo-Ho et al. Brain Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kashu Yamazaki United States	11	250	201	188	130	69	20	657
Viet-Khoa Vo-Ho Vietnam	11	209 0.8×	185 0.9×	148 0.8×	123 0.9×	46 0.7×	29	528
César Torres-Huitzil Mexico	15	159 0.6×	371 1.8×	263 1.4×	106 0.8×	113 1.6×	82	737
Eva M. Ortigosa Spain	9	148 0.6×	228 1.1×	187 1.0×	149 1.1×	31 0.4×	25	649
Hui Xu China	17	160 0.6×	361 1.8×	208 1.1×	68 0.5×	89 1.3×	101	949
Juan P. Dominguez‐Morales Spain	13	218 0.9×	223 1.1×	85 0.5×	123 0.9×	94 1.4×	60	684
Xiaojun Wu China	14	132 0.5×	112 0.6×	286 1.5×	134 1.0×	43 0.6×	105	794
Gaetano Di Caterina United Kingdom	15	273 1.1×	208 1.0×	153 0.8×	161 1.2×	174 2.5×	69	811
Fengzhen Tang China	12	218 0.9×	60 0.3×	116 0.6×	169 1.3×	36 0.5×	41	557
Xuhui Huang China	11	178 0.7×	285 1.4×	108 0.6×	246 1.9×	15 0.2×	51	561
Qi Xu China	14	147 0.6×	308 1.5×	203 1.1×	25 0.2×	37 0.5×	62	737

Countries citing papers authored by Kashu Yamazaki

Since Specialization

Citations

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

Fields of papers citing papers by Kashu Yamazaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kashu Yamazaki

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

All Works

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20 of 20 papers shown

Yamazaki, Kashu, et al.. (2024). Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene Representation. 9411–9417. 9 indexed citations

Yamazaki, Kashu, Minh C. Tran, Roy McCann, et al.. (2024). AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation. Remote Sensing. 16(16). 2930–2930. 34 indexed citations

Vo-Ho, Viet-Khoa, et al.. (2023). DNA: Deformable Neural Articulations Network for Template-free Dynamic 3D Human Reconstruction from Monocular RGB-D Video. 3676–3685. 1 indexed citations

Yamazaki, Kashu, et al.. (2023). VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3081–3090. 24 indexed citations

Vo-Ho, Viet-Khoa, et al.. (2023). CLIP-TSA: Clip-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection. 3230–3234. 38 indexed citations

Vo-Ho, Viet-Khoa, et al.. (2022). Contextual Explainable Video Representation: Human Perception-based Understanding. 1326–1333. 6 indexed citations

Yamazaki, Kashu, Viet-Khoa Vo-Ho, Michael T. Kidd, et al.. (2022). VLCAP: Vision-Language with Contrastive Learning for Coherent Video Paragraph Captioning. 2022 IEEE International Conference on Image Processing (ICIP). 3656–3661. 16 indexed citations

Yamazaki, Kashu, et al.. (2022). Spiking Neural Networks and Their Applications: A Review. Brain Sciences. 12(7). 863–863. 293 indexed citations breakdown →

Vo-Ho, Viet-Khoa, et al.. (2022). AOE-Net: Entities Interactions Modeling with Adaptive Attention Mechanism for Temporal Action Proposals Generation. International Journal of Computer Vision. 131(1). 302–323. 18 indexed citations

10.

Yamazaki, Kashu, et al.. (2022). Invertible residual network with regularization for effective volumetric segmentation. 29–29. 5 indexed citations

11.

Le, Ngan, et al.. (2021). Narrow Band Active Contour Attention Model for Medical Segmentation. Diagnostics. 11(8). 1393–1393. 16 indexed citations

12.

Le, Ngan, et al.. (2021). Deep reinforcement learning in computer vision: a comprehensive survey. Artificial Intelligence Review. 55(4). 2733–2819. 149 indexed citations

13.

Li, Yucheng, et al.. (2021). Development of a Soft Robot Based Photodynamic Therapy for Pancreatic Cancer. IEEE/ASME Transactions on Mechatronics. 26(6). 2977–2985. 16 indexed citations

14.

Vo-Ho, Viet-Khoa, et al.. (2021). AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation.

15.

Le, Ngan, et al.. (2021). A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation. 5943–5950. 11 indexed citations

16.

Vo-Ho, Viet-Khoa, et al.. (2021). ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation. IEEE Access. 9. 126431–126445. 10 indexed citations

17.

Le, Ngan, et al.. (2021). Offset Curves Loss for Imbalanced Problem in Medical Segmentation. 9189–9195. 8 indexed citations

18.

Yamazaki, Kashu. (2020). Towards Sensorimotor Coupling of a Spiking Neural Network and Deep Reinforcement Learning for Robotics Application. Journal of the Arkansas Academy of Science. 1 indexed citations

19.

Yamazaki, Kashu, et al.. (2020). Minimally invasive intraperitoneal photodynamic therapy using a new soft robot system. 12–12. 1 indexed citations

20.

Sirotkin, E., et al.. (2020). Gearbox Development for an Emergency Brake System of the Wind Turbine. IOP Conference Series Earth and Environmental Science. 459(2). 22010–22010. 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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