Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Rapid diagnosis of lung cancer and glioma based on serum Raman spectroscopy combined with deep learning
Chen Chen, Wei Wu, Cheng Chen, et al.
Journal of Raman Spectroscopy (2021) Vol. 52, Iss. 11, pp. 1798-1809
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion
Yafeng Qi, Yuhong Liu, Jianbin Luo
PhotoniX (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 58
Raman spectroscopy and FTIR spectroscopy fusion technology combined with deep learning: A novel cancer prediction method
Hongyong Leng, Cheng Chen, Chen Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 285, pp. 121839-121839
Closed Access | Times Cited: 46
Rapid and precise detection of cancers via label-free SERS and deep learning
Chang-Chun Xiong, Shanshan Zhu, Deng-Hui Yan, et al.
Analytical and Bioanalytical Chemistry (2023) Vol. 415, Iss. 17, pp. 3449-3462
Open Access | Times Cited: 36
Artificial intelligence-aided optical imaging for cancer theranostics
Mengze Xu, Zhiyi Chen, Junxiao Zheng, et al.
Seminars in Cancer Biology (2023) Vol. 94, pp. 62-80
Closed Access | Times Cited: 23
Raman-Based Techniques in Medical Applications for Diagnostic Tasks: A Review
Yulia А. Khristoforova, Lyudmila A. Bratchenko, Ivan А. Bratchenko
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 15605-15605
Open Access | Times Cited: 23
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis
Loredana Bellantuono, R. Tommasi, Ester Pantaleo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21
Advancing Brain Research through Surface-Enhanced Raman Spectroscopy (SERS): Current Applications and Future Prospects
Suzan Elsheikh, Nathan Coles, Ojodomo J. Achadu, et al.
Biosensors (2024) Vol. 14, Iss. 1, pp. 33-33
Open Access | Times Cited: 7
Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience
Ryma Boudries, Hannah Williams, Soraya Paquereau--Gaboreau, et al.
ACS Nano (2024) Vol. 18, Iss. 34, pp. 22620-22647
Closed Access | Times Cited: 7
Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature
Nathan Blake, Riana Gaifulina, Lewis D. Griffin, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1491-1491
Open Access | Times Cited: 34
Glycosylation spectral signatures for glioma grade discrimination using Raman spectroscopy
Agathe Quesnel, Nathan Coles, Claudio Angione, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 16
Identification of chronic non-atrophic gastritis and intestinal metaplasia stages in the Correa's cascade through machine learning analyses of SERS spectral signature of non-invasively-collected human gastric fluid samples
Yu-Ting Si, Xue-Song Xiong, Jinting Wang, et al.
Biosensors and Bioelectronics (2024) Vol. 262, pp. 116530-116530
Closed Access | Times Cited: 7
Cross Branch Co-Attention Network multimodal models based on Raman and FTIR spectroscopy for diagnosis of multiple selected cancers
Xuguang Zhou, Chen Chen, Enguang Zuo, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112204-112204
Closed Access | Times Cited: 5
Quaternion Pca and Machine Learning for Raman Spectroscopy-Based Type Ii Diabetes Mellitus Classification
Zhe Chu, Ailing Tan, Yunhao He, et al.
(2025)
Closed Access
Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease
Jie Yang, Xiaomei Chen, Cainan Luo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
A deep learning method for multi-task intelligent detection of oral cancer based on optical fiber Raman spectroscopy
Lianyu Li, Mingxin Yu, Xing Li, et al.
Analytical Methods (2024) Vol. 16, Iss. 11, pp. 1659-1673
Closed Access | Times Cited: 4
Power of Light: Raman Spectroscopy and Machine Learning for the Detection of Lung Cancer
Harun Hano, Charles H. Lawrie, Beatriz Suárez, et al.
ACS Omega (2024) Vol. 9, Iss. 12, pp. 14084-14091
Open Access | Times Cited: 4
Raman Spectroscopy: A Tool for Molecular Fingerprinting of Brain Cancer
Sivasubramanian Murugappan, Syed A. M. Tofail, Nanasaheb D. Thorat
ACS Omega (2023) Vol. 8, Iss. 31, pp. 27845-27861
Open Access | Times Cited: 11
Label-Free Surface-Enhanced Raman Spectroscopy with Machine Learning for the Diagnosis of Thyroid Cancer by Using Fine-Needle Aspiration Liquid Samples
Lili Gao, Siyi Wu, Puwasit Wongwasuratthakul, et al.
Biosensors (2024) Vol. 14, Iss. 8, pp. 372-372
Open Access | Times Cited: 3
Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra
Pietro Manganelli Conforti, Mario D’Acunto, Paolo Russo
Sensors (2022) Vol. 22, Iss. 19, pp. 7492-7492
Open Access | Times Cited: 16
R-GDORUS technology: Effectively solving the Raman spectral data imbalance in medical diagnosis
Chen Chen, Xue Wu, Enguang Zuo, et al.
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 235, pp. 104762-104762
Closed Access | Times Cited: 9
Fourier transform infrared spectroscopic marker of glioblastoma obtained from machine learning and changes in the spectra
Bartłomiej Tołpa, Joanna Depciuch, Paweł Jakubczyk, et al.
Photodiagnosis and Photodynamic Therapy (2023) Vol. 42, pp. 103550-103550
Closed Access | Times Cited: 8
Accurate identification of living Bacillus spores using laser tweezers Raman spectroscopy and deep learning
Fu‐Sheng Du, Lin He, Xiaoxu Lü, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 289, pp. 122216-122216
Closed Access | Times Cited: 11
Machine Learning of Raman Spectroscopy Data for Classifying Cancers: a Review of the Recent Literature
Nathan Blake, Riana Gaifulina, Lewis D. Griffin, et al.
(2022)
Open Access | Times Cited: 9
Serum Raman spectroscopy combined with multiple classification models for rapid diagnosis of breast cancer
Hongtao Li, Shanshan Wang, Qinggang Zeng, et al.
Photodiagnosis and Photodynamic Therapy (2022) Vol. 40, pp. 103115-103115
Closed Access | Times Cited: 9
A deep learning model designed for Raman spectroscopy with a novel hyperparameter optimization method
An Sui, Yinhui Deng, Yuanyuan Wang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 280, pp. 121560-121560
Closed Access | Times Cited: 8
Page 1 - Next Page

Scroll to top