Yufei Ding

3.8k total citations · 1 hit paper
106 papers, 2.0k citations indexed

About

Yufei Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Yufei Ding has authored 106 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 33 papers in Computer Vision and Pattern Recognition and 24 papers in Hardware and Architecture. Recurrent topics in Yufei Ding's work include Parallel Computing and Optimization Techniques (24 papers), Advanced Neural Network Applications (21 papers) and Quantum Information and Cryptography (17 papers). Yufei Ding is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Advanced Neural Network Applications (21 papers) and Quantum Information and Cryptography (17 papers). Yufei Ding collaborates with scholars based in United States, China and Hong Kong. Yufei Ding's co-authors include Yuan Xie, Gushu Li, Ling Liang, Lei Deng, Xing Hu, Guoqi Li, Xipeng Shen, Fengbin Tu, Yuke Wang and Liu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Journal of Solid-State Circuits.

In The Last Decade

Yufei Ding

101 papers receiving 2.0k citations

Hit Papers

Tackling the Qubit Mappin... 2019 2026 2021 2023 2019 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yufei Ding 1.1k 832 450 361 268 106 2.0k
Majid Ahmadi 628 0.6× 1.3k 1.5× 154 0.3× 293 0.8× 260 1.0× 282 2.2k
Cong Xu 724 0.6× 2.2k 2.6× 457 1.0× 658 1.8× 558 2.1× 47 3.0k
Deliang Fan 1.2k 1.0× 2.3k 2.8× 498 1.1× 538 1.5× 342 1.3× 179 3.2k
Zhezhi He 857 0.8× 1.3k 1.5× 302 0.7× 531 1.5× 235 0.9× 94 2.1k
Marian Verhelst 643 0.6× 2.4k 2.9× 421 0.9× 775 2.1× 492 1.8× 225 3.6k
Xuecheng Zou 338 0.3× 1.1k 1.3× 268 0.6× 221 0.6× 175 0.7× 254 1.9k
Weng‐Fai Wong 476 0.4× 984 1.2× 1.3k 2.9× 192 0.5× 1.3k 4.7× 182 2.8k
Xing Hu 618 0.5× 851 1.0× 273 0.6× 327 0.9× 205 0.8× 64 1.4k
Anirban Nag 464 0.4× 1.4k 1.7× 261 0.6× 414 1.1× 161 0.6× 6 1.7k
Mahmoud Al‐Qutayri 442 0.4× 1.4k 1.7× 271 0.6× 196 0.5× 668 2.5× 215 2.5k

Countries citing papers authored by Yufei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yufei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufei Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yufei Ding. A scholar is included among the top collaborators of Yufei Ding 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 Yufei Ding. Yufei Ding 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.
Stein, Samuel, Andrew W. Cross, Theodore J. Yoder, et al.. (2025). HetEC: Architectures for Heterogeneous Quantum Error Correction Codes. 515–528. 1 indexed citations
5.
Shapourian, Hassan, et al.. (2024). OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing. 738–754. 1 indexed citations
6.
Ding, Yufei, et al.. (2024). ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. 450–464. 3 indexed citations
7.
Shapourian, Hassan, et al.. (2024). MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets. 699–714. 6 indexed citations
8.
Wang, Yang, Bo Dong, Ke Xu, et al.. (2023). A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks. ACM Transactions on Multimedia Computing Communications and Applications. 19(5s). 1–17. 1 indexed citations
9.
Tu, Fengbin, Zihan Wu, Yiqi Wang, et al.. (2022). TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE Journal of Solid-State Circuits. 58(6). 1798–1809. 33 indexed citations
10.
Tu, Fengbin, Yiqi Wang, Ling Liang, et al.. (2022). SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(1). 109–121. 16 indexed citations
11.
Tu, Fengbin, Yiqi Wang, Zihan Wu, et al.. (2022). ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE Journal of Solid-State Circuits. 58(1). 243–255. 34 indexed citations
12.
Chen, Xiaobing, Xinfeng Xie, Xing Hu, et al.. (2021). Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(4). 936–949. 34 indexed citations
13.
Deng, Lei, Yujie Wu, Yifan Hu, et al.. (2021). Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 2791–2805. 58 indexed citations
14.
Liang, Ling, Xing Hu, Lei Deng, et al.. (2021). Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Transactions on Neural Networks and Learning Systems. 34(5). 2569–2583. 37 indexed citations
15.
Wang, Yuke, et al.. (2021). Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 427–441. 2 indexed citations
16.
Deng, Lei, Guanrui Wang, Guoqi Li, et al.. (2020). Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE Journal of Solid-State Circuits. 55(8). 2228–2246. 124 indexed citations
17.
Chen, Zhaodong, Lei Deng, Guoqi Li, et al.. (2020). Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Transactions on Neural Networks and Learning Systems. 32(1). 348–362. 18 indexed citations
18.
Liu, Liu, Lei Deng, Zhaodong Chen, et al.. (2020). Boosting Deep Neural Network Efficiency with Dual-Module Inference. International Conference on Machine Learning. 1. 6205–6215. 4 indexed citations
19.
Ding, Yufei, et al.. (2016). UDMA/SR833s歯科樹脂システムに基づくBis‐GMA自由歯科材料【Powered by NICT】. Advances in Polymer Technology. 35(4). 401. 1 indexed citations
20.
Ding, Yufei, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, & Todd Mytkowicz. (2015). Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup. NCSU Libraries Repository (North Carolina State University Libraries). 579–587. 59 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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