Yukun Ding
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Neural Network Applications 3
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image Processing Techniques 2
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- Adversarial Robustness in Machine Learning 2
- Anomaly Detection Techniques and Applications 2
- Neural Networks and Applications 2
- Co-authors
- Yiyu Shi (12 shared papers)Xiaowei Xu (5 shared papers)Xiaobo Sharon Hu (2 shared papers)Yu Hen Hu (1 shared paper)Michael Niemier (1 shared paper)Jason Cong (1 shared paper)Jinjun Xiong (6 shared papers)Jinglan Liu (3 shared papers)
- Journals
- Nature Electronics (2 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)International Journal of Advanced Robotic Systems (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yukun Ding
14 papers receiving 405 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 143
- Electrical and Electronic Engineering 235
- Computer Vision and Pattern Recognition 83
- Health Informatics 4
- Hardware and Architecture 19
Countries citing papers authored by Yukun Ding
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
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-authors
The 23 scholars most cited alongside Yukun Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 318 | |
| 2 | 2020 | 30 | |
| 3 | 2020 | 15 | |
| 4 | Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation | 2020 | 13 |
| 5 | 2018 | 10 | |
| 6 | 2017 | 8 | |
| 7 | 2018 | 6 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 2 | |
| 10 | On the Universal Approximability of Quantized ReLU Neural Networks. | 2018 | 2 |
| 11 | 2024 | 2 | |
| 12 | Evaluation of Neural Network Uncertainty Estimation with Application to Resource-Constrained Platforms. | 2019 | 2 |
| 13 | PBGAN: Partial Binarization of Deconvolution Based Generators. | 2018 | 1 |
| 14 | 2021 | 1 |
About Yukun Ding
Yukun Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Memory and Neural Computing (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers), Neural Networks and Applications (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Artificial Intelligence (143 citations), Electrical and Electronic Engineering (235 citations), Computer Vision and Pattern Recognition (83 citations), Health Informatics (4 citations) and Hardware and Architecture (19 citations). Yukun Ding has collaborated with scholars based in United States, China and Germany. Frequent 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. Their work appears in journals such as Nature Electronics, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, International Journal of Advanced Robotic Systems and arXiv (Cornell University).
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.