Yu Wang

17.8k total citations · 3 hit papers
664 papers, 11.9k citations indexed

About

Yu Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu Wang has authored 664 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 286 papers in Electrical and Electronic Engineering, 125 papers in Computer Networks and Communications and 123 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yu Wang's work include Advanced Memory and Neural Computing (98 papers), Ferroelectric and Negative Capacitance Devices (78 papers) and Parallel Computing and Optimization Techniques (69 papers). Yu Wang is often cited by papers focused on Advanced Memory and Neural Computing (98 papers), Ferroelectric and Negative Capacitance Devices (78 papers) and Parallel Computing and Optimization Techniques (69 papers). Yu Wang collaborates with scholars based in China, United States and Taiwan. Yu Wang's co-authors include Huazhong Yang, Yuan Xie, Lixue Xia, Yongpan Liu, Jishen Zhao, Boxun Li, Shuangchen Li, Cong Xu, Ping Chi and Tao Zhang and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Yu Wang

610 papers receiving 11.6k citations

Hit Papers

PRIME 2016 2026 2019 2022 2016 2016 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Wang China 55 6.5k 1.9k 1.9k 1.9k 1.7k 664 11.9k
Qiang Xu China 49 5.0k 0.8× 1.8k 0.9× 767 0.4× 1.3k 0.7× 2.8k 1.6× 395 9.6k
Yiran Chen United States 66 9.1k 1.4× 3.6k 1.9× 5.0k 2.6× 3.8k 2.0× 2.5k 1.5× 601 17.4k
Neil Gershenfeld United States 35 2.1k 0.3× 500 0.3× 651 0.3× 2.1k 1.1× 1.1k 0.7× 125 8.4k
Abhishek Kumar India 51 2.4k 0.4× 1.3k 0.7× 1.9k 1.0× 2.5k 1.3× 218 0.1× 482 11.5k
Xiaowei Li China 36 3.3k 0.5× 1.4k 0.7× 1.4k 0.8× 1.3k 0.7× 2.0k 1.2× 665 7.2k
Feng Zhou United States 52 813 0.1× 739 0.4× 1.4k 0.7× 1.3k 0.7× 365 0.2× 263 8.9k
Yanzhi Wang United States 45 3.7k 0.6× 1.4k 0.7× 1.8k 0.9× 2.1k 1.1× 668 0.4× 413 8.4k
Yuanyuan Yang United States 56 6.0k 0.9× 7.8k 4.0× 678 0.4× 1.5k 0.8× 272 0.2× 679 13.8k
Jie Han Canada 46 7.1k 1.1× 983 0.5× 400 0.2× 1.0k 0.6× 1.9k 1.1× 258 8.9k
Yu‐Hsin Chen United States 29 2.8k 0.4× 634 0.3× 2.5k 1.3× 1.9k 1.0× 861 0.5× 128 6.9k

Countries citing papers authored by Yu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Wang. A scholar is included among the top collaborators of Yu 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 Yu Wang. Yu 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.
Wang, Yu, et al.. (2025). Rank-Based Nonparametric Methods for Evaluating Treatment Equivalence in AB/BA Crossover Trial Designs. Journal of Systems Science and Complexity.
2.
Xie, Ruobing, et al.. (2025). DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models. 3555–3564. 1 indexed citations
4.
Zhong, Kai, Shulin Zeng, Zhenhua Zhu, et al.. (2024). DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. 1–6.
5.
Zhu, Zhenhua, Hanbo Sun, Xuefei Ning, et al.. (2024). Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. IEEE Transactions on Circuits and Systems for Video Technology. 34(9). 8053–8066. 5 indexed citations
6.
Cao, Peng, et al.. (2023). Subthreshold Delay Variation Model Considering Transitional Region for Input Slew. Electronics. 12(3). 615–615. 1 indexed citations
8.
Zeng, Shulin, Zhenhua Zhu, Guohao Dai, et al.. (2023). DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 283–296. 9 indexed citations
9.
Ming, Wuyi, Peiyan Sun, Zhen Zhang, et al.. (2022). A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring. International Journal of Hydrogen Energy. 48(13). 5197–5228. 135 indexed citations
10.
Cai, Yi, Juejian Wu, Zhenhua Zhu, et al.. (2021). Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing With Ferroelectric FETs. IEEE Transactions on Circuits & Systems II Express Briefs. 68(7). 2262–2266. 24 indexed citations
11.
Cai, Yi, Yujun Lin, Lixue Xia, et al.. (2020). Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 4707–4720. 7 indexed citations
12.
Chen, Wei-Hao, Win-San Khwa, Junyi Li, et al.. (2017). Circuit design for beyond von Neumann applications using emerging memory: From nonvolatile logics to neuromorphic computing. 23–28. 23 indexed citations
13.
Li, Li, et al.. (2010). PS-FPG: pattern selection based co-design of floorplan and power/ground network with wiring resource optimization. Asia and South Pacific Design Automation Conference. 769–774.
14.
Xie, Yuan, et al.. (2010). Three-dimensional integrated circuits (3D IC) floorplan and power/ground network co-synthesis. Asia and South Pacific Design Automation Conference. 169–174. 27 indexed citations
15.
Hu, Yan, et al.. (2009). Defect detection and characteristics description of auto hub radiographic image based on SUSAN operation. WSEAS Transactions on Mathematics archive. 8(7). 289–298. 1 indexed citations
16.
Liu, Weichen, Zonghua Gu, Jiang Xu, Yu Wang, & Mingxuan Yuan. (2009). An efficient technique for analysis of minimal buffer requirements of synchronous dataflow graphs with model checking. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 61–70. 21 indexed citations
17.
Wang, Yu. (2003). The Measurement Varying Weight Evaluation of Unascertained Threats from Air Targets in Key-point Air Defence. Systems Engineering - Theory & Practice.
18.
Wang, Yu-Pin, et al.. (1999). Synthesis, spectra and crystal structure of (E)-(CO)2(NO)Cr[(η5-C5H4)–CHCH(η5-C5H4)]Cr(CO)2(NO). Journal of Organometallic Chemistry. 575(2). 310–319. 12 indexed citations
19.
Wang, Yu. (1999). Vascular Low Level Laser Irradiation Therapy in Treatment of Brain Injury. Jiguang shengwu xuebao. 2 indexed citations
20.
Wang, Yu-Pin, et al.. (1990). Friedel-Crafts acetylation of (CO)2(NO)Cr(h5-C5H4)CH2-(h5-C5H4)Fe(h5-C5H5) and X-ray structure of (CO)2(NO)Cr-(h5-C5H4)CH2[h5-(3-acetyl)C5H3]Fe(h5-C5H5). Journal of Organometallic Chemistry. 386(1). 79–93. 2 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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