Hiroharu Kawanaka

939 total citations
115 papers, 601 citations indexed

About

Hiroharu Kawanaka is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hiroharu Kawanaka has authored 115 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hiroharu Kawanaka's work include AI in cancer detection (17 papers), Image Retrieval and Classification Techniques (15 papers) and Color perception and design (10 papers). Hiroharu Kawanaka is often cited by papers focused on AI in cancer detection (17 papers), Image Retrieval and Classification Techniques (15 papers) and Color perception and design (10 papers). Hiroharu Kawanaka collaborates with scholars based in Japan, United States and Sri Lanka. Hiroharu Kawanaka's co-authors include V. B. Surya Prasath, Bruce J. Aronow, Shinji Tsuruoka, Atsushi Inoue, Chinthaka Premachandra, Shuichi Tsuruoka, H. Waruna H. Premachandra, T. Yoshikawa, Kosuke Yamamoto and Dang N. H. Thanh and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Hiroharu Kawanaka

100 papers receiving 566 citations

Peers

Hiroharu Kawanaka
Hiroharu Kawanaka
Citations per year, relative to Hiroharu Kawanaka Hiroharu Kawanaka (= 1×) peers Reza Azmi

Countries citing papers authored by Hiroharu Kawanaka

Since Specialization
Citations

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

Fields of papers citing papers by Hiroharu Kawanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroharu Kawanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroharu Kawanaka. A scholar is included among the top collaborators of Hiroharu Kawanaka 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 Hiroharu Kawanaka. Hiroharu Kawanaka 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.
Kawanaka, Hiroharu, et al.. (2025). Multimodal Ensemble Fusion Deep Learning Using Histopathological Images and Clinical Data for Glioma Subtype Classification. IEEE Access. 13. 57780–57797. 2 indexed citations
2.
Matsubara, Hisashi, et al.. (2024). Preoperative OCT Characteristics Contributing to Prediction of Postoperative Visual Acuity in Eyes with Macular Hole. Journal of Clinical Medicine. 13(16). 4826–4826. 1 indexed citations
3.
Kawanaka, Hiroharu, et al.. (2024). Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data. Computers in Biology and Medicine. 179. 108902–108902. 8 indexed citations
4.
Premachandra, Chinthaka, et al.. (2022). Human–Robot Communication System for an Isolated Environment. IEEE Access. 10. 63258–63269. 6 indexed citations
6.
Kawanaka, Hiroharu, et al.. (2022). Traffic Landmark Quality Evaluation Using Efficient VGG-16 model. 3. 1–5. 1 indexed citations
7.
8.
Kawanaka, Hiroharu, et al.. (2022). Data Augmentation Using Generative Adversarial Networks for Multi-Class Segmentation of Lung Confocal IF Images. Journal of Advanced Computational Intelligence and Intelligent Informatics. 26(2). 138–146. 3 indexed citations
9.
Matsubara, Hisashi, et al.. (2021). Classification of good visual acuity over time in patients with branch retinal vein occlusion with macular edema using support vector machine. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(5). 1501–1508. 4 indexed citations
10.
Kawanaka, Hiroharu, et al.. (2018). Glioma Subtypes Clustering Method using Histopathological Image Analysis. 442–446. 2 indexed citations
11.
Kawanaka, Hiroharu, et al.. (2018). Automatic disease stage classification of glioblastoma multiforme histopathological images using deep convolutional neural network. Biomedical Engineering Letters. 8(3). 321–327. 50 indexed citations
14.
Kawanaka, Hiroharu, et al.. (2012). A Study on Conversational Content Recognition Method Using JapaneseWordNet for Robot-Assisted Therapies. Journal of Advanced Computational Intelligence and Intelligent Informatics. 16(1). 62–68. 4 indexed citations
15.
Nakayama, Ryohei, et al.. (2011). Computer aided diagnosis scheme for histological classification of breast mass on ultrasonic images. IEICE Technical Report; IEICE Tech. Rep.. 111(49). 153–158. 1 indexed citations
16.
Kawanaka, Hiroharu, et al.. (2011). Merging with Extraction Method for Transfer Learning in Actor-Critic. Journal of Advanced Computational Intelligence and Intelligent Informatics. 15(7). 814–821. 2 indexed citations
17.
Kawanaka, Hiroharu, et al.. (2010). Effective Reuse Method for Transfer Learning in Actor-critic. 2010. 137–141. 1 indexed citations
18.
Tsuruoka, Shinji, et al.. (2009). Automatic Extraction of Layer Structure for Retina in OCT Image Using Morphological Operation and Active Net.. Machine Vision and Applications. 42–45.
19.
Kawanaka, Hiroharu, et al.. (2005). Automatic Determination of an Active Camera View in an Image Based e-Learning System. 한국지능시스템학회 국제학술대회 발표논문집. 213–217. 5 indexed citations
20.
Yoshikawa, Tomohiro, et al.. (2002). A Study on Deriving a Method for Chromosome Similarities Suitable for the Search Space. Journal of Advanced Computational Intelligence and Intelligent Informatics. 6(3). 135–144. 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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