Huiying Lan
Impact in
- Computational Mathematics top 5%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Neural Network Applications 5
- Face and Expression Recognition 1
- Multimodal Machine Learning Applications 1
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- Advanced Memory and Neural Computing 5
- Ferroelectric and Negative Capacitance Devices 2
- Electricity Theft Detection Techniques 1
- CCD and CMOS Imaging Sensors 1
- Co-authors
- Zidong Du (4 shared papers)Yunji Chen (5 shared papers)Shaoli Liu (3 shared papers)Tianshi Chen (3 shared papers)Shijin Zhang (2 shared papers)Lei Zhang (2 shared papers)Ling Li (1 shared paper)Qi Guo (1 shared paper)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)ACM Transactions on Computer Systems (1 paper)Journal of Computer Science and Technology (2 papers)Wuhan University Journal of Natural Sciences (1 paper)
- Partner nations
- ChinaSwitzerlandSingapore
In The Last Decade
Huiying Lan
7 papers receiving 466 citations
Huiying Lan's Hit Papers
Peers
Comparison fields: 5 of 48
- Computational Mathematics 22
- Hardware and Architecture 116
- Computer Vision and Pattern Recognition 332
- Artificial Intelligence 202
- Electrical and Electronic Engineering 258
Countries citing papers authored by Huiying Lan
This map shows the geographic impact of Huiying Lan'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 Huiying Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiying Lan more than expected).
Fields of papers citing papers by Huiying Lan
This network shows the impact of papers produced by Huiying Lan. 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 Huiying Lan. The network helps show where Huiying Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Huiying Lan, 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 | Cambricon-X: An accelerator for sparse neural networks Hit paper breakdown → | 2016 | 432 |
| 2 | 2018 | 15 | |
| 3 | 2018 | 11 | |
| 4 | 2018 | 10 | |
| 5 | 2012 | 3 | |
| 6 | 2017 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2025 | 0 |
About Huiying Lan
Huiying Lan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence and Materials Chemistry, having authored 8 papers that have together received 476 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Memory and Neural Computing (5 papers), Parallel Computing and Optimization Techniques (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Electricity Theft Detection Techniques (1 paper), Face and Expression Recognition (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computational Mathematics (22 citations), Hardware and Architecture (116 citations), Computer Vision and Pattern Recognition (332 citations), Artificial Intelligence (202 citations) and Electrical and Electronic Engineering (258 citations). Huiying Lan has collaborated with scholars based in China, Switzerland and Singapore. Frequent co-authors include Zidong Du, Yunji Chen, Shaoli Liu, Tianshi Chen, Shijin Zhang, Lei Zhang, Ling Li, Qi Guo, Qi Guo and Jinhua Tao. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Computer Systems, Journal of Computer Science and Technology and Wuhan University Journal of Natural Sciences.
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.