Skip To Main Content
Yongping Pan on Muck Rack

Yongping Pan

As seen in: arXiv, Frontiers, BMC Cancer
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Yongping

Contact Yongping, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

PD-1/PD-L1 immune checkpoint inhibitors in the treatment of unresectable locally advanced or metastatic triple negative breast cancer: a meta-analysis on their efficacy and safety | BMC Cancer | Full Text

|
By Hanxi Xiao, Xinrong Tang, Yongping Pan, Feng Gao, Zuxiu Wang, Peimeng You, Zhanglei Yang, Xuhuan Li
| BMC Cancer Verified
The latest research found that the expression levels and activity of PD-L1 and tumor-infiltrating lymphocytes (TILs) in TNBC patients were significantly higher than those in other breast cancer subtypes, indicating that TNBC has strong immunogenicity and may be responsive to anti-PD-1 and anti-PD-L1 treatments [21, 22]. Immunotherapy provides a new treatment option for metastatic triple negative breast cancer.
Open in Who Shared Issue with article?

[2401.10785] Composite Learning Backstepping Control With Provable Exponential Stability and Robustness

|
By Shihua Li, Changyun Wen, Yongping Pan
| arXiv
[Submitted on 19 Jan 2024 (v1), last revised 13 Feb 2026 (this version, v4)] View PDF HTML (experimental) Comments: Subjects: Systems and Control (eess.SY) Cite as: arXiv:2401.10785 [eess.SY] (or arXiv:2401.10785v4 [eess.SY] for this version) https://doi.org/10.48550/arXiv.2401.10785
Open in Who Shared Issue with article?

Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation

|
By El Bosque, Miriam Zacksenhouse, Önder Tutsoy, Yongping Pan
| Frontiers
1. Introduction The presence of robots among us is becoming increasingly common as technology provides them with new capabilities needed for performing diverse tasks in unstructured, scenarios, i.e., healthcare centers, homes, etc. In fact, the International Federation of Robotics (IFR) reported ~3 million robots operating in 2020, a 10% increase compared to the previous year (IFR, 2021). This ubiquitous presence entails an increasing human–robot interaction (HRI) in a collaborative manner.
Open in Who Shared Issue with article?
See all 3 articles