Hongen Liao

7.5k total citations
266 papers, 4.8k citations indexed

About

Hongen Liao is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hongen Liao has authored 266 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Biomedical Engineering, 86 papers in Computer Vision and Pattern Recognition and 67 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hongen Liao's work include Advanced Optical Imaging Technologies (44 papers), Augmented Reality Applications (42 papers) and Soft Robotics and Applications (39 papers). Hongen Liao is often cited by papers focused on Advanced Optical Imaging Technologies (44 papers), Augmented Reality Applications (42 papers) and Soft Robotics and Applications (39 papers). Hongen Liao collaborates with scholars based in China, Japan and United States. Hongen Liao's co-authors include Takeyoshi Dohi, Xinran Zhang, Ichiro Sakuma, Longfei Ma, Fang Chen, Guochen Ning, Etsuko Kobayashi, Makoto Iwahara, Yingwei Fan and Guowen Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Photonics and Scientific Reports.

In The Last Decade

Hongen Liao

246 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongen Liao China 36 1.7k 1.6k 1.1k 829 769 266 4.8k
Nobuhiko Hata United States 39 2.8k 1.6× 960 0.6× 1.4k 1.3× 1.4k 1.7× 217 0.3× 169 5.1k
Ichiro Sakuma Japan 31 1.5k 0.9× 664 0.4× 914 0.9× 455 0.5× 196 0.3× 299 3.6k
Takeyoshi Dohi Japan 27 1.2k 0.7× 834 0.5× 792 0.7× 420 0.5× 369 0.5× 163 2.5k
Danail Stoyanov United Kingdom 42 2.5k 1.5× 2.7k 1.6× 2.3k 2.2× 1.2k 1.4× 243 0.3× 338 7.0k
Masahiro Yamaguchi Japan 29 403 0.2× 1.3k 0.8× 755 0.7× 397 0.5× 1.3k 1.7× 301 4.1k
Jannick P. Rolland United States 48 4.8k 2.8× 2.3k 1.4× 251 0.2× 1.7k 2.0× 2.0k 2.5× 445 9.6k
Septimiu E. Salcudean Canada 54 5.3k 3.1× 1.5k 0.9× 1.6k 1.6× 2.3k 2.8× 114 0.1× 387 10.3k
Eric J. Seibel United States 28 1.2k 0.7× 373 0.2× 495 0.5× 325 0.4× 198 0.3× 194 3.1k
Gábor Székely Switzerland 41 1.4k 0.8× 1.5k 0.9× 963 0.9× 1.6k 1.9× 66 0.1× 197 5.3k
Hirotsugu Yamamoto Japan 37 504 0.3× 477 0.3× 628 0.6× 174 0.2× 733 1.0× 502 5.5k

Countries citing papers authored by Hongen Liao

Since Specialization
Citations

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

Fields of papers citing papers by Hongen Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongen Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Hongen Liao. A scholar is included among the top collaborators of Hongen Liao 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 Hongen Liao. Hongen Liao 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.
Chen, Jiaqi, Guochen Ning, Longfei Ma, & Hongen Liao. (2025). Autonomous Deformable Tissue Retraction System Based on 2-D Visual Representation and Asymmetric Reinforcement Learning for Robotic Surgery. IEEE Transactions on Medical Robotics and Bionics. 7(2). 595–606. 1 indexed citations
2.
Wang, Z. Jane, Xuan Yang, Jie Wang, et al.. (2025). A Soft‐Tip Hydraulically Steerable Catheter for Enhanced Flexibility and Safety in Vascular Interventions. Advanced Intelligent Systems. 8(2).
3.
Huang, Tianqi, et al.. (2025). A Compact Monocular Dual-View 3D Endoscope Imaging System Based on Dichroic Prism for Minimally Invasive Surgery. IEEE Transactions on Biomedical Engineering. 72(8). 2507–2518.
4.
Zhang, Yuyao, et al.. (2025). Joint coil sensitivity and motion correction in parallel MRI with a self-calibrating score-based diffusion model. Medical Image Analysis. 102. 103502–103502. 1 indexed citations
5.
Chen, Lingyu, Zhi Cao, Weijing Zhang, et al.. (2024). Thinking Like Sonographers: Human-Centered CNN Models for Gout Diagnosis From Musculoskeletal Ultrasound. IEEE Transactions on Biomedical Engineering. 72(4). 1508–1518.
6.
7.
8.
Ning, Guochen, Jie Wang, & Hongen Liao. (2024). Cable-Driven Light-Weighting and Portable System for Robotic Medical Ultrasound Imaging. IEEE Transactions on Medical Robotics and Bionics. 6(3). 1220–1231. 3 indexed citations
9.
Zhang, Nan, Tianqi Huang, & Hongen Liao. (2024). ARMedicalSketch: Exploring 3D Sketching for Medical Image Using True 2D-3D Interlinked Visualization and Interaction. IEEE Transactions on Human-Machine Systems. 54(5). 589–598.
10.
Liu, Xingyu, Xi Chen, Hongjun Xu, et al.. (2024). Development and clinical validation of a deep learning‐based knee CT image segmentation method for robotic‐assisted total knee arthroplasty. International Journal of Medical Robotics and Computer Assisted Surgery. 20(4). e2664–e2664. 1 indexed citations
11.
Ma, Longfei, et al.. (2024). A Fast-Scanning Protocol of Optical Coherence Tomography Angiography Based on Structure-Aware Attention. IEEE Transactions on Biomedical Engineering. 71(12). 3413–3423.
12.
Li, Haowei, et al.. (2023). A Comparative Evaluation of Optical See-Through Augmented Reality in Surgical Guidance. IEEE Transactions on Visualization and Computer Graphics. 30(7). 4362–4374. 4 indexed citations
13.
Liao, Hongen, et al.. (2023). Cascade Multi-Level Transformer Network for Surgical Workflow Analysis. IEEE Transactions on Medical Imaging. 42(10). 2817–2831. 7 indexed citations
14.
Ning, Guochen, et al.. (2022). Spatiotemporal reconstruction method of carotid artery ultrasound from freehand sonography. International Journal of Computer Assisted Radiology and Surgery. 17(9). 1731–1743. 3 indexed citations
15.
Ma, Longfei, Rui Wang, Qiong He, et al.. (2022). Artificial intelligence-based ultrasound imaging technologies for hepatic diseases. PubMed. 1(4). 252–264. 5 indexed citations
16.
Zhang, Boyu, Jiaqi Chen, Xin Ma, et al.. (2021). Pneumatic System Capable of Supplying Programmable Pressure States for Soft Robots. Soft Robotics. 9(5). 1001–1013. 24 indexed citations
17.
Chen, Fang, Jia Liu, Peng Wan, Hongen Liao, & Wentao Kong. (2020). Immunohistochemical index prediction of breast tumor based on multi-dimension features in contrast-enhanced ultrasound. Medical & Biological Engineering & Computing. 58(6). 1285–1295. 6 indexed citations
18.
Tang, Rui, et al.. (2019). Application value of augmented reality technology in pancreatoduodenectomy. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 18(10). 986–991. 1 indexed citations
19.
Zhang, Boyu, et al.. (2019). Worm-Like Soft Robot for Complicated Tubular Environments. Soft Robotics. 6(3). 399–413. 124 indexed citations
20.
Ohya, Takashi, Toshinori Iwai, Takashi Kato, et al.. (2012). Analysis of carotid artery deformation in different head and neck positions for maxillofacial catheter navigation in advanced oral cancer treatment. BioMedical Engineering OnLine. 11(1). 65–65. 7 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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