OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Artificial intelligence in pancreatic cancer
Bowen Huang, Haoran Huang, Shuting Zhang, et al.
Theranostics (2022) Vol. 12, Iss. 16, pp. 6931-6954
Open Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

Proteomics-Driven Biomarkers in Pancreatic Cancer
Luís Ramalhete, Emanuel Vigia, Rúben Araújo, et al.
Proteomes (2023) Vol. 11, Iss. 3, pp. 24-24
Open Access | Times Cited: 8

Explainable machine learning identifies a polygenic risk score as a key predictor of pancreatic cancer risk in the UK Biobank
Giulia Peduzzi, Alessio Felici, Roberto Pellungrini, et al.
Digestive and Liver Disease (2024)
Closed Access | Times Cited: 2

Advancing Precision Medicine: VAE Enhanced Predictions of Pancreatic Cancer Patient Survival in Local Hospital
Yuan Wang, Chenbi Li, Zeheng Wang
IEEE Access (2024) Vol. 12, pp. 3428-3436
Open Access | Times Cited: 2

Artificial Intelligence in Pancreatic Image Analysis: A Review
W.J. Liu, Bairui Zhang, Tao Liu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 2

Coupling magnetic levitation of graphene oxide–protein complexes with blood levels of glucose for early detection of pancreatic adenocarcinoma
Erica Quagliarini, Damiano Caputo, Roberto Cammarata, et al.
Cancer Nanotechnology (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis
Mark Kriegsmann, Katharina Kriegsmann, Georg Steinbuß, et al.
Clinical and Translational Medicine (2023) Vol. 13, Iss. 7
Open Access | Times Cited: 5

Review of artificial intelligence clinical applications in Nuclear Medicine
Emmanouil Panagiotidis, Konstantinos Papachristou, Anna Makridou, et al.
Nuclear Medicine Communications (2023) Vol. 45, Iss. 1, pp. 24-34
Closed Access | Times Cited: 5

N-glycan biosignatures as a potential diagnostic biomarker for early-stage pancreatic cancer
Yan-Rong Wen, Xia-Wen Lin, Yuwen Zhou, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 3, pp. 659-669
Open Access | Times Cited: 1

State-of-the-Art and Challenges in Pancreatic CT Segmentation: A Systematic Review of U-Net and Its Variants
Chaohui Zhang, Anusha Achuthan, Galib Muhammad Shahriar Himel
IEEE Access (2024) Vol. 12, pp. 78726-78742
Open Access | Times Cited: 1

Stratifying Risk for Pancreatic Cancer by Multiplexed Blood Test
Luca Digiacomo, Erica Quagliarini, Daniela Pozzi, et al.
Cancers (2023) Vol. 15, Iss. 11, pp. 2983-2983
Open Access | Times Cited: 4

Data privacy-aware machine learning approach in pancreatic cancer diagnosis
Ömer Faruk Akmeşe
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Clinical application of intelligent technologies and integration in medical laboratories
Wenjie Huang, Dongquan Huang, Y. Ding, et al.
iLABMED (2023) Vol. 1, Iss. 1, pp. 82-91
Open Access | Times Cited: 3

Computed tomography and guidelines‐based human–machine fusion model for predicting resectability of the pancreatic cancer
Adilijiang Yimamu, Jun Li, Haojie Zhang, et al.
Journal of Gastroenterology and Hepatology (2023) Vol. 39, Iss. 2, pp. 399-409
Closed Access | Times Cited: 3

Early screening of Pancreatic Cancer: A Bibliometric Study Over the Past Two Decades
Guo-Xiu Ma, Yuan‐Chen Wang, Yan Liu, et al.
Cancer Screening and Prevention (2023) Vol. 000, Iss. 000, pp. 000-000
Open Access | Times Cited: 2

Radiomics and artificial intelligence in the differential diagnosis of tumor and non-tumor diseases of the pancreas. Review
Fedor Paramzin, В. В. Какоткин, Dmitriy Burkin, et al.
Surgical practice (Russia) (2023), Iss. 1, pp. 53-65
Open Access | Times Cited: 2

Integrating artificial intelligence with endoscopic ultrasound for the differential diagnosis of pancreatic solid neoplasms
Matteo Tacelli, R. Nunziata, Armine Vardazaryan, et al.
Endoscopy (2024) Vol. 56
Closed Access

A novel hybrid optimization-based improved artificial intelligence methods for pancreatic disease segmentation and diagnosis
Dasari Yugandhar, M.S.R. Naidu, B Anilkumar
Multimedia Tools and Applications (2024)
Closed Access



International Journal of Pharmaceutical Sciences and Research (2024) Vol. 15, Iss. 7
Open Access

Applications of spatial transcriptomics and artificial intelligence to develop integrated management of pancreatic cancer
Rishabh Maurya, Isha Chug, Vignesh Vudatha, et al.
Advances in cancer research (2024), pp. 107-136
Closed Access

Pancreatic Cancer Classification Using Multimodal Imaging
Margarita N. Favorskaya, Lakhmi C. Jain, Nishchhal
Intelligent systems reference library (2024), pp. 13-34
Closed Access

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