# Zhuofeng Chen

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/zhuofeng-chen/

## Facts

| Field | Value |
| --- | --- |
| Citations | 13 |
| Field | AI in cancer detection |
| h-index | 2 |
| i10-index | 0 |
| Last Known Institution | Shantou University |
| OpenAlex ID | https://openalex.org/A5044578805 |
| Works | 9 |

## Researcher papers

- [Unravelling diagnostic clusters and immune landscapes of disulfidptosis patterns in gastric cancer through bioinformatic assay](https://scholariq.org/papers/unravelling-diagnostic-clusters-and-immune-landscapes-of-disulfidptosis-patterns/)
- [Identification of Child Physical Abuse Based on Openpose and ST-GCN](https://scholariq.org/papers/identification-of-child-physical-abuse-based-on-openpose-and-st-gcn/)
- [ST-ASDNET: A BLSTM-FCN-Transformer basedASD Classification Model for Time-series fMRI](https://scholariq.org/papers/st-asdnet-a-blstm-fcn-transformer-basedasd-classification-model-for-time-series/)
- [Prognostic Value of Deep Learning‐Extracted Tumor‐Infiltrating Lymphocytes in Esophageal Cancer: A Multicenter Retrospective Cohort Study](https://scholariq.org/papers/prognostic-value-of-deep-learning-extracted-tumor-infiltrating-lymphocytes-in/)
- [Automated Lung and Colon Cancer Classification using Histopathological Images](https://scholariq.org/papers/automated-lung-and-colon-cancer-classification-using-histopathological-images/)
- [Automated lung cancer detection using histopathological images](https://scholariq.org/papers/automated-lung-cancer-detection-using-histopathological-images/)
- [MA02.05 Dynamic Mutation Profiles of SCLC Transformation in NSCLC Patients Harboring Concurrent EGFR/TP53/RB1 Mutations](https://scholariq.org/papers/ma02-05-dynamic-mutation-profiles-of-sclc-transformation-in-nsclc-patients/)
- [Research on the Measurement and Warning Model of the Authenticity Level of E-commerce Platform Review Data](https://scholariq.org/papers/research-on-the-measurement-and-warning-model-of-the-authenticity-level-of-e/)
- [593. DEEP LEARNING-BASED PROGNOSTIC MODEL INTEGRATING TUMOR-INFILTRATING LYMPHOCYTES FOR ESOPHAGEAL CANCER: A MULTICENTER RETROSPECTIVE COHORT STUDY](https://scholariq.org/papers/593-deep-learning-based-prognostic-model-integrating-tumor-infiltrating/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [MicroRNA in disease regulation](https://scholariq.org/topics/microrna-in-disease-regulation/)
- [Autism Spectrum Disorder Research](https://scholariq.org/topics/autism-spectrum-disorder-research/)
- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)

## Researcher university

- [Shantou University](https://scholariq.org/institutions/shantou-university/)

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