Yaoyao Tang - Concepedia

Author

Yaoyao Tang

China University of Petroleum, Beijing ORCID

Also Known As

Qi Fang, Yaoyao Tang

Publications

471

Citations

H-Index

Concepts

All Affiliations

China University of Petroleum, Beijing Chinese PLA General Hospital California State University Los Angeles State Key Laboratory of Heavy Oil

About

Yaoyao Tang is an author at China University of Petroleum, Beijing specializing in engineering, molecular imaging, and biomedical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	121
2	Natural Sciences	1	1	16
3	Applied Physics	1	1	13
4	Biomedical Engineering	1	1	45
5	Biomolecular Engineering	1	1	12

Yaoyao Tang

Publications

364

Citations

H-Index

Page 1

	Year	Citations
Recent progress of quantum dots for energy storage applications Quan Xu, Yingchun Niu, Jiapeng Li, Carbon Neutrality	2022	158
Bi-doped carbon quantum dots functionalized liposomes with fluorescence visualization imaging for tumor diagnosis and treatment Peide Zhu, Yangjia Liu, Yaoyao Tang, Chinese Chemical Letters NanoparticlesNanomedicineEngineeringTumor DiagnosisNanobiotechnology	2023	45
Exploring multi-element co-doped carbon dots as dual-mode probes for fluorescence/CT imaging Peide Zhu, Xuelin Zhao, Qingyan Zhu, Chemical Engineering Journal	2023	45
Construction of interfacial electric field via Bimetallic Mo2Ti2C3 QDs/g-C3N4 heterojunction achieves efficient photocatalytic hydrogen evolution Lan Ding, Yaoyao Tang, Siyang Wang, Journal of Colloid and Interface Science Materials ScienceInterfacial Electric FieldEngineeringPhotochemistryPhotocatalysis	2023	35
Machine learning guided microwave-assisted quantum dot synthesis and an indication of residual H<sub>2</sub>O<sub>2</sub> in human teeth Quan Xu, Yaoyao Tang, Peide Zhu, Nanoscale	2022	30
Machine learning assists the sensor array constructed by the tri-emission carbon dots to detect multiple metal ions Yaoyao Tang, Peide Zhu, Quan Xu, Microchemical Journal Tri-emission Carbon DotsChemical EngineeringSensor ApplicationEngineeringMachine Learning	2024	16
Machine learning guided full-color V<sub>4</sub>C<sub>3</sub> MXene quantum dots for building WLEDs Shouzhen Li, Huayu Zheng, Lan Ding, Journal of Materials Chemistry C Materials SciencePhotoluminescenceEngineeringGraphene Quantum DotNanomaterials	2022	13
Solvothermal regulation of fluorescence quantum yield of carbon dots derived from biomass for zebrafish imaging Yao Liu, Yaoyao Tang, Quan Xu, Journal of Luminescence EngineeringNovel Imaging MethodBiomedical ImagingSingle-molecule DetectionSolvothermal Regulation	2024	12
Expediting carbon dots synthesis by the active adaptive method with machine learning and applications in dental diagnosis and treatment Yaoyao Tang, Quan Xu, Xinyao Zhang, Nano Research	2024	10

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