# Journal of Intelligent Manufacturing

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/journal-of-intelligent-manufacturing/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 2,990 |
| Citations | 128,642 |
| h-index | 139 |
| Homepage | https://link.springer.com/journal/10845 |
| Open Access | false |
| ISSN-L | 0956-5515 |
| ISSNs | 0956-5515,1572-8145 |
| OpenAlex ID | https://openalex.org/S161464388 |
| Publisher | Springer Science+Business Media |
| Works | 3,682 |

## Journal papers

Showing 12 of 28.

- [Modular and platform methods for product family design: literature analysis](https://scholariq.org/papers/modular-and-platform-methods-for-product-family-design-literature-analysis/)
- [An approach to monitoring quality in manufacturing using supervised machine learning on product state data](https://scholariq.org/papers/an-approach-to-monitoring-quality-in-manufacturing-using-supervised-machine/)
- [From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0](https://scholariq.org/papers/from-knowledge-based-to-big-data-analytic-model-a-novel-iot-and-machine-learning/)
- [Industrial wearable system: the human-centric empowering technology in Industry 4.0](https://scholariq.org/papers/industrial-wearable-system-the-human-centric-empowering-technology-in-industry-4/)
- [A new paradigm of cloud-based predictive maintenance for intelligent manufacturing](https://scholariq.org/papers/a-new-paradigm-of-cloud-based-predictive-maintenance-for-intelligent/)
- [Automatic feature extraction of waveform signals for in-process diagnostic performance improvement](https://scholariq.org/papers/automatic-feature-extraction-of-waveform-signals-for-in-process-diagnostic/)
- [A neural network job-shop scheduler](https://scholariq.org/papers/a-neural-network-job-shop-scheduler/)
- [Intelligent modeling for estimating weld bead width and depth of penetration from infra-red thermal images of the weld pool](https://scholariq.org/papers/intelligent-modeling-for-estimating-weld-bead-width-and-depth-of-penetration/)
- [A novel learning-based feature recognition method using multiple sectional view representation](https://scholariq.org/papers/a-novel-learning-based-feature-recognition-method-using-multiple-sectional-view/)
- [Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling](https://scholariq.org/papers/predicting-the-depth-of-penetration-and-weld-bead-width-from-the-infra-red/)
- [Trends in intelligent manufacturing research: a keyword co-occurrence network based review](https://scholariq.org/papers/trends-in-intelligent-manufacturing-research-a-keyword-co-occurrence-network/)
- [Therblig-based energy demand modeling methodology of machining process to support intelligent manufacturing](https://scholariq.org/papers/therblig-based-energy-demand-modeling-methodology-of-machining-process-to/)

## Journal top topics

Showing 8 of 25.

- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Advanced Manufacturing and Logistics Optimization](https://scholariq.org/topics/advanced-manufacturing-and-logistics-optimization/)
- [Advanced machining processes and optimization](https://scholariq.org/topics/advanced-machining-processes-and-optimization/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Flexible and Reconfigurable Manufacturing Systems](https://scholariq.org/topics/flexible-and-reconfigurable-manufacturing-systems/)
- [Assembly Line Balancing Optimization](https://scholariq.org/topics/assembly-line-balancing-optimization/)

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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.