Yue Ning
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Stochastic Gradient Optimization Techniques
- Topic Modeling
- Machine Learning in Healthcare
- Cryptography and Data Security
Papers in
-
- Advanced Graph Neural Networks 10
- Topic Modeling 9
- Machine Learning in Healthcare 5
-
- Identification and Quantification in Food 11
- Muscle Physiology and Disorders 5
- Co-authors
- Huzefa Rangwala (13 shared papers)Yujing Chen (2 shared papers)Martin Slawski (1 shared paper)Chandan K. Reddy (3 shared papers)Chang Lü (3 shared papers)Hui Wang (6 shared papers)Linsen Zan (8 shared papers)Xiande Liu (2 shared papers)
- Journals
- Genetics and Molecular Research (19 papers)Genomics (2 papers)Gene (2 papers)International Journal of Molecular Sciences (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yue Ning
84 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Health Informatics 47
- Artificial Intelligence 649
- Health Information Management 61
- Computer Science Applications 70
- Aquatic Science 73
Countries citing papers authored by Yue Ning
This map shows the geographic impact of Yue Ning'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 Yue Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Ning more than expected).
Fields of papers citing papers by Yue Ning
This network shows the impact of papers produced by Yue Ning. 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 Yue Ning. The network helps show where Yue Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Yue Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Hit paper breakdown → | 2020 | 272 |
| 2 | 2022 | 92 | |
| 3 | 2020 | 65 | |
| 4 | 2020 | 64 | |
| 5 | 2019 | 56 | |
| 6 | 2007 | 52 | |
| 7 | 2007 | 48 | |
| 8 | 2021 | 41 | |
| 9 | Asynchronous Online Federated Learning for Edge Devices. | 2019 | 34 |
| 10 | 2021 | 29 | |
| 11 | 2018 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2020 | 24 | |
| 14 | 2016 | 22 | |
| 15 | 2017 | 20 | |
| 16 | 2017 | 19 | |
| 17 | 2016 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2023 | 16 |
About Yue Ning
Yue Ning is a scholar working on Artificial Intelligence, Molecular Biology, Genetics, Aquatic Science and Statistical and Nonlinear Physics, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (15 papers), Identification and Quantification in Food (11 papers), Advanced Graph Neural Networks (10 papers), Topic Modeling (9 papers), Data-Driven Disease Surveillance (8 papers), Complex Network Analysis Techniques (8 papers), Machine Learning in Healthcare (5 papers) and Muscle Physiology and Disorders (5 papers). The work is most often cited by research in Health Informatics (47 citations), Artificial Intelligence (649 citations), Health Information Management (61 citations), Computer Science Applications (70 citations) and Aquatic Science (73 citations). Yue Ning has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huzefa Rangwala, Yujing Chen, Martin Slawski, Chandan K. Reddy, Chang Lü, Hui Wang, Linsen Zan, Xiande Liu, Naren Ramakrishnan and Yiyun Li. Their work appears in journals such as Genetics and Molecular Research, Genomics, Gene, International Journal of Molecular Sciences and Biochemical and Biophysical Research Communications.
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.