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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:

Recognition of early and late stages of bladder cancer using metabolites and machine learning
Valentina L. Kouznetsova, Elliot Kim, Eden L. Romm, et al.
Metabolomics (2019) Vol. 15, Iss. 7
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Gut microbiome, big data and machine learning to promote precision medicine for cancer
Giovanni Cammarota, Gianluca Ianiro, Anna M. Ahern, et al.
Nature Reviews Gastroenterology & Hepatology (2020) Vol. 17, Iss. 10, pp. 635-648
Closed Access | Times Cited: 244
Untargeted metabolomics analysis of esophageal squamous cell cancer progression
Tao Yang, Ruting Hui, Jessica Nouws, et al.
Journal of Translational Medicine (2022) Vol. 20, Iss. 1
Open Access | Times Cited: 71
Artificial intelligence in metabolomics: a current review
Jinhua Chi, Jingmin Shu, Ming Li, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 178, pp. 117852-117852
Closed Access | Times Cited: 20
Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources
Tara Eicher, Garrett Kinnebrew, Andrew Patt, et al.
Metabolites (2020) Vol. 10, Iss. 5, pp. 202-202
Open Access | Times Cited: 107
Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction
Soheila Borhani, Reza Borhani, André Kajdacsy-Balla
Critical Reviews in Oncology/Hematology (2022) Vol. 171, pp. 103601-103601
Open Access | Times Cited: 52
Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement
Matteo Ferro, Ugo Giovanni Falagario, Biagio Barone, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2308-2308
Open Access | Times Cited: 30
Taxonomic and Functional Differences in Cervical Microbiome Associated with Cervical Cancer Development
Charles Nkufi Tango, Sang‐Soo Seo, Minji Kwon, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 51
Machine Learning in Prediction of Bladder Cancer on Clinical Laboratory Data
I-Jung Tsai, Wen‐Chi Shen, Chien‐Chung Lin, et al.
Diagnostics (2022) Vol. 12, Iss. 1, pp. 203-203
Open Access | Times Cited: 32
Multivariate analysis of NMR‐based metabolomic data
Julia Debik, Matteo Sangermani, Feng Wang, et al.
NMR in Biomedicine (2021) Vol. 35, Iss. 2
Closed Access | Times Cited: 38
Tumour microenvironment as a predictive factor for immunotherapy in non-muscle-invasive bladder cancer
Aleksandra Semeniuk-Wojtaś, Karolina Poddębniak-Strama, Magdalena Modzelewska, et al.
Cancer Immunology Immunotherapy (2023) Vol. 72, Iss. 7, pp. 1971-1989
Open Access | Times Cited: 16
Magnetic 3D macroporous MOF oriented urinary exosome metabolomics for early diagnosis of bladder cancer
Yiqing Cao, Jianan Feng, Qiao Zhang, et al.
Journal of Nanobiotechnology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 5
Precise prediction of metabolites patterns using machine learning approaches in distinguishing honey and sugar diets fed to mice
Zheng Xing, Fei Pan, Nenad Naumovski, et al.
Food Chemistry (2023) Vol. 430, pp. 136915-136915
Closed Access | Times Cited: 13
Transforming Disease Diagnosis and Management: A Comprehensive Review of AI-Driven Urine Analysis in Clinical Medicine
Vinod Kumar Shukla, Manu Sudhi, Dasharathraj K Shetty, et al.
Engineered Science (2023)
Open Access | Times Cited: 11
An immune cell infiltration-related gene signature predicts prognosis for bladder cancer
Hualin Chen, Pan Yang, Xiaoxiang Jin, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 22
A Study on Bladder Cancer Detection using AI-based Learning Techniques
Apeksha Koul, Yogesh Kumar, Anish Gupta
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022)
Closed Access | Times Cited: 15
Bladder cancer biomarker screening based on non-targeted urine metabolomics
Jinkun Li, Bisheng Cheng, Hongbing Xie, et al.
International Urology and Nephrology (2021) Vol. 54, Iss. 1, pp. 23-29
Open Access | Times Cited: 19
Probing impact of molecular structure on bulk modulus and impact sensitivity of energetic materials by machine learning methods
Qianqian Deng, Peng Ji, Liying Wang, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 215, pp. 104331-104331
Closed Access | Times Cited: 18
Applications of artificial intelligence in urological setting: a hopeful path to improved care
Sung-Jong Eun, Jayoung Kim, Khae Hawn Kim
Journal of Exercise Rehabilitation (2021) Vol. 17, Iss. 5, pp. 308-312
Open Access | Times Cited: 17
Bladder cancer biomarkers: current approaches and future directions
Melika Ahangar, Frouzandeh Mahjoubi, Seyed Javad Mowla
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Evaluation of metabolomics behavior of human colon cancer HT29 cell lines treated with ionic liquid graviola fruit pulp extract
Djabir Daddiouaissa, Azura Amid, Muhamad Shirwan Abdullah Sani, et al.
Journal of Ethnopharmacology (2021) Vol. 270, pp. 113813-113813
Open Access | Times Cited: 15
A Serum Metabolomic Signature for the Detection and Grading of Bladder Cancer
Jacopo Troisi, Angelo Colucci, Pierpaolo Cavallo, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2835-2835
Open Access | Times Cited: 15
Diagnostics of Thyroid Cancer Using Machine Learning and Metabolomics
Alyssa Kuang, Valentina L. Kouznetsova, Santosh Kesari, et al.
Metabolites (2023) Vol. 14, Iss. 1, pp. 11-11
Open Access | Times Cited: 6
Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence
Nicholas Moore, A. McWilliam, Sanjay Aneja
Seminars in Radiation Oncology (2022) Vol. 33, Iss. 1, pp. 70-75
Closed Access | Times Cited: 10
Fibroblast Growth Factor 19 Improves LPS-Induced Lipid Disorder and Organ Injury by Regulating Metabolomic Characteristics in Mice
Tiantian Liu, Xiaomeng Tang, Yun Cui, et al.
Oxidative Medicine and Cellular Longevity (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 9
Plasm Metabolomics Study in Pulmonary Metastatic Carcinoma
Zixu Liu, Ling Wang, Minjun Du, et al.
Journal of Oncology (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 9
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