Yukun Ding

658 total citations
14 papers, 394 citations indexed

About

Yukun Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yukun Ding has authored 14 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Yukun Ding's work include Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Memory and Neural Computing (2 papers). Yukun Ding is often cited by papers focused on Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Advanced Memory and Neural Computing (2 papers). Yukun Ding collaborates with scholars based in United States, China and Germany. Yukun Ding's co-authors include Yiyu Shi, Xiaowei Xu, Xiaobo Sharon Hu, Yu Hen Hu, Michael Niemier, Jason Cong, Jinjun Xiong, Jinglan Liu, Jinglan Liu and Ji Liang and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Nature Electronics and International Journal of Advanced Robotic Systems.

In The Last Decade

Yukun Ding

14 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yukun Ding United States	7	227	140	84	47	31	14	394
Jiawei Xu China	11	174 0.8×	83 0.6×	74 0.9×	62 1.3×	50 1.6×	38	405
Yen-Kai Chen Taiwan	7	474 2.1×	92 0.7×	71 0.8×	76 1.6×	21 0.7×	11	547
Anton Mitrokhin United States	7	330 1.5×	125 0.9×	162 1.9×	29 0.6×	31 1.0×	8	473
Soyeon Kim South Korea	13	208 0.9×	98 0.7×	110 1.3×	18 0.4×	16 0.5×	49	383
Sohaib Majzoub United Arab Emirates	10	164 0.7×	65 0.5×	71 0.8×	12 0.3×	59 1.9×	54	372
Motonobu Hattori Japan	13	104 0.5×	251 1.8×	56 0.7×	24 0.5×	58 1.9×	52	419
Vinay Joshi Switzerland	7	406 1.8×	140 1.0×	37 0.4×	73 1.6×	25 0.8×	10	456
Shubham Jain United States	15	528 2.3×	134 1.0×	95 1.1×	40 0.9×	51 1.6×	33	721
Hongwu Jiang United States	14	734 3.2×	179 1.3×	75 0.9×	134 2.9×	39 1.3×	26	819
Wantong Li United States	11	305 1.3×	75 0.5×	26 0.3×	43 0.9×	18 0.6×	33	357

Countries citing papers authored by Yukun Ding

Since Specialization

Citations

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

Fields of papers citing papers by Yukun Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukun Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Yukun Ding. A scholar is included among the top collaborators of Yukun 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 Yukun Ding. Yukun Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Gong, Siyuan, et al.. (2024). A Deep Reinforcement Learning Based Cooperative Adaptive Cruise Control for Connected and Autonomous Vehicle by Considering Preceding Vehicle Properties. 1445–1450. 1 indexed citations

Zeng, Dewen, Yukun Ding, Haiyun Yuan, et al.. (2021). Invited:Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography. 1339–1342. 1 indexed citations

Ding, Yukun, Weiwen Jiang, Jinglan Liu, et al.. (2020). Hardware design and the competency awareness of a neural network. Nature Electronics. 3(9). 514–523. 14 indexed citations

Ding, Yukun, et al.. (2020). Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 4748–4759. 2 indexed citations

Ding, Yukun, Jinglan Liu, Xiaowei Xu, et al.. (2020). Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation. 156–173. 13 indexed citations

Ding, Yukun, Jinglan Liu, Jinjun Xiong, & Yiyu Shi. (2020). Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off. 22–31. 28 indexed citations

Liu, Jinglan, Yukun Ding, Jinjun Xiong, et al.. (2020). Multi-Cycle-Consistent Adversarial Networks for CT Image Denoising. 614–618. 3 indexed citations

Ding, Yukun, Jinglan Liu, Jinjun Xiong, & Yiyu Shi. (2019). Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms.. 2 indexed citations

Liu, Jinglan, Jiaxin Zhang, Yukun Ding, et al.. (2018). PBGAN: Partial Binarization of Deconvolution Based Generators.. arXiv (Cornell University). 1 indexed citations

10.

Ding, Yukun, Jinglan Liu, & Yiyu Shi. (2018). On the Universal Approximability of Quantized ReLU Neural Networks.. arXiv (Cornell University). 2 indexed citations

11.

Xu, Xiaowei, Yukun Ding, Xiaobo Sharon Hu, et al.. (2018). Scaling for edge inference of deep neural networks. Nature Electronics. 1(4). 216–222. 303 indexed citations

12.

Ding, Yukun, Jinglan Liu, Jinjun Xiong, Meng Jiang, & Yiyu Shi. (2018). Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability. 2147–2154. 6 indexed citations

13.

Ding, Yukun, et al.. (2018). Model-mediated teleoperation with improved stability. International Journal of Advanced Robotic Systems. 15(2). 10 indexed citations

14.

Liu, Jinglan, Yukun Ding, Jianlei Yang, Ulf Schlichtmann, & Yiyu Shi. (2017). Generative adversarial network based scalable on-chip noise sensor placement. 529. 239–242. 8 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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