SLRSystematic Literature ReviewFrom Literature Discovery to Publication
Stage 1 / Published Article Examples

Stage 1 + Stage 2 · Hands-on examples

Published SLR and review articles

Use these publications to practise identifying review types, checking citation metadata, calibrating screening decisions and piloting an extraction form. The list is a teaching set; it is not a database search export or a single review corpus.

Interpret titles carefully. The labels below are based on wording in each title only. Confirm the article type, review method, eligibility and study findings from the abstract and full text before making a final decision or citing a paper as an SLR.
Learn the SLR protocol from five worked examples →

Stage 1 · Build and check an initial article set

Use the articles as seed examples for learning how to inspect scholarly records. They do not replace a reproducible search in the databases selected for your own topic.

Try this

  1. Sort the titles into: explicitly systematic review, review type needs checking, and comparative or analysis study.
  2. Select two seed papers relevant to your own topic and inspect their abstracts, keywords and reference lists.
  3. Verify title, authors, year, source, volume/issue/pages or article number, and DOI against the publisher or index record.

Save in your Stage 1 portfolio

  1. Record why each seed paper is relevant to your question.
  2. Note terms or synonyms that might improve your keyword matrix.
  3. Record the database/source and date when you retrieve a record. Do not report this curated list as search results.
Work through five protocol examplesReturn to Stage 1 worked exampleOpen Initial Article Set worksheet

Stage 2 · Calibrate screening and pilot extraction

For a short title-screening calibration, use this illustrative question: “Does the publication title explicitly identify a systematic review method?” This narrow question is only a classroom exercise; it is not an eligibility protocol for your own review.

Screen in stages

  1. Make a provisional title-level decision: Include, Exclude or Uncertain.
  2. Discuss which words in the title support the decision.
  3. Open the abstract and methods before confirming review type or final eligibility. A title alone is not enough for full-text screening.

Pilot the extraction form

  1. Extract citation fields first: title, authors, year, source, volume/issue/pages or article number, and DOI.
  2. Then check the full text for review aim, databases searched, date range, eligibility criteria and synthesis method.
  3. Leave any unreported field blank or mark it “not reported”; do not infer it from the title.
Keep the sets separate. Stage 2's synthetic practice CSV remains the consistent dataset for duplicate removal and PRISMA count exercises. These real publications are a separate calibration and extraction example. Do not add them to synthetic flow counts.
Open Stage 2 practice packOpen screening stepOpen extraction step

Article examples

Each DOI opens the DOI landing page. Check the publisher or authoritative index record for any correction to metadata.

Titles that explicitly say “systematic review” or “systematic literature review”

A title signal for practice. Confirm the method in the paper before classifying it as a systematic review.

SYSTEMATIC REVIEW · TITLE SIGNAL

Yalwa, A. S., Othman, M. S., Yusuf, L. M., & Almarshadi, M. S. (2026). Generative AI in higher education: A systematic review with emphasis on programming and computer science education. International Journal of Advanced Computer Science and Applications, 17(5). https://doi.org/10.14569/IJACSA.2026.0170531

SYSTEMATIC REVIEW · TITLE SIGNAL

Supriyadi, M. R., Samah, A. B. A., Muliadi, J., Awang, R. A. R., Ismail, N. H., Majid, H. A., Othman, M. S. B., & Hashim, S. Z. M. (2025). A systematic literature review: Exploring the challenges of ensemble model for medical imaging. BMC Medical Imaging, 25(1), Article 128. https://doi.org/10.1186/s12880-025-01667-4

SYSTEMATIC REVIEW · TITLE SIGNAL

Badauraudine, M. F. M., Noor, M. N. M. M., Othman, M. S., & Nasir, H. B. M. (2024). Detection and tracking of people in a dense crowd through deep learning approach: A systematic literature review. Information Research Communications, 1(2), 65–73. https://doi.org/10.5530/irc.1.2.10

