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Qasem Al-Tashi
Publications

60+ publications · 7,000+ citations

Total Citations

7,000+

Google Scholar Verified

Peer-Reviewed Papers

60+

44 Journals · 16 Conf · 3 Books

Scholar H-Index

24

High-Impact Clinical & AI Venues

Global Ranking

Top 2%

Stanford-Elsevier 2025 & 2026

Cumulative Citation Trajectory

+1,400 / yr avg
2019
220
2020
680
2021
1,450
2022
2,600
2023
4,100
2024
5,600
2025–26
7,000+

Source: Google Scholar & Scopus citation index across 60+ peer-reviewed articles.

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Per Google Scholar: 7,000+ citations · h-index 24 · i10-index 39
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  1. 2025Flagship Impact Venue

    “Causal AI-Based Clinical and Radiomic Analysis for Optimizing Patient Selection in Combined Immunotherapy and SABR in Early-Stage NSCLC: A Secondary Analysis of the Phase II I-SABR Trial.”

    Saad MB, Showkatian E, Verma V, Al-Tashi Q, Aminu M, Xu X, et al.

    Journal for Immunotherapy of Cancer, 13(10), e013074.

  2. 2025

    “Dimension Selection: An Innovative Metaheuristic Strategy for Particle Swarm Optimization.”

    Shami TM, Al-Tashi Q, Khodadadi N, Abdulkadir SJ, Ahmed A, Mirjalili S.

    Cluster Computing, 28(6), 379.

  3. 2025

    “Machine-Learning Driven Strategies for Adapting Immunotherapy in Metastatic NSCLC.”

    Deboever N, Al-Tashi Q, Eisenberg M, Saad MB, Antonoff MB, et al.

    Journal of the American College of Surgeons, 241(2), 107-116.

  4. 2025Flagship Impact Venue

    “Weighting Subgroup Identification Methods for Estimating Treatment Effect in NSCLC Patients Receiving Immune Checkpoint Inhibitors Alone or with Chemotherapy.”

    Saad MB, Al-Tashi Q, Hong L, Verma V, Li W, Boiarsky D, Li S, et al.

    Nature Communications, 16(1), 6828.

  5. 2024Flagship Impact Venue

    “Development and Validation of a Machine Learning Model to Predict Myocardial Blood Flow and Clinical Outcomes from Patients' Electrocardiograms.”

    Alahdab F, Saad MB, Ahmed AI, Al-Tashi Q, Aminu M, Han Y, Moody JB, et al.

    Cell Reports Medicine, 5(10).

  6. 2024

    “I-SABR-SELECT: A Radiomics-Based Model for Personalized Immunotherapy for Early-Stage Non-Small Cell Lung Cancer.”

    Saad MB, Al-Tashi Q, Hong L, Li W, Li S, Heymach JV, Lou Y, Vokes NI, et al.

    Journal of Thoracic Oncology, 19(10), S40.

  7. 2024

    “Enabling Prediction of Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review.”

    Zubair M, Helmi B, Ullah F, Al-Tashi Q, Faheem M, Khan AA.

    IEEE Access, 12, 79025-79050.

  8. 2024

    “Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects.”

    Hadi MU, Al-Tashi Q, Qureshi R, Shah A, et al.

    TechRxiv.

  9. 2023Flagship Impact Venue

    “Predicting Benefit from Immune Checkpoint Inhibitors in Patients with Non-Small-Cell Lung Cancer by CT-Based Ensemble Deep Learning: A Retrospective Study.”

    Saad MB, Hong L, Aminu M, Vokes NI, Chen P, Salehjahromi M, Qin K, ..., Al-Tashi Q, et al.

    The Lancet Digital Health, 5(7), e404-e420.

  10. 2023Flagship Impact Venue

    “SwarmDeepSurv: Swarm Intelligence Advances Deep Survival Network for Prognostic Radiomics Signatures in Four Solid Cancers.”

    Al-Tashi Q, Saad MB, Sheshadri A, Wu CC, Chang JY, Al-Lazikani B, ..., Wu J.

    Patterns, 4(8).