Yao Tang

936 total citations
39 papers, 747 citations indexed

About

Yao Tang is a scholar working on Biomedical Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Yao Tang has authored 39 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 10 papers in Artificial Intelligence and 8 papers in Computational Theory and Mathematics. Recurrent topics in Yao Tang's work include Quantum Computing Algorithms and Architecture (7 papers), Quantum-Dot Cellular Automata (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Yao Tang is often cited by papers focused on Quantum Computing Algorithms and Architecture (7 papers), Quantum-Dot Cellular Automata (7 papers) and Nanoplatforms for cancer theranostics (7 papers). Yao Tang collaborates with scholars based in China, United States and Spain. Yao Tang's co-authors include Changzhi Li, Zhengyu Peng, Roberto Gómez‐García, Lixin Ran, Chenhui Liu, Yufang Xu, Weiping Zhu, Di Cheng, Xuhong Qian and Ming Lei and has published in prestigious journals such as Applied Catalysis B: Environmental, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Yao Tang

38 papers receiving 733 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yao Tang China 15 465 146 139 98 79 39 747
Xianghui Liu China 15 131 0.3× 44 0.3× 160 1.2× 91 0.9× 22 0.3× 63 877
Kwang‐Jin Kim South Korea 17 240 0.5× 76 0.5× 221 1.6× 212 2.2× 103 1.3× 58 926
Xingyu He China 15 195 0.4× 231 1.6× 82 0.6× 111 1.1× 36 0.5× 64 621
Li Zha China 16 198 0.4× 41 0.3× 38 0.3× 75 0.8× 30 0.4× 49 573
Yin Wang China 22 117 0.3× 163 1.1× 130 0.9× 33 0.3× 43 0.5× 89 1.2k
Bin Kong China 17 100 0.2× 57 0.4× 227 1.6× 74 0.8× 57 0.7× 71 842
Haijun Shen China 23 566 1.2× 440 3.0× 377 2.7× 264 2.7× 349 4.4× 56 1.7k
Xuan Wei China 18 349 0.8× 59 0.4× 290 2.1× 386 3.9× 53 0.7× 60 1.2k
Jiajia Shi China 15 115 0.2× 48 0.3× 157 1.1× 199 2.0× 60 0.8× 68 639
Yi Lin China 18 143 0.3× 50 0.3× 347 2.5× 202 2.1× 21 0.3× 51 1.1k

Countries citing papers authored by Yao Tang

Since Specialization
Citations

This map shows the geographic impact of Yao Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Tang more than expected).

Fields of papers citing papers by Yao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yao Tang. The network helps show where Yao Tang may publish in the future.

Co-authorship network of co-authors of Yao Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Tang. A scholar is included among the top collaborators of Yao Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yao Tang. Yao Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Kun, Tao Shang, Yao Tang, & Jianwei Liu. (2024). Zero-correlation linear analysis for block ciphers based on the Bernstein–Vazirani and Grover algorithms. Quantum Information Processing. 23(8).
2.
Shang, Tao, et al.. (2024). Multi-party quantum Byzantine consensus based on full quantum one-way function. Quantum Information Processing. 24(1). 1 indexed citations
3.
Shang, Tao, et al.. (2023). Quantum Obfuscation of Generalized Quantum Power Functions with Coefficient. Entropy. 25(11). 1524–1524. 1 indexed citations
4.
Xing, Wenqian, Yao Tang, Di Cheng, et al.. (2023). Engineering near-infrared laser-activated gold nanorod vesicles with upper critical solution temperature for photothermal therapy and chemotherapy. Journal of Colloid and Interface Science. 640. 41–51. 15 indexed citations
5.
Shang, Tao, et al.. (2023). Quantum hash function based on controlled alternate lively quantum walks. Scientific Reports. 13(1). 5887–5887. 10 indexed citations
6.
Tang, Yao, Tao Shang, & Jianwei Liu. (2023). Dynamic full quantum one-way function based on quantum circuit mapping. Quantum Information Processing. 22(8). 3 indexed citations
7.
Li, Jing, Guoyun Zhou, Yan Hong, et al.. (2022). Highly sensitive, flexible and wearable piezoelectric motion sensor based on PT promoted β-phase PVDF. Sensors and Actuators A Physical. 337. 113415–113415. 53 indexed citations
8.
Lei, Ming, Yao Tang, Li Zhu, & Heqing Tang. (2022). Chemical reductive technologies for the debromination of polybrominated diphenyl ethers: A review. Journal of Environmental Sciences. 127. 42–59. 17 indexed citations
9.
Sun, Yuxin, Di Cheng, Bin Wang, et al.. (2022). NIR Activated Upper Critical Solution Temperature Polymeric Micelles for Trimodal Combinational Cancer Therapy. Biomacromolecules. 23(3). 937–947. 14 indexed citations
10.
Wu, Guanzhao, Yangxue Liu, Yao Tang, et al.. (2021). Asymmetric Catalytic Approach to Multilayer 3D Chirality. Chemistry - A European Journal. 27(30). 7977–7977. 6 indexed citations
11.
Lei, Ming, Yao Tang, Huimin Wang, et al.. (2021). A catalytic strategy for rapid cleavage of C-Cl bond under mild conditions: Effects of active hydrogen induced by Pd nanoparticles on the complete dechlorination of chlorobenzenes. Chemical Engineering Journal. 419. 129510–129510. 37 indexed citations
12.
Cheng, Di, Bin Wang, Yuyu Wang, et al.. (2021). Dual-responsive nanohybrid based on degradable silica-coated gold nanorods for triple-combination therapy for breast cancer. Acta Biomaterialia. 128. 435–446. 62 indexed citations
13.
Tang, Yao, Chenglin Yi, Di Cheng, et al.. (2020). Self-accelerating H2O2-responsive Plasmonic Nanovesicles for Synergistic Chemo/starving therapy of Tumors. Theranostics. 10(19). 8691–8704. 49 indexed citations
14.
Tang, Yao, Hongyuan Shi, Di Cheng, et al.. (2019). pH-Activatable tumor-targeting gold nanoprobe for near-infrared fluorescence/CT dual-modal imaging in vivo. Colloids and Surfaces B Biointerfaces. 179. 56–65. 23 indexed citations
15.
Wang, Lijuan, et al.. (2018). Change detection for mine environment based on domestic high resolution satellite images. Guotu ziyuan yaogan. 30(3). 151–158. 2 indexed citations
16.
Tang, Yao, Jing Wang, & Changzhi Li. (2017). Short-range indoor localization using a hybrid doppler-UWB system. 1011–1014. 16 indexed citations
17.
Tang, Yao, Zhengyu Peng, Lixin Ran, & Changzhi Li. (2016). iPrevent: A novel wearable radio frequency range detector for fall prevention. 1–3. 8 indexed citations
18.
Peng, Zhengyu, et al.. (2016). A step forward towards radar sensor networks for structural health monitoring of wind turbines. 23–25. 13 indexed citations
19.
Tang, Yao & Changzhi Li. (2015). Wearable indoor position tracking using onboard K-band Doppler radar and digital gyroscope. 76–77. 8 indexed citations
20.
Guo, Huinan, et al.. (2013). A novel color constancy algorithm based on gray-curve regulation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8878. 88784F–88784F. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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