SYSTEMATIC REVIEW · TITLE SIGNAL

Samsinar, Wahyono, T., Setyawan, I., Karwur, F. F., & Othman, M. S. (2025). Breast cancer detection with CNNs: A systematic review of datasets, challenges, and accuracy. In Proceeding – 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT) (pp. 1–7). IEEE. https://doi.org/10.1109/ICCIT65724.2025.11166761

SYSTEMATIC REVIEW · TITLE SIGNAL

Tafa, T. O., Hashim, S. Z. M., Othman, M. S., Alhussian, H., & Nasser, M. (2025). Machine translation performance for low-resource languages: A systematic literature review. IEEE Access, 13, 72486–72505. https://doi.org/10.1109/ACCESS.2025.3562918

SYSTEMATIC REVIEW · TITLE SIGNAL

Junaidi, A., Othman, M. S. B., Mohd Hashim, S. Z., Mohamad, M. M., Kesa, D. D., & Nurfikri, A. (2025). Smart villages: A systematic review of trends, models, and metrics. Cogent Social Sciences, 11(1), Article 2492833. https://doi.org/10.1080/23311886.2025.2492833

SYSTEMATIC REVIEW · TITLE SIGNAL

Li, J., Othman, M. S., Hewan, C., & Yusuf, L. M. (2025). IoT security: A systematic literature review of feature selection methods for machine learning-based attack classification. International Journal of Electronic Security and Digital Forensics, 17(1/2), 60–107. https://doi.org/10.1504/IJESDF.2025.143475

SYSTEMATIC REVIEW · TITLE SIGNAL

Saleh, D. S., & Othman, M. S. (2024). Exploring the challenges of diagnosing thyroid disease with imbalanced data and machine learning: A systematic literature review. Baghdad Science Journal, 21(8), 2736–2752. https://doi.org/10.21123/bsj.2023.8544

Review-like titles: verify the review method

These titles use “systematic computational analysis”, “comprehensive review” or “critical review”. Inspect the abstract and methods to determine what the paper actually did.

METHOD NEEDS CHECKING

Adeyemo, S. O., Othman, M. S., Howe, C. W., Almarshadi, M. S., Hashim, S. Z. M., Tafa, T. O., & Yalwa, A. S. (2026). A deployment-oriented framework for machine learning-based learning style identification: A systematic computational analysis. International Journal of Advanced Computer Science and Applications, 17(3), 564–576. https://doi.org/10.14569/IJACSA.2026.0170367

METHOD NEEDS CHECKING

Junaidi, A., Hashim, S. Z. M., Othman, M. S. B., Mohamad, M. M. B., Alhussian, H., Abdulkadir, S. J., Nasser, M., & Bena, Y. A. (2025). Deep learning and edge computing in agriculture: A comprehensive review of recent trends and innovations. IEEE Access, 13, 137464–137490. https://doi.org/10.1109/ACCESS.2025.3595621

METHOD NEEDS CHECKING

Li, J., Othman, M. S., Chen, H., & Yusuf, L. M. (2024). A critical review of feature selection methods for machine learning in IoT security. International Journal of Communication Networks and Distributed Systems, 30(3), 264–312. https://doi.org/10.1504/IJCNDS.2024.138214

Comparative or analysis titles

Use these to practise distinguishing a review paper from a study or comparative analysis. Confirm the design in the full text.

COMPARATIVE / ANALYSIS TITLE

Saleh, D. S., Othman, M. S., Khudhur, W. O., & Aljabarti, E. A. (2025). Effective techniques for handling missing values in thyroid disease diagnosis: A comparative analysis. Applied Computational Intelligence and Soft Computing, 2025, Article 2766701. https://doi.org/10.1155/2025/2766701

COMPARATIVE / ANALYSIS TITLE

Li, J., Chen, H., Othman, M. S., & Yusuf, L. M. (2024). Enhancing IoT security: A comparative study of feature reduction techniques for intrusion detection system. Intelligent Systems with Applications, 23, Article 200407. https://doi.org/10.1016/j.iswa.2024.200407

The categories support title-screening practice only. They do not assert final inclusion, methodological quality or article findings.