# An‐Da Li

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

## Facts

| Field | Value |
| --- | --- |
| Citations | 533 |
| Field | Industrial Vision Systems and Defect Detection |
| h-index | 10 |
| i10-index | 11 |
| Last Known Institution | Tianjin University of Commerce |
| OpenAlex ID | https://openalex.org/A5084644935 |
| ORCID iD | 0000-0002-2111-8724 |
| Works | 23 |

## Researcher papers

- [Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies](https://scholariq.org/papers/improved-binary-particle-swarm-optimization-for-feature-selection-with-new/)
- [Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection](https://scholariq.org/papers/multi-objective-feature-selection-using-hybridization-of-a-genetic-algorithm-and/)
- [Bi-objective variable selection for key quality characteristics selection based on a modified NSGA-II and the ideal point method](https://scholariq.org/papers/bi-objective-variable-selection-for-key-quality-characteristics-selection-based/)
- [Multi-objective particle swarm optimization for key quality feature selection in complex manufacturing processes](https://scholariq.org/papers/multi-objective-particle-swarm-optimization-for-key-quality-feature-selection-in/)
- [Multiobjective feature selection for key quality characteristic identification in production processes using a nondominated-sorting-based whale optimization algorithm](https://scholariq.org/papers/multiobjective-feature-selection-for-key-quality-characteristic-identification/)
- [Key quality characteristics selection for imbalanced production data using a two-phase bi-objective feature selection method](https://scholariq.org/papers/key-quality-characteristics-selection-for-imbalanced-production-data-using-a-two/)
- [A decomposition-based multi-objective particle swarm optimization algorithm with a local search strategy for key quality characteristic identification in production processes](https://scholariq.org/papers/a-decomposition-based-multi-objective-particle-swarm-optimization-algorithm-with/)
- [Robust multi-response optimization considering location effect, dispersion effect, and model uncertainty using hybridization of NSGA-II and direct multi-search](https://scholariq.org/papers/robust-multi-response-optimization-considering-location-effect-dispersion-effect/)
- [A multi-objective evolutionary algorithm with mutual-information-guided improvement phase for feature selection in complex manufacturing processes](https://scholariq.org/papers/a-multi-objective-evolutionary-algorithm-with-mutual-information-guided/)
- [An improved exponential EWMA chart for monitoring time between events](https://scholariq.org/papers/an-improved-exponential-ewma-chart-for-monitoring-time-between-events/)
- [An adaptive online learning scheme for anomaly detection in IIoT data streams under varying operating conditions](https://scholariq.org/papers/an-adaptive-online-learning-scheme-for-anomaly-detection-in-iiot-data-streams/)

## Researcher topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Advanced Statistical Process Monitoring](https://scholariq.org/topics/advanced-statistical-process-monitoring/)
- [Advanced Multi-Objective Optimization Algorithms](https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/)
- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

## 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.