This journal is not listed in the SCIE, SSCI, AHCI, ESCI, Scopus or JCR 2024 lists. That does not make it unreliable, but check its indexing, peer review and fees carefully.
How to spot predatory journals →01Indexing
Indexing of Front. Comput. Sci
| List | Status |
|---|---|
| Science Citation Index Expanded (SCIE) | Not listed |
| Social Sciences Citation Index (SSCI) | Not listed |
| Arts & Humanities Citation Index (AHCI) | Not listed |
| Emerging Sources Citation Index (ESCI) | Not listed |
| Scopus | Not listed |
| Journal Citation Reports 2024 | Not listed |
From the indexing lists used on ScholarsColab, updated 1 March 2026. Indexing can change: confirm on the Web of Science Master Journal List or the Scopus source list before submitting. Official Journal Impact Factors and JCR quartiles are published by Clarivate; the impact factor and quartile on this page are calculated from OpenAlex open data (see how the impact factor works).
02What it publishes
What Front. Comput. Sci publishes: real papers
Words that appear most often in the titles of the papers published here that we track. Choose one to see those papers:
03Published papers
Papers published in Front. Comput. Sci
Papers from the publication records ScholarsColab tracks, with their year and citations. Author names are not shown.
- Toward real-time emotion recognition in fog computing-based systems: leveraging interpretable PCA_CNN, YOLO with self-attention mechanism20260 citations
- Inverse and indirect mappings in embodied AI systems in everyday environments20260 citations
- Using domain adaptation and transfer learning techniques to enhance performance across multiple datasets in COVID-19 detection20260 citations
- Latency and trust constrained fog node selection using deep reinforcement learning20260 citations
- A dual perspective review on large language models and code verification20250 citations
- Awareness of privacy and data collection: exploring privacy policy effectiveness in Google Maps20250 citations
- Anomaly detection in netflow traffic: workflow for dataset preparation and analysis20250 citations
- Machine learning-based spreading factor optimization in LoRaWAN networks20250 citations
- Approaches to notation for embodied engagement with a novel neural network-based musical instrument20250 citations
- Augmenting the intangible: an intervention through an AR mobile app and an installation to foster a local cultural phenomenon20250 citations
- Can LLMs effectively provide game-theoretic-based scenarios for cybersecurity?20250 citations
- Revolutionizing arabic learning: GNT and AI-enhanced Metaverse environments20250 citations
- A Comprehensive Survey of Micro Datacenter: Current Technologies and Future Possibilities20250 citations
- SDD: spectral clustering and double deep Q-network based edge server deployment strategy20250 citations
- A hybrid voice cloning for inclusive education in low-resource environments20250 citations
- Detection and monitoring of stress using wearables: A systematic review20240 citations
- Using pseudo-AI submissions for detecting AI-generated code20240 citations
- Large language models for depression recognition in spoken language integrating psychological knowledge20240 citations
- Intelligent data analysis in edge computing with large language models: applications, challenges, and future directions20240 citations
- Unobtrusive stress detection using wearables: Application and challenges in a university setting20230 citations
- Model checking deep neural networks: opportunities and challenges20230 citations
- AI affective computing and behavioral health20230 citations
- Markerless human pose estimation for biomedical applications: a survey20230 citations
- Emotion recognition from MIDI musical file using Enhanced Residual Gated Recurrent Unit architecture20230 citations
- Time-series forecasting of microbial fuel cell energy generation using deep learning20230 citations
- Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection20230 citations
- Realizing quantum utility: grand challenges of secure & trustworthy quantum computing20230 citations
- A hierarchical multi-class classification system for face and text datasets20230 citations
- Computer vision and AI in real-world applications: robustness, generalization, and engineering20230 citations
- Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis20230 citations
- Network representations of drum sequences for classification and generation20230 citations
- Engineering young faculty's acceptance of real-time behavior measurement software20230 citations
- Use of immersive technologies in design20230 citations
- SKELTER: Unsupervised skeleton action denoising and recognition using transformers20230 citations
- Neural audio instruments: epistemological and phenomenological perspectives on musical embodiment of deep learning20230 citations
- Brain jam: Neural signal-informed adaptive system for drumming collaboration with an ai-driven virtual musician20230 citations
- Challenges and advancements in image-based 3D reconstruction of large-scale urban environments: a review of deep learning and classical methods20230 citations
- IGSA-SAC: a novel approach for intrusion detection using improved gravitational search algorithm and soft actor-critic20230 citations
- Responsible AI in healthcare: opportunities, challenges, and best practices20230 citations
- A benchmark dataset and methodology for fine grained vehicle make and model classification20230 citations
- THS-GWNN: a deep learning framework for temporal network link prediction.20200 citations
- Prototyping federated learning on edge computing systems.20190 citations
- Fuzzyfortify: a multi-attribute risk assessment for multi-factor authentication and cloud container orchestration20170 citations
04Reviewer comments
Reviewer comments and rejection reasons for Front. Comput. Sci
No reviewer or editor comments have been shared for this journal yet. Did you submit here? Help other researchers by sharing the comments you received, anonymously.
