Yuxiang Huan

874 total citations
44 papers, 588 citations indexed

About

Yuxiang Huan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Yuxiang Huan has authored 44 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 10 papers in Hardware and Architecture. Recurrent topics in Yuxiang Huan's work include Advanced Memory and Neural Computing (21 papers), Parallel Computing and Optimization Techniques (10 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Yuxiang Huan is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), Parallel Computing and Optimization Techniques (10 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Yuxiang Huan collaborates with scholars based in China, Sweden and United States. Yuxiang Huan's co-authors include Zhuo Zou, Li‐Rong Zheng, Jiawei Xu, Lizheng Liu, Yi Jin, Shih‐Ching Yeh, Li Da Xu, Yulong Yan, Tomi Westerlund and Jukka Heikkonen and has published in prestigious journals such as Nature Communications, IEEE Access and IEEE Transactions on Industrial Informatics.

In The Last Decade

Yuxiang Huan

42 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuxiang Huan China 12 221 131 108 99 76 44 588
Viet-Khoa Vo-Ho Vietnam 11 185 0.8× 209 1.6× 56 0.5× 148 1.5× 46 0.6× 29 528
Shahenda Sarhan Egypt 14 147 0.7× 108 0.8× 108 1.0× 64 0.6× 14 0.2× 35 500
Dotan Di Castro Israel 10 191 0.9× 138 1.1× 35 0.3× 27 0.3× 22 0.3× 27 404
Syed Hasan Adil Pakistan 11 65 0.3× 71 0.5× 65 0.6× 74 0.7× 26 0.3× 53 441
Dongming Xu United States 12 187 0.8× 316 2.4× 58 0.5× 18 0.2× 39 0.5× 30 619
Chang Soo Kim South Korea 9 223 1.0× 54 0.4× 106 1.0× 26 0.3× 28 0.4× 33 526
Emilio Del-Moral-Hernandez Brazil 11 105 0.5× 182 1.4× 37 0.3× 61 0.6× 18 0.2× 62 375
Sizhao Li China 10 335 1.5× 124 0.9× 48 0.4× 22 0.2× 20 0.3× 47 610
Hyunggon Park South Korea 12 243 1.1× 75 0.6× 386 3.6× 60 0.6× 44 0.6× 69 599
Budhitama Subagdja Singapore 12 70 0.3× 312 2.4× 67 0.6× 108 1.1× 17 0.2× 41 552

Countries citing papers authored by Yuxiang Huan

Since Specialization
Citations

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

Fields of papers citing papers by Yuxiang Huan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuxiang Huan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuxiang Huan. A scholar is included among the top collaborators of Yuxiang Huan 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 Yuxiang Huan. Yuxiang Huan 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.
Huan, Yuxiang, et al.. (2025). Integrating physical units into high-performance AI-driven scientific computing. Nature Communications. 16(1). 3609–3609. 1 indexed citations
2.
Huang, Yong, et al.. (2024). Data-driven natural computational psychophysiology in class. Cognitive Neurodynamics. 18(6). 3477–3489. 3 indexed citations
3.
Huan, Yuxiang, et al.. (2024). Communication-Aware and Resource-Efficient NoC-Based Architecture for CNN Acceleration. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 14(3). 440–454.
4.
Xu, Jiawei, et al.. (2023). ASLog: An Area-Efficient CNN Accelerator for Per-Channel Logarithmic Post-Training Quantization. IEEE Transactions on Circuits and Systems I Regular Papers. 70(12). 5380–5393. 2 indexed citations
5.
Jin, Yi, Bin Huang, Yulong Yan, et al.. (2022). Edge-Based Collaborative Training System for Artificial Intelligence-of-Things. IEEE Transactions on Industrial Informatics. 18(10). 7162–7173. 18 indexed citations
6.
Jia, Hao, Yuxiang Huan, Yulong Yan, et al.. (2022). A Domain-Specific Accelerator for Ultralow Latency Market Data Distribution System. IEEE Transactions on Industrial Informatics. 19(4). 5465–5475. 2 indexed citations
7.
Yan, Yulong, et al.. (2022). Backpropagation With Sparsity Regularization for Spiking Neural Network Learning. Frontiers in Neuroscience. 16. 760298–760298. 17 indexed citations
8.
Jia, Hao, Yulong Yan, Yi Jin, et al.. (2021). A Neuromorphic Processing System for Low-Power Wearable ECG Classification. 1–5. 10 indexed citations
9.
Huan, Yuxiang, et al.. (2021). IECA: An In-Execution Configuration CNN Accelerator With 30.55 GOPS/mm² Area Efficiency. IEEE Transactions on Circuits and Systems I Regular Papers. 68(11). 4672–4685. 14 indexed citations
10.
Jin, Yi, Jiawei Xu, Yuxiang Huan, et al.. (2021). Self-aware distributed deep learning framework for heterogeneous IoT edge devices. Future Generation Computer Systems. 125. 908–920. 20 indexed citations
11.
Xu, Jiawei, et al.. (2020). A Memory-Efficient CNN Accelerator Using Segmented Logarithmic Quantization and Multi-Cluster Architecture. IEEE Transactions on Circuits & Systems II Express Briefs. 68(6). 2142–2146. 11 indexed citations
12.
Xu, Jiawei, et al.. (2020). Base-Reconfigurable Segmented Logarithmic Quantization and Hardware Design for Deep Neural Networks. Journal of Signal Processing Systems. 92(11). 1263–1276. 10 indexed citations
13.
Huan, Yuxiang, et al.. (2020). Dynamic Precision Multiplier For Deep Neural Network Accelerators. 180–184. 1 indexed citations
14.
Liu, Lizheng, Jiawei Xu, Yuxiang Huan, et al.. (2019). A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning, and Mobile Terminal. IEEE Journal of Biomedical and Health Informatics. 24(3). 898–906. 114 indexed citations
15.
Xu, Jiawei, Yuxiang Huan, Kunlong Yang, et al.. (2018). Optimized Near-Zero Quantization Method for Flexible Memristor Based Neural Network. IEEE Access. 6. 29320–29331. 9 indexed citations
16.
Yang, Kunlong, Yuxiang Huan, Jiawei Xu, et al.. (2018). Universal and Convenient Optimization Strategies for Three-Terminal Memristors. IEEE Access. 6. 48815–48826. 3 indexed citations
17.
Liu, Lizheng, Yi Jin, Yi Liu, et al.. (2018). A Design of Autonomous Error-Tolerant Architectures for Massively Parallel Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(10). 2143–2154. 1 indexed citations
18.
Huan, Yuxiang, et al.. (2018). Automated trading systems statistical and machine learning methods and hardware implementation: a survey. Enterprise Information Systems. 13(1). 132–144. 90 indexed citations
19.
Huan, Yuxiang, Amir M. Rahmani, Zhuo Zou, et al.. (2017). Smart energy efficient gateway for Internet of mobile things. 1016–1017. 7 indexed citations
20.
Huan, Yuxiang, Ning Ma, Jia Mao, et al.. (2016). A 101.4 GOPS/W Reconfigurable and Scalable Control-Centric Embedded Processor for Domain-Specific Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 63(12). 2245–2256. 3 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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