Yonghao Long

1.0k total citations
20 papers, 273 citations indexed

About

Yonghao Long is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yonghao Long has authored 20 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yonghao Long's work include Surgical Simulation and Training (11 papers), Soft Robotics and Applications (5 papers) and Advanced Vision and Imaging (4 papers). Yonghao Long is often cited by papers focused on Surgical Simulation and Training (11 papers), Soft Robotics and Applications (5 papers) and Advanced Vision and Imaging (4 papers). Yonghao Long collaborates with scholars based in Hong Kong, China and United Kingdom. Yonghao Long's co-authors include Qi Dou, Yueming Jin, Pheng‐Ann Heng, Cheng Chen, Zixu Zhao, Tao Huang, Yuehao Wang, Yunhui Liu, Bo Lu and Jianfeng Cao and has published in prestigious journals such as Nature Communications, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Yonghao Long

20 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yonghao Long Hong Kong 9 128 95 93 26 26 20 273
Cristians González France 7 168 1.3× 122 1.3× 52 0.6× 56 2.2× 18 0.7× 14 293
Yuta Hiasa Japan 9 111 0.9× 119 1.3× 71 0.8× 21 0.8× 32 1.2× 15 282
Sophia Bano United Kingdom 12 86 0.7× 108 1.1× 157 1.7× 62 2.4× 64 2.5× 44 412
Guochen Ning China 12 118 0.9× 182 1.9× 142 1.5× 12 0.5× 41 1.6× 35 438
Micha Pfeiffer Germany 8 125 1.0× 104 1.1× 122 1.3× 20 0.8× 9 0.3× 19 240
Lilian Calvet France 11 189 1.5× 146 1.5× 179 1.9× 47 1.8× 15 0.6× 27 331
Πέτρος Γιαταγάνας United Kingdom 14 178 1.4× 277 2.9× 85 0.9× 20 0.8× 15 0.6× 24 398
Abdolrahim Kadkhodamohammadi United Kingdom 10 148 1.2× 171 1.8× 64 0.7× 20 0.8× 28 1.1× 15 304
Leonardo Tanzi Italy 9 77 0.6× 121 1.3× 84 0.9× 9 0.3× 37 1.4× 12 320
Darko Katić Germany 6 151 1.2× 89 0.9× 96 1.0× 21 0.8× 31 1.2× 21 241

Countries citing papers authored by Yonghao Long

Since Specialization
Citations

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

Fields of papers citing papers by Yonghao Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghao Long

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghao Long. A scholar is included among the top collaborators of Yonghao Long 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 Yonghao Long. Yonghao Long 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.
Wang, Hongyu, Yonghao Long, Hon‐Chi Yip, et al.. (2025). Learning dissection trajectories from expert surgical videos via imitation learning with equivariant diffusion. Medical Image Analysis. 103. 103599–103599. 1 indexed citations
2.
Long, Yonghao, et al.. (2025). Generative AI-enhanced human-AI collaborative conceptual design: A systematic literature review. Design Studies. 97. 101300–101300. 13 indexed citations
3.
Wang, Yuehao, et al.. (2024). Efficient EndoNeRF reconstruction and its application for data-driven surgical simulation. International Journal of Computer Assisted Radiology and Surgery. 19(5). 821–829. 1 indexed citations
4.
Long, Yonghao, et al.. (2024). Extended Reality With HMD-Assisted Guidance and Console 3D Overlay for Robotic Surgery Remote Mentoring. IEEE Robotics and Automation Letters. 9(10). 9135–9142. 2 indexed citations
5.
Long, Yonghao, Kai Chen, Jiaqi Liu, et al.. (2024). Self-Supervised Cyclic Diffeomorphic Mapping for Soft Tissue Deformation Recovery in Robotic Surgery Scenes. IEEE Transactions on Medical Imaging. 43(12). 4356–4367. 1 indexed citations
6.
Cao, Jianfeng, Hon‐Chi Yip, Xiaobei Luo, et al.. (2023). Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study. Nature Communications. 14(1). 6676–6676. 24 indexed citations
7.
Huaulmé, Arnaud, Kanako Harada, Seungbum Hong, et al.. (2023). PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition?. Computer Methods and Programs in Biomedicine. 236. 107561–107561. 3 indexed citations
8.
Long, Yonghao, et al.. (2023). Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning. IEEE Robotics and Automation Letters. 8(8). 4441–4448. 39 indexed citations
9.
10.
11.
Long, Yonghao, et al.. (2022). Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study. Frontiers in Oncology. 12. 868186–868186. 9 indexed citations
12.
Jin, Yueming, Yonghao Long, Xiaojie Gao, et al.. (2022). Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis. International Journal of Computer Assisted Radiology and Surgery. 17(12). 2193–2202. 16 indexed citations
13.
Huaulmé, Arnaud, Kanako Harada, Seungbum Hong, et al.. (2022). PEg TRAnsfer Workflow Recognition Challenge Report: Do Multi-Modal Data Improve Recognition?. SSRN Electronic Journal. 8 indexed citations
14.
Long, Yonghao, et al.. (2022). Robotic surgery remote mentoring via AR with 3D scene streaming and hand interaction. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 11(4). 1027–1032. 6 indexed citations
15.
Li, Bin, Fangxun Zhong, Yonghao Long, et al.. (2022). Distilled Visual and Robot Kinematics Embeddings for Metric Depth Estimation in Monocular Scene Reconstruction. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8072–8077. 6 indexed citations
16.
Li, Bin, Bo Lu, Yonghao Long, et al.. (2022). Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery. IEEE Transactions on Biomedical Engineering. 70(2). 488–500. 25 indexed citations
17.
Long, Yonghao, Jianfeng Cao, Anton Deguet, Russell H. Taylor, & Qi Dou. (2022). Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario. 1–8. 20 indexed citations
18.
Jin, Yueming, Yonghao Long, Cheng Chen, et al.. (2021). Temporal Memory Relation Network for Workflow Recognition From Surgical Video. IEEE Transactions on Medical Imaging. 40(7). 1911–1923. 68 indexed citations
19.
Long, Yonghao, Jie Ying Wu, Bo Lu, et al.. (2021). Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. 13346–13353. 28 indexed citations
20.
Liu, Fuchun, Yonghao Long, & Hongbo Zhou. (2019). Analysis of Autonomous Vehicle Platoon with Disturbance Based on PLEXE. 134–139. 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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