Yaoyuan Wang

565 total citations
24 papers, 378 citations indexed

About

Yaoyuan Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yaoyuan Wang has authored 24 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Yaoyuan Wang's work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Yaoyuan Wang is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Yaoyuan Wang collaborates with scholars based in China, Hong Kong and Canada. Yaoyuan Wang's co-authors include Luping Shi, Huanglong Li, Ziyang Zhang, Ziyang Zhang, Rong Zhao, Guoqi Li, Mingyuan Ma, Yujie Wu, Xinglong Ji and Litao Sun and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Small.

In The Last Decade

Yaoyuan Wang

24 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaoyuan Wang China 11 261 118 74 62 62 24 378
Seongsik Park South Korea 10 414 1.6× 68 0.6× 59 0.8× 176 2.8× 115 1.9× 56 613
Morteza Hosseini United States 10 446 1.7× 144 1.2× 71 1.0× 170 2.7× 223 3.6× 19 607
Sang‐Hui Park South Korea 15 285 1.1× 95 0.8× 129 1.7× 143 2.3× 58 0.9× 47 685
Arnab Neelim Mazumder United States 8 441 1.7× 132 1.1× 65 0.9× 127 2.0× 207 3.3× 19 578
Rajkumar Kubendran United States 9 723 2.8× 212 1.8× 27 0.4× 101 1.6× 146 2.4× 26 808
Shaogang Hu China 10 409 1.6× 166 1.4× 18 0.2× 73 1.2× 80 1.3× 36 459
Mengyun Liu United States 11 366 1.4× 64 0.5× 54 0.7× 11 0.2× 94 1.5× 35 454
Vinay Joshi Switzerland 7 406 1.6× 73 0.6× 37 0.5× 38 0.6× 140 2.3× 10 456
Yukun Ding United States 7 227 0.9× 47 0.4× 84 1.1× 27 0.4× 140 2.3× 14 394
Shanshi Huang United States 15 968 3.7× 160 1.4× 126 1.7× 35 0.6× 230 3.7× 29 1.1k

Countries citing papers authored by Yaoyuan Wang

Since Specialization
Citations

This map shows the geographic impact of Yaoyuan Wang'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 Yaoyuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaoyuan Wang more than expected).

Fields of papers citing papers by Yaoyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaoyuan Wang. 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 Yaoyuan Wang. The network helps show where Yaoyuan Wang may publish in the future.

Co-authorship network of co-authors of Yaoyuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoyuan Wang. A scholar is included among the top collaborators of Yaoyuan Wang 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 Yaoyuan Wang. Yaoyuan Wang 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.
Wu, Xiaoshan, Weihua He, Man Yao, et al.. (2024). Event-Based Depth Prediction With Deep Spiking Neural Network. IEEE Transactions on Cognitive and Developmental Systems. 16(6). 2008–2018. 2 indexed citations
2.
Yu, Lei, Weihua He, Yaoyuan Wang, et al.. (2024). Event-Assisted Blurriness Representation Learning for Blurry Image Unfolding. IEEE Transactions on Image Processing. 33. 5824–5836. 1 indexed citations
3.
You, Kaichao, Weihua He, Yaoyuan Wang, et al.. (2023). Event-Based Semantic Segmentation With Posterior Attention. IEEE Transactions on Image Processing. 32. 1829–1842. 20 indexed citations
4.
Bian, Yulong, et al.. (2023). Exploring user experience and performance of a tedious task through human–agent relationship. Scientific Reports. 13(1). 2995–2995. 6 indexed citations
5.
Wang, Dongsheng, Xu Jia, Yang Zhang, et al.. (2023). Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2492–2500. 9 indexed citations
6.
Wang, Peng, et al.. (2023). Research on the Recognition Algorithm of Circuit Board Welding Defects Based on Machine Vision. IEEE Instrumentation & Measurement Magazine. 26(8). 4–9. 3 indexed citations
7.
Wen, Yu‐Hui, et al.. (2023). Continuously Controllable Facial Expression Editing in Talking Face Videos. IEEE Transactions on Affective Computing. 15(3). 1400–1413. 7 indexed citations
8.
Zhao, Wang, et al.. (2022). Deep Reinforcement Learning for Robot Collision Avoidance With Self-State-Attention and Sensor Fusion. IEEE Robotics and Automation Letters. 7(3). 6886–6893. 34 indexed citations
9.
He, Weihua, Kaichao You, Jia Xu, et al.. (2022). TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17783–17792. 21 indexed citations
10.
Zhang, Yuhan, Minglei Li, Ziyang Zhang, et al.. (2022). Meta Talk: Learning To Data-Efficiently Generate Audio-Driven Lip-Synchronized Talking Face With High Definition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4848–4852. 7 indexed citations
11.
Zhang, Yuhan, Weihua He, Ziyang Zhang, et al.. (2021). An Event-Driven Spatiotemporal Domain Adaptation Method for DVS Gesture Recognition. IEEE Transactions on Circuits & Systems II Express Briefs. 69(3). 1332–1336. 6 indexed citations
12.
Zhang, Wenli, Yaoyuan Wang, Xinglong Ji, Yujie Wu, & Rong Zhao. (2021). ROA: A Rapid Learning Scheme for In-Situ Memristor Networks. Frontiers in Artificial Intelligence. 4. 692065–692065. 5 indexed citations
13.
Wang, Yaoyuan, et al.. (2020). High Robustness Memristor Neural State Machines. ACS Applied Electronic Materials. 2(11). 3633–3642. 13 indexed citations
14.
Wang, Yaoyuan, Ziyang Zhang, Mingkun Xu, et al.. (2019). Self-Doping Memristors with Equivalently Synaptic Ion Dynamics for Neuromorphic Computing. ACS Applied Materials & Interfaces. 11(27). 24230–24240. 41 indexed citations
15.
Zhang, Ziyang, Yaoyuan Wang, Mingyuan Ma, et al.. (2018). Electrochemical metallization cell with solid phase tunable Ge2Sb2Te5 electrolyte. Scientific Reports. 8(1). 12101–12101. 16 indexed citations
16.
Zhang, Ziyang, Yaoyuan Wang, Yan Luo, et al.. (2018). Electrochemical metallization cell with anion supplying active electrode. Scientific Reports. 8(1). 12617–12617. 11 indexed citations
17.
Zhang, Ziyang, Yaoyuan Wang, Huanglong Li, et al.. (2018). Engineering the Synaptic Kinetic Process into Memristive Device. Advanced Electronic Materials. 4(6). 4 indexed citations
18.
Zhang, Yishu, Wei He, Yujie Wu, et al.. (2018). Highly Compact Artificial Memristive Neuron with Low Energy Consumption. Small. 14(51). e1802188–e1802188. 107 indexed citations
19.
Wang, Yaoyuan, Ziyang Zhang, Huanglong Li, & Luping Shi. (2018). Realizing Bidirectional Threshold Switching in Ag/Ta2O5/Pt Diffusive Devices for Selector Applications. Journal of Electronic Materials. 48(1). 517–525. 20 indexed citations
20.
Wang, Kexin, et al.. (2015). Dual-Carrier 400G Field Trial Submarine Transmission over 6,577-km using 60-GBaud Digital Faster-Than-Nyquist Shaping PDM-QPSK Modulation Format. Optical Fiber Communication Conference. W3E.2–W3E.2. 7 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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