Michael C. Yip

4.5k total citations · 1 hit paper
93 papers, 2.8k citations indexed

About

Michael C. Yip is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Michael C. Yip has authored 93 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Biomedical Engineering, 30 papers in Computer Vision and Pattern Recognition and 24 papers in Surgery. Recurrent topics in Michael C. Yip's work include Soft Robotics and Applications (28 papers), Surgical Simulation and Training (19 papers) and Robot Manipulation and Learning (16 papers). Michael C. Yip is often cited by papers focused on Soft Robotics and Applications (28 papers), Surgical Simulation and Training (19 papers) and Robot Manipulation and Learning (16 papers). Michael C. Yip collaborates with scholars based in United States, Canada and United Kingdom. Michael C. Yip's co-authors include David B. Camarillo, Günter Niemeyer, Jun Zhang, Florian Richter, Conor J. Walsh, Craig Webber, Ahmed H. Qureshi, Robert D. Howe, Nigel Shadbolt and Jaydev P. Desai and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael C. Yip

85 papers receiving 2.7k citations

Hit Papers

Robotic Artificial Muscles: Current Progress and Future P... 2019 2026 2021 2023 2019 50 100 150 200 250
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.

  1. Robotic Artificial Muscles: Current Progress and Future Perspectives
    2019 299 citations Jun Zhang, Jun Sheng et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Yip United States 28 1.6k 699 519 453 412 93 2.8k
Ka‐Wai Kwok Hong Kong 32 1.5k 1.0× 398 0.6× 777 1.5× 626 1.4× 317 0.8× 141 3.0k
Tim C. Lueth Germany 26 1.6k 1.0× 368 0.5× 380 0.7× 953 2.1× 376 0.9× 314 3.1k
Ferdinando Rodriguez y Baena United Kingdom 34 2.4k 1.5× 682 1.0× 893 1.7× 1.7k 3.7× 605 1.5× 192 4.2k
Tobias Ortmaier Germany 27 1.2k 0.8× 608 0.9× 780 1.5× 662 1.5× 409 1.0× 211 2.5k
Philippe Fraisse France 24 1.2k 0.7× 370 0.5× 974 1.9× 151 0.3× 434 1.1× 214 2.6k
Mamoru Mitsuishi Japan 36 2.3k 1.4× 1.6k 2.3× 511 1.0× 1.2k 2.7× 891 2.2× 322 4.6k
Sungwan Kim South Korea 22 720 0.5× 365 0.5× 1.1k 2.2× 252 0.6× 151 0.4× 144 2.9k
Taro Nakamura Japan 35 2.3k 1.4× 2.2k 3.2× 607 1.2× 664 1.5× 149 0.4× 470 6.5k
Gregory S. Fischer United States 35 2.7k 1.7× 420 0.6× 463 0.9× 1.5k 3.2× 648 1.6× 135 3.9k
H. Inoue Japan 36 2.0k 1.3× 509 0.7× 1.7k 3.3× 701 1.5× 1.3k 3.3× 241 4.9k

Countries citing papers authored by Michael C. Yip

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Yip. 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 Michael C. Yip. The network helps show where Michael C. Yip may publish in the future.

Co-authorship network of co-authors of Michael C. Yip

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Yip. A scholar is included among the top collaborators of Michael C. Yip 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 Michael C. Yip. Michael C. Yip 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.
Liu, Fei, et al.. (2025). Autonomous Image-to-Grasp Robotic Suturing Using Reliability-Driven Suture Thread Reconstruction. IEEE Robotics and Automation Letters. 10(4). 3676–3683. 2 indexed citations
2.
3.
Lu, Jingpei, Florian Richter, Shan Lin, & Michael C. Yip. (2024). Tracking Snake-Like Robots in the Wild Using Only a Single Camera. 2660–2666. 1 indexed citations
4.
Schmidt, Adam, Omid Mohareri, Simon DiMaio, Michael C. Yip, & Septimiu E. Salcudean. (2024). Tracking and mapping in medical computer vision: A review. Medical Image Analysis. 94. 103131–103131. 23 indexed citations
5.
6.
Ostrander, Benjamin T., et al.. (2024). The current state of autonomous suturing: a systematic review. Surgical Endoscopy. 38(5). 2383–2397. 5 indexed citations
7.
Liu, Fei, et al.. (2023). ORRN: An ODE-Based Recursive Registration Network for Deformable Respiratory Motion Estimation With Lung 4DCT Images. IEEE Transactions on Biomedical Engineering. 70(12). 3265–3276. 7 indexed citations
8.
Herbert, Sylvia, et al.. (2023). Object-Centric Representations for Interactive Online Learning with Non-Parametric Methods. abs 1907 3146. 1–6. 1 indexed citations
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11.
Sam, Mathew, Moran Amit, Andrew J. Skalsky, et al.. (2020). Artifacts Mitigation in Sensors for Spasticity Assessment. SHILAP Revista de lepidopterología. 3(3). 4 indexed citations
12.
Orosco, Ryan K., Tokio Matsuzaki, Emily K. Funk, et al.. (2020). Compensatory motion scaling for time-delayed robotic surgery. Surgical Endoscopy. 35(6). 2613–2618. 34 indexed citations
13.
Orosco, Ryan K., Tokio Matsuzaki, Emily K. Funk, et al.. (2020). Correction to: Compensatory motion scaling for time-delayed robotic surgery. Surgical Endoscopy. 35(6). 2619–2619. 1 indexed citations
14.
Zhang, Jun, Jun Sheng, Ciaran O’Neill, et al.. (2019). Robotic Artificial Muscles: Current Progress and Future Perspectives. IEEE Transactions on Robotics. 35(3). 761–781. 299 indexed citations breakdown →
15.
Yip, Michael C., et al.. (2017). Spurring Innovation in Spatial Haptics: How Open-Source Hardware Can Turn Creativity Loose. IEEE Robotics & Automation Magazine. 24(1). 65–76. 9 indexed citations
16.
Yip, Michael C., et al.. (2010). 3D Ultrasound to Stereoscopic Camera Registration through an Air-Tissue Boundary. Lecture notes in computer science. 13(Pt 2). 626–634. 11 indexed citations
17.
Yip, Michael C., Shelten G. Yuen, & Robert D. Howe. (2010). A Robust Uniaxial Force Sensor for Minimally Invasive Surgery. IEEE Transactions on Biomedical Engineering. 57(5). 1008–1011. 80 indexed citations
18.
Yuen, Shelten G., Michael C. Yip, Nikolay V. Vasilyev, et al.. (2009). Robotic Force Stabilization for Beating Heart Intracardiac Surgery. Lecture notes in computer science. 12(2009). 26–33. 28 indexed citations
19.
Yiu, Siu‐Ming, et al.. (2006). Sharing and access right delegation for confidential documents: A practical solution. Information & Management. 43(5). 607–616. 5 indexed citations
20.
Witt, Christian, et al.. (2001). An Outbreak of Influenza A Caused by Imported Virus in the United States, July 1999. Clinical Infectious Diseases. 32(11). 1639–1642. 17 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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