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Materials Science & Engineering. C, Materials for Biological Applications|September 10, 2017
808nm light triggered black TiO<sub>2</sub> nanoparticles for killing of bladder cancer cellsWenjun Ni, Meng Li, Jiayi Cui, et al.Journal of Colloid and Interface Science|September 10, 2020
Cadmium sulfide quantum dots/dodecahedral polyoxometalates/oxygen-doped mesoporous graphite carbon nitride with Z-scheme and Type-II as tandem heterojunctions for boosting visible-light-driven photocatalytic performanceYalu Qiu, Zipeng Xing, Meijun Guo, et al.Scientific Reports|February 7, 2017
Black TiO<sub>2</sub> nanobelts/g-C<sub>3</sub>N<sub>4</sub> nanosheets Laminated Heterojunctions with Efficient Visible-Light-Driven Photocatalytic PerformanceLiyan Shen, Zipeng Xing, Jinlong Zou, et al.Chemsuschem|July 29, 2024
Integrated Cyano Groups into the Skeleton of Conjugated Polymers to Activate Molecular Oxygen for Boosting Photocatalytic H<sub>2</sub>O<sub>2</sub> EfficiencyQing Wang, Wenjiao Wang, Liping Guo, et al.Analytica Chimica Acta|March 31, 2019
WaveICA: A novel algorithm to remove batch effects for large-scale untargeted metabolomics data based on wavelet analysisKui Deng, Fan Zhang, Qilong Tan, et al.Analytical Chemistry|March 25, 2020
NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics DataZhiwei Rong, Qilong Tan, Lei Cao, et al.Gynecologic Oncology|July 14, 2018
Sites of distant metastases and overall survival in ovarian cancer: A study of 1481 patientsKui Deng, Chunyan Yang, Qilong Tan, et al.Acta Oncologica (Stockholm, Sweden)|January 31, 2012
Identification of metabolic biomarkers to diagnose epithelial ovarian cancer using a UPLC/QTOF/MS platformLijun Fan, Wang Zhang, Mingzhu Yin, et al.Journal of Proteome Research|November 21, 2012
Identification of potential biomarkers for ovarian cancer by urinary metabolomic profilingTao Zhang, Xiaoyan Wu, Chaofu Ke, et al.Journal of Cellular Biochemistry|February 8, 2020
Identification immunophenotyping of lung adenocarcinomas based on the tumor microenvironmentQilong Tan, Yue Huang, Kui Deng, et al.Pageof 9