# Shengbo Wang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/shengbo-wang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 212 |
| Field | Digital Transformation in Industry |
| h-index | 9 |
| i10-index | 9 |
| Last Known Institution | Hong Kong Polytechnic University |
| OpenAlex ID | https://openalex.org/A5010912142 |
| ORCID iD | 0000-0002-6759-7839 |
| Works | 21 |

## Researcher papers

- [A Hybrid MCDM Method Using Combination Weight for the Selection of Facility Layout in the Manufacturing System: A Case Study](https://scholariq.org/papers/a-hybrid-mcdm-method-using-combination-weight-for-the-selection-of-facility/)
- [Towards discrete manufacturing workshop-oriented digital twin model: Modeling, verification and evolution](https://scholariq.org/papers/towards-discrete-manufacturing-workshop-oriented-digital-twin-model-modeling/)
- [Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-Enabled Multi-Agent Reinforcement Learning](https://scholariq.org/papers/multi-auv-cooperative-underwater-multi-target-tracking-based-on-dynamic/)
- [Dynamic production bottleneck prediction using a data-driven method in discrete manufacturing system](https://scholariq.org/papers/dynamic-production-bottleneck-prediction-using-a-data-driven-method-in-discrete/)
- [Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning](https://scholariq.org/papers/digital-twin-driven-dynamic-scheduling-of-discrete-manufacturing-workshop-with/)
- [Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks](https://scholariq.org/papers/weld-seam-object-detection-system-based-on-the-fusion-of-2d-images-and-3d-point/)
- [A spatial-temporal feature fusion network for order remaining completion time prediction in discrete manufacturing workshop](https://scholariq.org/papers/a-spatial-temporal-feature-fusion-network-for-order-remaining-completion-time/)
- [A novel fine-grained assembly sequence planning method based on knowledge graph and deep reinforcement learning](https://scholariq.org/papers/a-novel-fine-grained-assembly-sequence-planning-method-based-on-knowledge-graph/)
- [A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop](https://scholariq.org/papers/a-deep-graph-neural-network-based-link-prediction-model-for-proactive-anomaly/)
- [A multi-level root cause analysis method for production anomalies in manufacturing workshops](https://scholariq.org/papers/a-multi-level-root-cause-analysis-method-for-production-anomalies-in/)

## Researcher topics

- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Advanced Manufacturing and Logistics Optimization](https://scholariq.org/topics/advanced-manufacturing-and-logistics-optimization/)
- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Flexible and Reconfigurable Manufacturing Systems](https://scholariq.org/topics/flexible-and-reconfigurable-manufacturing-systems/)

## Researcher university

- [Hong Kong Polytechnic University](https://scholariq.org/institutions/hong-kong-polytechnic-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.