Share reviewer comments for this journal →Across the reviewer comments researchers have shared with us, the points raised most often are figures, tables and equations (21%), literature and references (12%) and novelty and contribution (10%). Before you submit to Front. Comput. Sci, a Manuscript Audit by a PhD reviewer in your area checks your paper against exactly these points.
Audit my paper before I submit →Not sure yet? Check if your paper is ready for this journal: free, no AI, under 5 secondsPreparing to submit here? Make sure reviewers don't stop at the issues they raise most often. A PhD reviewer in your area can audit your manuscript section by section, and we can convert it into the journal's LaTeX template.
05Similar journals
Journals similar to Front. Comput. Sci
Journals that publish the closest work to the papers above:
- Journal of Theoretical and Applied Information TechnologyScopus22 similar papers
- Scientific ReportsSCIEScopusJCR 20245 similar papers
- IEEE AccessSCIEScopusJCR 20246 similar papers
- Neural Computing and ApplicationsScopusJCR 20243 similar papers
- SensorsSCIEScopusJCR 20246 similar papers
- SustainabilitySCIESSCIScopusJCR 20244 similar papers
06Journal Finder
Find the right journal for your paper
Is Front. Comput. Sci right for your paper? Compare journals
Paste your title, keywords or abstract. We match it against 164,212 published journal papers, by ScholarsColab mentors and other researchers, and show where the closest work appeared, with each journal’s indexing (SCIE, SSCI, AHCI, ESCI, Scopus, JCR 2024).
How it works: no AI or language model is used. Your words are matched against the titles of real published journal papers, by our mentors and by other researchers (shown without names); journals are ranked by how many closely matching papers they published. Indexing comes from the SCIE, SSCI, AHCI, ESCI, Scopus and JCR 2024 lists, matched by journal name; “not found in our indexing lists” does not prove a journal is unindexed. Always check a journal’s scope and current indexing before submitting.
07Questions
Frequently asked questions
Is Front. Comput. Sci indexed in Scopus?
Front. Comput. Sci is not listed in the Scopus list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Front. Comput. Sci an SCIE journal?
Front. Comput. Sci is not listed in SCIE or the other Web of Science indexes, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
Is Front. Comput. Sci in Journal Citation Reports (JCR)?
Front. Comput. Sci is not listed in the JCR 2024 list, according to the indexing lists used on ScholarsColab (updated 1 March 2026). Always confirm the current status on the official list before submitting.
What topics does Front. Comput. Sci publish?
The papers published in Front. Comput. Sci that we track most often mention learning, deep, detection, model, challenges, system. Check the journal’s aims and scope for its full coverage.
How many papers published in Front. Comput. Sci does ScholarsColab track?
We track 43 papers published in Front. Comput. Sci between 2017 and 2026, cited 0 times in total, with a median of 0 citations per paper.
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