Yueming Jin

5.0k total citations · 4 hit papers
53 papers, 1.8k citations indexed

About

Yueming Jin is a scholar working on Computer Vision and Pattern Recognition, Surgery and Artificial Intelligence. According to data from OpenAlex, Yueming Jin has authored 53 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 19 papers in Surgery and 16 papers in Artificial Intelligence. Recurrent topics in Yueming Jin's work include Surgical Simulation and Training (17 papers), Multimodal Machine Learning Applications (11 papers) and Medical Image Segmentation Techniques (8 papers). Yueming Jin is often cited by papers focused on Surgical Simulation and Training (17 papers), Multimodal Machine Learning Applications (11 papers) and Medical Image Segmentation Techniques (8 papers). Yueming Jin collaborates with scholars based in Hong Kong, China and Singapore. Yueming Jin's co-authors include Pheng‐Ann Heng, Qi Dou, Hao Chen, Jing Qin, Lequan Yu, Xin Yang, Chi‐Wing Fu, Zixu Zhao, Huazhu Fu and Yanwu Xu and has published in prestigious journals such as Nature Communications, Radiology and IEEE Transactions on Image Processing.

In The Last Decade

Yueming Jin

48 papers receiving 1.8k citations

Hit Papers

3D deeply supervised netw... 2017 2026 2020 2023 2017 2019 2024 2025 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yueming Jin 724 558 549 536 333 53 1.8k
Marius George Linguraru 805 1.1× 853 1.5× 517 0.9× 268 0.5× 440 1.3× 209 2.3k
Jan Egger 898 1.2× 769 1.4× 951 1.7× 796 1.5× 470 1.4× 164 2.9k
Stefanie Speidel 894 1.2× 430 0.8× 783 1.4× 948 1.8× 281 0.8× 126 2.4k
Martin Urschler 890 1.2× 789 1.4× 476 0.9× 206 0.4× 652 2.0× 87 2.4k
Michiel Schaap 1.2k 1.6× 1.5k 2.7× 581 1.1× 420 0.8× 491 1.5× 59 2.6k
Mathias Unberath 867 1.2× 746 1.3× 898 1.6× 636 1.2× 217 0.7× 158 2.5k
Miguel Á. González Ballester 522 0.7× 629 1.1× 707 1.3× 478 0.9× 336 1.0× 165 2.4k
Parvin Mousavi 504 0.7× 741 1.3× 855 1.6× 397 0.7× 624 1.9× 199 2.5k
Óscar Cámara 606 0.8× 1.1k 1.9× 497 0.9× 201 0.4× 220 0.7× 154 3.0k
Jingfan Fan 833 1.2× 605 1.1× 365 0.7× 177 0.3× 240 0.7× 124 1.5k

Countries citing papers authored by Yueming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yueming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueming Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yueming Jin. A scholar is included among the top collaborators of Yueming Jin 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 Yueming Jin. Yueming Jin 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.
Wu, Junde, Jia Zhu, Yuan Liu, Min Xu, & Yueming Jin. (2025). Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools. 28489–28503. 2 indexed citations
2.
Xu, Jialang, et al.. (2025). Personalizing Federated Instrument Segmentation With Visual Trait Priors in Robotic Surgery. IEEE Transactions on Biomedical Engineering. 72(6). 1886–1896. 1 indexed citations
3.
Jin, Yueming, et al.. (2025). Stability analysis on the positioning of steel caisson foundations during submerging stage under complex marine conditions. Ocean Engineering. 321. 120369–120369. 2 indexed citations
4.
Wang, Kai, et al.. (2025). Instrument-Tissue-Guided Surgical Action Triplet Detection via Textual-Temporal Trail Exploration. IEEE Transactions on Medical Imaging. 44(12). 5278–5289.
5.
Tang, He, et al.. (2024). CalibNet: Dual-Branch Cross-Modal Calibration for RGB-D Salient Instance Segmentation. IEEE Transactions on Image Processing. 33. 4348–4362. 9 indexed citations
6.
Yang, Guang, Jing Qin, Yike Guo, et al.. (2024). Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery. IEEE Transactions on Medical Imaging. 43(12). 4457–4469. 10 indexed citations
7.
Ali, Sharib, Yueming Jin, Lihua Zhang, et al.. (2024). An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge. Medical Image Analysis. 99. 103371–103371. 8 indexed citations
8.
Wu, Junde, Yu Zhang, Lixin Duan, et al.. (2024). Calibrate the Inter-Observer Segmentation Uncertainty via Diagnosis-First Principle. IEEE Transactions on Medical Imaging. 43(9). 3331–3342.
9.
Zhang, Jingyang, et al.. (2024). S²Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR. IEEE Transactions on Medical Imaging. 44(1). 361–372. 2 indexed citations
10.
Wu, Junde, Huihui Fang, Yu Zhang, et al.. (2024). Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters. Science Bulletin. 69(18). 2906–2919. 8 indexed citations
11.
Wu, Junde, et al.. (2024). MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6030–6038. 105 indexed citations breakdown →
12.
Jin, Yueming, et al.. (2023). Keep Your Eye on the Best: Contrastive Regression Transformer for Skill Assessment in Robotic Surgery. IEEE Robotics and Automation Letters. 8(3). 1755–1762. 15 indexed citations
13.
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
14.
Jin, Yueming, et al.. (2023). FedDP: Dual Personalization in Federated Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(1). 297–308. 24 indexed citations
15.
Yang, Yu, Zixu Zhao, Yueming Jin, et al.. (2022). Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10857–10864. 1 indexed citations
16.
Zhao, Zixu, Yueming Jin, & Pheng‐Ann Heng. (2021). Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9940–9949. 13 indexed citations
17.
Shi, Xueying, Yueming Jin, Qi Dou, & Pheng‐Ann Heng. (2020). LRTD: long-range temporal dependency based active learning for surgical workflow recognition. International Journal of Computer Assisted Radiology and Surgery. 15(9). 1573–1584. 23 indexed citations
18.
Lin, Li, Qi Dou, Yueming Jin, et al.. (2019). Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma. Radiology. 291(3). 677–686. 237 indexed citations breakdown →
19.
Jin, Yueming, Qi Dou, Hao Chen, et al.. (2019). Multi-task recurrent convolutional network with correlation loss for surgical video analysis. Medical Image Analysis. 59. 101572–101572. 137 indexed citations
20.
Li, Hong, Nan Bao, Yaonan Zhang, et al.. (2016). A renal vascular compartment segmentation method based on dynamic contrast-enhanced images. Technology and Health Care. 24(s2). S631–S639. 4 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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