Hao Yu

2.4k total citations
128 papers, 1.5k citations indexed

About

Hao Yu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hao Yu has authored 128 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Electrical and Electronic Engineering, 44 papers in Computer Vision and Pattern Recognition and 24 papers in Artificial Intelligence. Recurrent topics in Hao Yu's work include Advanced Neural Network Applications (32 papers), Advanced Memory and Neural Computing (25 papers) and Photonic and Optical Devices (15 papers). Hao Yu is often cited by papers focused on Advanced Neural Network Applications (32 papers), Advanced Memory and Neural Computing (25 papers) and Photonic and Optical Devices (15 papers). Hao Yu collaborates with scholars based in China, Singapore and United States. Hao Yu's co-authors include Yuan Liang, Hantao Huang, Zichuan Liu, Fengbo Ren, Yixing Li, Hao Chi Zhang, Yang Chai, Wei Mao, Hang Xu and Tie Jun Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Power Sources.

In The Last Decade

Hao Yu

116 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Yu China 21 787 307 289 258 132 128 1.5k
Zhaoming Lu China 23 1.1k 1.4× 101 0.3× 154 0.5× 170 0.7× 150 1.1× 197 2.0k
Mustafa Badaroglu Belgium 20 1.3k 1.7× 126 0.4× 199 0.7× 514 2.0× 158 1.2× 58 2.2k
Haifeng Sun China 25 796 1.0× 655 2.1× 398 1.4× 99 0.4× 169 1.3× 150 2.2k
Ling Liu China 24 1.2k 1.5× 199 0.6× 95 0.3× 168 0.7× 180 1.4× 113 2.1k
Kangwook Lee Japan 25 1.0k 1.3× 788 2.6× 137 0.5× 193 0.7× 124 0.9× 139 2.3k
Han Cai China 22 432 0.5× 1.0k 3.3× 832 2.9× 282 1.1× 129 1.0× 79 2.5k
Xuecheng Zou China 19 1.1k 1.4× 338 1.1× 221 0.8× 263 1.0× 287 2.2× 254 1.9k
Pengfei Hu China 19 1.3k 1.6× 351 1.1× 201 0.7× 190 0.7× 34 0.3× 113 2.2k
Ray-I Chang Taiwan 21 218 0.3× 230 0.7× 253 0.9× 54 0.2× 83 0.6× 160 1.5k
Sangjin Kim South Korea 19 833 1.1× 202 0.7× 380 1.3× 82 0.3× 30 0.2× 114 1.4k

Countries citing papers authored by Hao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yu. A scholar is included among the top collaborators of Hao Yu 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 Hao Yu. Hao Yu 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.
Chai, Zheng, Rui Peng, Xianwang Wang, et al.. (2025). A lossless and fully parallel spintronic compute-in-memory macro for artificial intelligence chips. Nature Electronics. 8(11). 1046–1058.
2.
Huang, Mingqiang, et al.. (2025). EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models. IEEE Transactions on Circuits and Systems I Regular Papers. 72(7). 3352–3365. 7 indexed citations
3.
Huang, Mingqiang, et al.. (2025). A 29.12-TOPS/W Vector Systolic Accelerator With NAS-Optimized DNNs in 28-nm CMOS. IEEE Journal of Solid-State Circuits. 60(10). 3790–3801. 1 indexed citations
4.
Yu, Hao, Yanshuang Meng, Dongming Qi, Qiang Xiang, & Fuliang Zhu. (2025). Synergistic microstructure tailoring in biomass-derived carbon anodes enabling high ICE and rate capability. Journal of Power Sources. 658. 238353–238353. 1 indexed citations
5.
6.
7.
Ni, Leibin, et al.. (2024). A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier. SHILAP Revista de lepidopterología. 5. 57–68. 1 indexed citations
8.
Li, Guangzhao, Hao Yu, Hongwei Zhang, et al.. (2024). Chemical bonding and hydrogen bonding facilitated higher interfacial interaction of PA6/BF/POSS composites. Journal of Applied Polymer Science. 141(37). 1 indexed citations
9.
Mao, Wei, et al.. (2023). A Reconfigurable Processing Element for Multiple-Precision Floating/Fixed-Point HPC. IEEE Transactions on Circuits & Systems II Express Briefs. 71(3). 1401–1405. 2 indexed citations
10.
Fang, Xiaohu, et al.. (2023). Novel Wideband Millimeter-Wave GaN Power Amplifier Design Using Transistors With Large Drain Capacitance and High Optimum Load Impedance. IEEE Transactions on Circuits & Systems II Express Briefs. 70(12). 4309–4313. 5 indexed citations
11.
12.
Mao, Wei, et al.. (2022). A Vector Systolic Accelerator for Multi-Precision Floating-Point High-Performance Computing. IEEE Transactions on Circuits & Systems II Express Briefs. 69(10). 4123–4127. 10 indexed citations
13.
Mao, Wei, et al.. (2022). An Energy-Efficient Mixed-Bitwidth Systolic Accelerator for NAS-Optimized Deep Neural Networks. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(12). 1878–1890. 12 indexed citations
14.
Huang, Mingqiang, et al.. (2022). A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers. 69(9). 3619–3631. 30 indexed citations
15.
Mao, Wei, et al.. (2021). A Configurable Floating-Point Multiple-Precision Processing Element for HPC and AI Converged Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(2). 213–226. 25 indexed citations
16.
Liang, Yuan, Chirn Chye Boon, & Hao Yu. (2018). A Crosstalk-immune Sub-THz All-surface-wave I/O Transceiver in 65-nm CMOS. DR-NTU (Nanyang Technological University). 352–355. 15 indexed citations
17.
Liang, Yuan, Hao Yu, Chirn Chye Boon, et al.. (2018). D-Band Surface-Wave Modulator and Signal Source with 40 dB Extinction Ratio and 3.7mW Output Power in 65 nm CMOS. DR-NTU (Nanyang Technological University). 142–145. 7 indexed citations
18.
Luo, Jiang, Jin He, Guangyin Feng, et al.. (2018). A D-Band Amplifier in 65 nm Bulk CMOS for Short-Distance Data Center Communication. IEEE Access. 6. 53191–53200. 8 indexed citations
19.
Li, Yixing, Zichuan Liu, Kai Xu, Hao Yu, & Fengbo Ren. (2017). A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks. arXiv (Cornell University). 13 indexed citations
20.
Zhang, Chun, et al.. (2012). Fair energy resource allocation by minority game algorithm for smart buildings. Design, Automation, and Test in Europe. 63–68. 19 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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