Ning Lin
Impact in
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Hardware and Architecture top 10%
Papers in
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- Advanced Neural Network Applications 9
- Co-authors
- James S. DuncanWeichuan YuXiaowei LiHang LüZhongrui WangBaolin WuKenneth R. WilliamsHongyu Zhao
- Journals
- Advanced Materials (4 papers)Optics Express (2 papers)Optics Letters (2 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2 papers)Science Advances (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ning Lin
65 papers receiving 627 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 153
- Hardware and Architecture 35
- Electrical and Electronic Engineering 217
- Artificial Intelligence 114
- Computational Mathematics 2
Countries citing papers authored by Ning Lin
This map shows the geographic impact of Ning Lin'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 Ning Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Lin more than expected).
Fields of papers citing papers by Ning Lin
This network shows the impact of papers produced by Ning Lin. 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 Ning Lin. The network helps show where Ning Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Lin, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 23 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 16 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 54 | |
| 19 | 2018 | 3 | |
| 20 | Successive Linear Programming Based Optimal Scheduling of Cascade Hydropower Station | 2009 | 3 |
About Ning Lin
Ning Lin is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Software and Artificial Intelligence, having authored 73 papers that have together received 649 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Advanced Neural Network Applications (9 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Optical Network Technologies (5 papers), Adversarial Robustness in Machine Learning (4 papers), Neural Networks and Reservoir Computing (4 papers), HVDC Systems and Fault Protection (4 papers) and High-Voltage Power Transmission Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Hardware and Architecture (35 citations), Electrical and Electronic Engineering (217 citations), Artificial Intelligence (114 citations) and Computational Mathematics (2 citations). Ning Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include James S. Duncan, Weichuan Yu, Xiaowei Li, Hang Lü, Zhongrui Wang, Baolin Wu, Kenneth R. Williams, Hongyu Zhao, Ronald L. Davis and Li Tian. Their work appears in journals such as Advanced Materials, Optics Express, Optics Letters, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Science Advances.
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.