# Lei Chen

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/lei-chen-3/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,294 |
| Field | Glioma Diagnosis and Treatment |
| h-index | 19 |
| i10-index | 39 |
| Last Known Institution | Tianjin University of Commerce |
| OpenAlex ID | https://openalex.org/A5100778791 |
| ORCID iD | 0000-0002-6071-8888 |
| Works | 128 |

## Researcher papers

- [Review on strategies of space-based optical space situational awareness](https://scholariq.org/papers/review-on-strategies-of-space-based-optical-space-situational-awareness/)
- [Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation](https://scholariq.org/papers/multi-class-asd-classification-based-on-functional-connectivity-and-functional/)
- [Label distribution learning with label-specific features](https://scholariq.org/papers/label-distribution-learning-with-label-specific-features/)
- [Detection of adulteration in Chinese monofloral honey using 1H nuclear magnetic resonance and chemometrics](https://scholariq.org/papers/detection-of-adulteration-in-chinese-monofloral-honey-using-1h-nuclear-magnetic/)
- [Advanced Imaging Techniques for Differentiating Pseudoprogression and Tumor Recurrence After Immunotherapy for Glioblastoma](https://scholariq.org/papers/advanced-imaging-techniques-for-differentiating-pseudoprogression-and-tumor/)
- [Hybrid Noise-Oriented Multilabel Learning](https://scholariq.org/papers/hybrid-noise-oriented-multilabel-learning/)
- [Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion](https://scholariq.org/papers/stabilizing-multispectral-pedestrian-detection-with-evidential-hybrid-fusion/)
- [TMEM158 promotes the proliferation and migration of glioma cells via STAT3 signaling in glioblastomas](https://scholariq.org/papers/tmem158-promotes-the-proliferation-and-migration-of-glioma-cells-via-stat3/)
- [Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data](https://scholariq.org/papers/multi-modal-sequence-learning-for-alzheimer-s-disease-progression-prediction/)
- [Exploring deep learning architectures for automatically grading non-native spontaneous speech](https://scholariq.org/papers/exploring-deep-learning-architectures-for-automatically-grading-non-native/)
- [High-Order Residual Convolutional Neural Network for Robust Crop Disease Recognition](https://scholariq.org/papers/high-order-residual-convolutional-neural-network-for-robust-crop-disease/)

## Researcher topics

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)

## Researcher university

- [Tianjin University of Commerce](https://scholariq.org/institutions/tianjin-university-of-commerce/)

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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.