Yun Ling
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- Energy Efficient Wireless Sensor Networks 5
- Artificial Intelligence top 5%
- Cryptography and Data Security 7
- Privacy-Preserving Technologies in Data 5
- Information Systems top 5%
- Cloud Data Security Solutions 5
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- Balance, Gait, and Falls Prevention 6
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- Parkinson's Disease Mechanisms and Treatments 12
- Neurological disorders and treatments 6
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- Muscle activation and electromyography studies 5
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yun Ling
87 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Computer Networks and Communications 469
- Artificial Intelligence 305
- Information Systems 189
- Physical Therapy, Sports Therapy and Rehabilitation 33
- Computer Vision and Pattern Recognition 142
Countries citing papers authored by Yun Ling
This map shows the geographic impact of Yun Ling'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 Yun Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Ling more than expected).
Fields of papers citing papers by Yun Ling
This network shows the impact of papers produced by Yun Ling. 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 Yun Ling. The network helps show where Yun Ling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun Ling, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 37 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2017 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2013 | 2 | |
| 19 | Real-Time Fault-Tolerant Scheduling Algorithm for Distributed Computing Systems | 2012 | 1 |
| 20 | 2007 | 1 |
About Yun Ling
Yun Ling is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (12 papers), Cryptography and Data Security (7 papers), Neurological disorders and treatments (6 papers), Balance, Gait, and Falls Prevention (6 papers), Cloud Data Security Solutions (5 papers), Muscle activation and electromyography studies (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (469 citations), Artificial Intelligence (305 citations) and Information Systems (189 citations). Yun Ling has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guiyi Wei, Athanasios V. Vasilakos, Bin Xiao, Song Han, Miao Xie, Hsiao‐Hwa Chen, Jun Shao, Jun Yang, Wei Sun and Hesheng Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.