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Qing-Chao Chen

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
Howard Hughes Medical Institute, Laboratory of Molecular Biology, University of Washington, Fudan University, National Institute of Health, Beijing Haidian Hospitalas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0002-1216-5609
OpenAlex ID
A5069484115, A5034425398, A5128959621, A5141025160as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

Report an error or request removal Lineage (PROV-JSON)

📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 23
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval, Automatic Image Guidance for Assessment of Placenta Location in Ultrasound Video Sweeps, Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding, Cross-Modal Contrastive Hashing Retrieval for Infrared Video and EEG, Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study, Dictionary Learning Inspired Deep Network for Scene Recognition, DopNet: A Deep Convolutional Neural Network to Recognize Armed and Unarmed Human Targets, Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory +15 more
← Authored by 23
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval, Automatic Image Guidance for Assessment of Placenta Location in Ultrasound Video Sweeps, Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding, Cross-Modal Contrastive Hashing Retrieval for Infrared Video and EEG, Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study, Dictionary Learning Inspired Deep Network for Scene Recognition, DopNet: A Deep Convolutional Neural Network to Recognize Armed and Unarmed Human Targets, Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory +15 more
Affiliated with 5
University of Oxford, Peking University, University College London, Beijing University of Posts and Telecommunications, King University
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Summary

Qing-Chao Chen is a human[1].

Related Entities

Beijing University of Posts and Telecommunications King University

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Qing-Chao Chen. Retrieved October 24, 2026, from https://4ort.xyz/entity/qing-chao-chen
MLA “Qing-Chao Chen.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 Oct. 2026, https://4ort.xyz/entity/qing-chao-chen.
BibTeX @misc{4ortxyz_qing-chao-chen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Qing-Chao Chen}}, year = {2026}, url = {https://4ort.xyz/entity/qing-chao-chen}, note = {Accessed: 2026-10-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Qing-Chao Chen — https://4ort.xyz/entity/qing-chao-chen (retrieved 2026-10-24)

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