# Ping Luo

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ping-luo/

## Facts

| Field | Value |
| --- | --- |
| Citations | 57,003 |
| Field | Advanced Neural Network Applications |
| h-index | 96 |
| i10-index | 275 |
| Last Known Institution | Jiangxi University of Traditional Chinese Medicine |
| OpenAlex ID | https://openalex.org/A5100752686 |
| ORCID iD | https://orcid.org/0000-0002-6685-7950 |
| Works | 596 |

## Researcher papers

- [SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers](https://scholariq.org/papers/segformer-simple-and-efficient-design-for-semantic-segmentation-with-n/)
- [SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers](https://scholariq.org/papers/segformer-simple-and-efficient-design-for-semantic-segmentation-with/)
- [Efficacy, safety, and immunogenicity of an oral recombinant Helicobacter pylori vaccine in children in China: a randomised, double-blind, placebo-controlled, phase 3 trial](https://scholariq.org/papers/efficacy-safety-and-immunogenicity-of-an-oral-recombinant-helicobacter-pylori/)
- [Randomized Phase 2 Trial of Telitacicept in Patients With IgA Nephropathy With Persistent Proteinuria](https://scholariq.org/papers/randomized-phase-2-trial-of-telitacicept-in-patients-with-iga-nephropathy-with/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods-2/)

## Researcher university

- [Jiangxi University of Traditional Chinese Medicine](https://scholariq.org/institutions/jiangxi-university-of-traditional-chinese-medicine/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.