# Di Wu

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/di-wu/

## Facts

| Field | Value |
| --- | --- |
| Citations | 505 |
| Field | Advanced Computational Techniques and Applications |
| h-index | 10 |
| i10-index | 10 |
| Last Known Institution | Guangzhou University |
| OpenAlex ID | https://openalex.org/A5101577317 |
| ORCID iD | 0000-0003-1664-5893 |
| Works | 120 |

## Researcher papers

- [JD.com: Transaction-Level Data for the 2020 MSOM Data Driven Research Challenge](https://scholariq.org/papers/jd-com-transaction-level-data-for-the-2020-msom-data-driven-research-challenge/)
- [A YOLO-GGCNN based grasping framework for mobile robots in unknown environments](https://scholariq.org/papers/a-yolo-ggcnn-based-grasping-framework-for-mobile-robots-in-unknown-environments/)
- [Obstacle avoidance and collision avoidance of UAV swarm based on improved VFH algorithm and information sharing strategy](https://scholariq.org/papers/obstacle-avoidance-and-collision-avoidance-of-uav-swarm-based-on-improved-vfh/)
- [Synthesis of nonthermal plasma-irradiated polyvalent manganese (hydro)oxide functionalized nanosilica for intensifying geopolymerized solidification/stabilization of thallium-contaminated soil and mechanism exploration](https://scholariq.org/papers/synthesis-of-nonthermal-plasma-irradiated-polyvalent-manganese-hydro-oxide/)
- [JD.com: Transaction Level Data for the 2020 MSOM Data Driven Research Challenge](https://scholariq.org/papers/jd-com-transaction-level-data-for-the-2020-msom-data-driven-research-challenge-2/)
- [Automated joint faulting measurement based on full-lane 3D pavement surface data](https://scholariq.org/papers/automated-joint-faulting-measurement-based-on-full-lane-3d-pavement-surface-data/)
- [Corridor Navigation and Obstacle Distance Estimation for Monocular Vision Mobile Robots](https://scholariq.org/papers/corridor-navigation-and-obstacle-distance-estimation-for-monocular-vision-mobile/)
- [Monitoring of Urban Black-Odor Water Using UAV Multispectral Data Based on Extreme Gradient Boosting](https://scholariq.org/papers/monitoring-of-urban-black-odor-water-using-uav-multispectral-data-based-on/)
- [Microfluidic organoid-slice-on-a-chip system for studying anti-cholangiocarcinoma drug efficacy and hepatorenal toxicity](https://scholariq.org/papers/microfluidic-organoid-slice-on-a-chip-system-for-studying-anti/)
- [An Ensemble Machine Learning Model to Estimate Urban Water Quality Parameters Using Unmanned Aerial Vehicle Multispectral Imagery](https://scholariq.org/papers/an-ensemble-machine-learning-model-to-estimate-urban-water-quality-parameters/)
- [Incidence and pathological features of IgA nephropathy before and during the COVID-19 pandemic](https://scholariq.org/papers/incidence-and-pathological-features-of-iga-nephropathy-before-and-during-the/)

## Researcher topics

- [Advanced Computational Techniques and Applications](https://scholariq.org/topics/advanced-computational-techniques-and-applications/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Researcher university

- [Guangzhou University](https://scholariq.org/institutions/guangzhou-university/)

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