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:

Highly accurate diagnosis of lung adenocarcinoma and squamous cell carcinoma tissues by deep learning
Yafeng Qi, Lin Yang, Bangxu Liu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2021) Vol. 265, pp. 120400-120400
Closed Access | Times Cited: 30

Showing 1-25 of 30 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: 63
Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Yunchao Xie, Kianoosh Sattari, Chi Zhang, et al.
Progress in Materials Science (2022) Vol. 132, pp. 101043-101043
Open Access | Times Cited: 54
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: 25
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
High-Precision Intelligent Cancer Diagnosis Method: 2D Raman Figures Combined with Deep Learning
Yafeng Qi, Guochao Zhang, Lin Yang, et al.
Analytical Chemistry (2022) Vol. 94, Iss. 17, pp. 6491-6501
Closed Access | Times Cited: 31
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: 22
Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 8
Deep learning methods for oral cancer detection using Raman spectroscopy
Xiaohan Chang, Mingxin Yu, Renyu Liu, et al.
Vibrational Spectroscopy (2023) Vol. 126, pp. 103522-103522
Closed Access | Times Cited: 16
RaT: Raman Transformer for highly accurate melanoma detection with critical features visualization
Min Chang, Chen He, Yi Du, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 305, pp. 123475-123475
Closed Access | Times Cited: 13
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: 5
SERS based determination of ceftriaxone, ampicillin, and vancomycin in serum using WS2/Au@Ag nanocomposites and a 2D-CNN regression model
Ying Cao, Yuxin Yang, Wenpeng Zhao, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 333, pp. 125850-125850
Closed Access
Advancing clinical diagnostics: the potential of analytical Raman spectroscopy in oncology, dermatology, and diabetes
Rabia’tul A’dawiah, Alex Jie Yap, Poongkulali Rajarahm, et al.
Applied Spectroscopy Reviews (2025), pp. 1-56
Closed Access
Rapid proximate analysis of coal based on reflectance spectroscopy and deep learning
Dong Xiao, Zelin Yan, Jian Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 287, pp. 122042-122042
Closed Access | Times Cited: 17
A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR
Haijun Yang, Xianchang Li, Shiding Zhang, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 289, pp. 122210-122210
Closed Access | Times Cited: 16
Differentiating between pulmonary adenocarcinoma and squamous cell carcinoma by spectral CT volumetric quantitative analysis: a comparative study with conventional spectral analysis
Lijuan Zhong, Na Yu, Xinjie Zhou, et al.
Journal of Thoracic Disease (2023) Vol. 15, Iss. 2, pp. 679-689
Open Access | Times Cited: 8
Label-free SERS detection of prostate cancer based on multi-layer perceptron surrogate model method
Houyang Ge, Xingen Gao, Juqiang Lin, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 304, pp. 123407-123407
Closed Access | Times Cited: 8
Evaluation and Exploration of Machine Learning and Convolutional Neural Network Classifiers in Detection of Lung Cancer from Microarray Gene—A Paradigm Shift
M S Karthika, Harikumar Rajaguru, Ajin R Nair
Bioengineering (2023) Vol. 10, Iss. 8, pp. 933-933
Open Access | Times Cited: 7
Deep multi-feature fusion residual network for oral squamous cell carcinoma classification and its intelligent system using Raman spectroscopy
Mingxin Yu, Jingya Ding, Wanquan Liu, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105339-105339
Closed Access | Times Cited: 7
The application of Raman spectroscopy for the diagnosis and monitoring of lung tumors
Yuyang Miao, Lihong Wu, Junlian Qiang, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 2
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: 10
ResNet models for rapid identification of species and geographical origin of wild boletes from Yunnan, and MaxEnt model for delineation of potential distribution
Xiong Chen, Honggao Liu, Jie Qing Li, et al.
Journal of Chemometrics (2022) Vol. 36, Iss. 11
Closed Access | Times Cited: 8
A Deep-Learning-Based Artificial Intelligence System for the Pathology Diagnosis of Uterine Smooth Muscle Tumor
Haiyun Yu, Shaoze Luo, Junyu Ji, et al.
Life (2022) Vol. 13, Iss. 1, pp. 3-3
Open Access | Times Cited: 8
Differentiation of pathological subtypes and Ki-67 and TTF-1 expression by dual-energy CT (DECT) volumetric quantitative analysis in non-small cell lung cancer
Yuting Wu, Jingxu Li, Li Ding, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Aiming AI at Cancer-Related Biomarkers
Mike May
Inside Precision Medicine (2024) Vol. 11, Iss. 1, pp. 12-16
Closed Access
Accurate categorization and rapid pathological diagnosis correction with Micro-Raman technique in human lung adenocarcinoma infiltration level
Bo Dai, Dong Han, Yufei Miao, et al.
Translational Lung Cancer Research (2024) Vol. 13, Iss. 4, pp. 885-900
Open Access
Page 1 - Next Page

Scroll to top