# Yanfen Li

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/yanfen-li/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,751 |
| Field | Atmospheric and Environmental Gas Dynamics |
| h-index | 24 |
| i10-index | 36 |
| Last Known Institution | Qufu Normal University |
| OpenAlex ID | https://openalex.org/A5100784416 |
| ORCID iD | 0000-0002-7777-7518 |
| Works | 77 |

## Researcher papers

- [Explainable artificial intelligence: a comprehensive review](https://scholariq.org/papers/explainable-artificial-intelligence-a-comprehensive-review/)
- [Crop pest recognition in natural scenes using convolutional neural networks](https://scholariq.org/papers/crop-pest-recognition-in-natural-scenes-using-convolutional-neural-networks/)
- [A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving](https://scholariq.org/papers/a-deep-learning-based-hybrid-framework-for-object-detection-and-recognition-in/)
- [DefectTR: End-to-end defect detection for sewage networks using a transformer](https://scholariq.org/papers/defecttr-end-to-end-defect-detection-for-sewage-networks-using-a-transformer/)
- [Automatic tunnel lining crack evaluation and measurement using deep learning](https://scholariq.org/papers/automatic-tunnel-lining-crack-evaluation-and-measurement-using-deep-learning/)
- [A nonenzymatic cholesterol sensor constructed by using porous tubular silver nanoparticles](https://scholariq.org/papers/a-nonenzymatic-cholesterol-sensor-constructed-by-using-porous-tubular-silver/)
- [A robust instance segmentation framework for underground sewer defect detection](https://scholariq.org/papers/a-robust-instance-segmentation-framework-for-underground-sewer-defect-detection/)
- [PAN/PVDF chelating membrane for simultaneous removal of heavy metal and organic pollutants from mimic industrial wastewater](https://scholariq.org/papers/pan-pvdf-chelating-membrane-for-simultaneous-removal-of-heavy-metal-and-organic/)
- [Pixel-level tunnel crack segmentation using a weakly supervised annotation approach](https://scholariq.org/papers/pixel-level-tunnel-crack-segmentation-using-a-weakly-supervised-annotation/)
- [Deep learning-based masonry crack segmentation and real-life crack length measurement](https://scholariq.org/papers/deep-learning-based-masonry-crack-segmentation-and-real-life-crack-length/)

## Researcher topics

- [Atmospheric and Environmental Gas Dynamics](https://scholariq.org/topics/atmospheric-and-environmental-gas-dynamics/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Spectroscopy and Laser Applications](https://scholariq.org/topics/spectroscopy-and-laser-applications/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Water Systems and Optimization](https://scholariq.org/topics/water-systems-and-optimization/)

## Researcher university

- [Qufu Normal University](https://scholariq.org/institutions/qufu-normal-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.