🌍 Worldwide🎗️ Cancer & Oncology📡 OpenAlex🕒 Updated November 2, 2026

Most-Cited AI in Cancer Detection Papers This Year (2026)

As of November 2, 2026, “Harmonizing fusion modeling for accurate liver cancer diagnosis using explainable artificial intelligence: a step toward trustworthy medical AI” leads Most-Cited AI in Cancer Detection Papers This Year with 9 citations. “Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral Cancer” is second and “AI-Integrated biosensors: A paradigm shift in multi-cancer detection with enhanced sensitivity and specificity” third.

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🚫 No paid placement📡 Source: OpenAlex🕒 Updated November 2, 2026 ⓘ How we measure

Highlights: ⚔️ Neck and neck: Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral Cancer

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Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral CancerWenqian Tian et al. · Nano Letters · 2026-02-049 citations

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Harmonizing fusion modeling for accurate liver cancer diagnosis using explainable artificial intelligence: a step toward trustworthy medical AINiyaz Ahmad Wani et al. · Complex & Intelligent Systems · 2026-04-039 citations

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AI-Integrated biosensors: A paradigm shift in multi-cancer detection with enhanced sensitivity and specificityFatima Naseer et al. · Sensors and Actuators Reports · 2026-01-149 citations

Full ranking

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Harmonizing fusion modeling for accurate liver cancer diagnosis using explainable artificial intelligence: a step toward trustworthy medical AI ↗ •🏆 Leader

Niyaz Ahmad Wani et al. · Complex & Intelligent Systems · 2026-04-03

9 citationsCitations

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Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral Cancer ↗ •⚔️ Neck and neck

Wenqian Tian et al. · Nano Letters · 2026-02-04

9 citationsCitations

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AI-Integrated biosensors: A paradigm shift in multi-cancer detection with enhanced sensitivity and specificity ↗ •

Fatima Naseer et al. · Sensors and Actuators Reports · 2026-01-14

9 citationsCitations

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Deep visual detection system for oral squamous cell carcinoma ↗ •

Kainat Akram et al. · Scientific Reports · 2026-01-19

8 citationsCitations

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World Endoscopy Organization Position Statements for Artificial Intelligence in Endoscopic Diagnosis of Gastric Epithelial Neoplasia ↗ •

Mitsuhiro Fujishiro et al. · Digestive Endoscopy · 2026-04-01

7 citationsCitations

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Artificial intelligence-assisted endoscopy in the detection of early gastrointestinal cancer: Progress, challenges, and future directions ↗ •

Zhong-Xing Ning et al. · World Journal of Gastroenterology · 2026-03-19

7 citationsCitations

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Explainable artificial intelligence-Infused hybrid transfer learning framework with multiscale feature fusion for brain tumor detection and classification ↗ •

Shahid Mohammad Ganie et al. · Engineering Applications of Artificial Intelligence · 2026-02-13

7 citationsCitations

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Advanced AI framework for accurate detection and classification of brain tumours from MRI images ↗ •

M. Rajesh et al. · Intelligence-Based Medicine · 2026-01-19

7 citationsCitations

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Explainable deep learning for skin cancer detection using swish-activated convolutional networks ↗ •

Subhayan Mukherjee et al. · Discover Oncology · 2026-01-10

7 citationsCitations

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Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI) ↗ •

Taro Shibuki et al. · International Journal of Clinical Oncology · 2026-03-06

6 citationsCitations

How this ranking works

Ranked by citation count (OpenAlex) among research papers published this year whose title or abstract matches this topic. Citations build up over time, so the newest papers rank lower. For information only, not medical advice.

Methodology →

SourceOpenAlex

SignalCitations

Last updatedNov 2, 2026, 4:27 PM UTC

Top 10Citations of papers published this year

Frequently asked questions

What is #1 in Most-Cited AI in Cancer Detection Papers This Year?

As of November 2, 2026, #1 is “Harmonizing fusion modeling for accurate liver cancer diagnosis using explainable artificial intelligence: a step toward trustworthy medical AI”.

How is this ranking measured?

How often is this chart updated?

Data is re-collected automatically and every page shows its last update date.

Can a brand pay to appear in this ranking?

No. There are no paid placements and no commercial influence on rank.