# ACM Computing Surveys

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/acm-computing-surveys/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 0360-0300 |
| ISSNs | 0360-0300,1557-7341 |
| OpenAlex ID | https://openalex.org/S157921468 |
| Publisher | Association for Computing Machinery |

## Journal papers

- [A Comprehensive Survey of Deep Learning for Image Captioning](https://scholariq.org/papers/a-comprehensive-survey-of-deep-learning-for-image-captioning/)
- [A Survey of Mobile Device Virtualization](https://scholariq.org/papers/a-survey-of-mobile-device-virtualization/)
- [Engagement in HCI](https://scholariq.org/papers/engagement-in-hci/)
- [Topic Modeling Using Latent Dirichlet allocation](https://scholariq.org/papers/topic-modeling-using-latent-dirichlet-allocation/)
- [Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey](https://scholariq.org/papers/deep-learning-for-time-series-classification-and-extrinsic-regression-a-current/)
- [Assessing Dependability with Software Fault Injection](https://scholariq.org/papers/assessing-dependability-with-software-fault-injection/)
- [Deep Learning-Based Video Coding](https://scholariq.org/papers/deep-learning-based-video-coding/)
- [Computer Vision-based Analysis of Buildings and Built Environments: A Systematic Review of Current Approaches](https://scholariq.org/papers/computer-vision-based-analysis-of-buildings-and-built-environments-a-systematic/)

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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.