Yuan Du

1.2k total citations
99 papers, 687 citations indexed

About

Yuan Du is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yuan Du has authored 99 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Electrical and Electronic Engineering, 21 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Yuan Du's work include Radio Frequency Integrated Circuit Design (21 papers), Advanced Memory and Neural Computing (20 papers) and Advanced Neural Network Applications (15 papers). Yuan Du is often cited by papers focused on Radio Frequency Integrated Circuit Design (21 papers), Advanced Memory and Neural Computing (20 papers) and Advanced Neural Network Applications (15 papers). Yuan Du collaborates with scholars based in China, United States and Taiwan. Yuan Du's co-authors include Li Du, Mau-Chung Frank Chang, Yilei Li, Yen‐Cheng Kuan, Junjie Su, Yanghyo Kim, Boyu Hu, Adrian Tang, Zhongfeng Wang and Zhengye Liu and has published in prestigious journals such as Sensors, IEEE Journal of Solid-State Circuits and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Yuan Du

75 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Du China 12 465 175 112 84 58 99 687
Rameez Asif United Kingdom 17 584 1.3× 129 0.7× 225 2.0× 219 2.6× 56 1.0× 106 1.0k
Ye Lü China 15 440 0.9× 250 1.4× 124 1.1× 54 0.6× 111 1.9× 48 897
Eiji Kamioka Japan 10 107 0.2× 91 0.5× 37 0.3× 163 1.9× 9 0.2× 119 420
Jia Lee China 12 187 0.4× 63 0.4× 123 1.1× 164 2.0× 15 0.3× 68 590
Ben Wu United States 15 579 1.2× 101 0.6× 351 3.1× 44 0.5× 8 0.1× 55 706
Huanrui Yang United States 13 252 0.5× 232 1.3× 277 2.5× 54 0.6× 10 0.2× 31 599
Huang Wei China 11 197 0.4× 72 0.4× 59 0.5× 300 3.6× 53 0.9× 64 613
Kai He China 17 147 0.3× 94 0.5× 428 3.8× 42 0.5× 16 0.3× 58 820
Yanling Chen Germany 12 238 0.5× 141 0.8× 90 0.8× 158 1.9× 44 0.8× 73 508
Tao B. Schardl United States 11 122 0.3× 142 0.8× 150 1.3× 298 3.5× 24 0.4× 27 644

Countries citing papers authored by Yuan Du

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Du. A scholar is included among the top collaborators of Yuan Du 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 Yuan Du. Yuan Du 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.
Du, Yuan, et al.. (2024). An 11T1C Bit-Level-Sparsity-Aware Computing- in-Memory Macro With Adaptive Conversion Time and Computation Voltage. IEEE Transactions on Circuits and Systems I Regular Papers. 71(11). 4985–4995. 1 indexed citations
2.
Du, Yuan, et al.. (2024). A Compilation Framework for SRAM Computing-in-Memory Systems With Optimized Weight Mapping and Error Correction. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(8). 2379–2392. 2 indexed citations
3.
Zhang, Rongyu, Huanrui Yang, Denis Gudovskiy, et al.. (2024). VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. 5451–5459. 3 indexed citations
5.
Zhang, Xiaopeng, et al.. (2024). An Area-Efficient CNN Accelerator Supporting Global Average Pooling with Arbitrary Shapes. 413–416. 2 indexed citations
6.
Du, Yuan, et al.. (2024). Channel Capacity Analysis of Mid-Range Multigigabit Transmission Over Dielectric Waveguides. IEEE Transactions on Microwave Theory and Techniques. 73(5). 2512–2522.
7.
Du, Li, et al.. (2024). Low-Latency DAE: A Configurable Lightweight Hybrid Data and Address Encryption Engine for IoT Real-Time NVM Protection. IEEE Internet of Things Journal. 12(7). 8438–8452.
8.
Liu, Jiaming, et al.. (2023). BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection. IEEE Transactions on Intelligent Vehicles. 9(1). 2489–2498. 11 indexed citations
9.
Liu, Yujia, et al.. (2023). Low-Latency PAE: Permutation-Based Address Encryption Hardware Engine for IoT Real-Time Memory Protection. IEEE Internet of Things Journal. 11(7). 12319–12330. 1 indexed citations
10.
Zhao, Ning, et al.. (2023). An Efficient CNN Inference Accelerator Based on Intra- and Inter-Channel Feature Map Compression. IEEE Transactions on Circuits and Systems I Regular Papers. 70(9). 3625–3638. 2 indexed citations
11.
Lu, Xin, et al.. (2023). SSM-CIM: An Efficient CIM Macro Featuring Single-Step Multi-bit MAC Computation for CNN Edge Inference. IEEE Transactions on Circuits and Systems I Regular Papers. 70(11). 4357–4368. 10 indexed citations
12.
Du, Li, et al.. (2023). A 31–46 GHz Dual-Core Class-C VCO Using Switchable Transformers in 28-nm CMOS. IEEE Microwave and Wireless Technology Letters. 33(9). 1341–1344. 2 indexed citations
13.
Wang, Leilei, Qi Sun, Zijiang Yang, et al.. (2023). Optical Circuit Switching Using REC-DFB Laser Array. Journal of Lightwave Technology. 42(8). 2880–2886. 4 indexed citations
14.
Zhang, Yuhang, Yanhan Zeng, Zhihong Luo, et al.. (2023). Design of All-Digital Two Phase Ping-Pong Switched Capacitor Voltage Doubler Power Converter. IEEE Transactions on Circuits & Systems II Express Briefs. 70(10). 3807–3811. 1 indexed citations
16.
Du, Yuan, et al.. (2023). An Energy-Efficient Spiking Neural Network Accelerator Based on Spatio-Temporal Redundancy Reduction. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(4). 782–786. 2 indexed citations
17.
Du, Yuan, et al.. (2021). Characterization of Programmable Charge-Trap Transistors (CTTs) in Standard 28-nm CMOS for Nonvolatile Memory and Analog Arithmetic Applications. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 7(1). 10–17. 4 indexed citations
18.
Du, Yuan, et al.. (2018). An Analog Neural Network Computing Engine Using CMOS-Compatible Charge-Trap-Transistor (CTT). IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(10). 1811–1819. 28 indexed citations
19.
Li, Yilei, Yuan Du, Li Du, et al.. (2017). A Novel Fully Synthesizable All-Digital RF Transmitter for IoT Applications. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(1). 146–158. 6 indexed citations
20.
Zhao, Yan, Yuan Du, Yilei Li, et al.. (2016). A 0.56 THz Phase-Locked Frequency Synthesizer in 65 nm CMOS Technology. IEEE Journal of Solid-State Circuits. 51(12). 3005–3019. 46 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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