# Ardeshir Shojaeinasab

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ardeshir-shojaeinasab/

## Facts

| Field | Value |
| --- | --- |
| Citations | 290 |
| Field | Machine Fault Diagnosis Techniques |
| h-index | 6 |
| i10-index | 5 |
| OpenAlex ID | https://openalex.org/A5086865222 |
| ORCID iD | 0000-0002-0260-5631 |
| Works | 14 |

## Researcher papers

- [Intelligent manufacturing execution systems: A systematic review](https://scholariq.org/papers/intelligent-manufacturing-execution-systems-a-systematic-review/)
- [Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions](https://scholariq.org/papers/deep-reinforcement-learning-for-machine-scheduling-methodology-the-state-of-the-3/)
- [Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN](https://scholariq.org/papers/synthesizing-rolling-bearing-fault-samples-in-new-conditions-a-framework-based-2/)
- [Mixing detection on Bitcoin transactions using statistical patterns](https://scholariq.org/papers/mixing-detection-on-bitcoin-transactions-using-statistical-patterns/)
- [Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions](https://scholariq.org/papers/deep-reinforcement-learning-for-machine-scheduling-methodology-the-state-of-the/)
- [Unveiling the Black Box: A Unified XAI Framework for Signal-Based Deep Learning Models](https://scholariq.org/papers/unveiling-the-black-box-a-unified-xai-framework-for-signal-based-deep-learning/)
- [Mixing Services in Bitcoin and Ethereum Ecosystems: A Review](https://scholariq.org/papers/mixing-services-in-bitcoin-and-ethereum-ecosystems-a-review/)
- [A Model Identification Forensics Approach for Signal-Based Condition Monitoring](https://scholariq.org/papers/a-model-identification-forensics-approach-for-signal-based-condition-monitoring/)
- [Mixing Solutions in Bitcoin and Ethereum Ecosystems: A Review and Tutorial](https://scholariq.org/papers/mixing-solutions-in-bitcoin-and-ethereum-ecosystems-a-review-and-tutorial/)
- [Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN](https://scholariq.org/papers/synthesizing-rolling-bearing-fault-samples-in-new-conditions-a-framework-based/)

## Researcher topics

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

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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.