Yu Ling
Impact in
-
- Network Security and Intrusion Detection
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Laser and Thermal Forming Techniques 3
-
- Metal Forming Simulation Techniques 3
- Co-authors
- B. T. Cheok (2 shared papers)H.P. Lee (1 shared paper)Xingbing Fu (1 shared paper)Gang Xiong (1 shared paper)Rui Zhang (1 shared paper)Jianwu Zhang (1 shared paper)Jaakko Vihriälä (1 shared paper)Kari Horneman (1 shared paper)
In The Last Decade
Yu Ling
13 papers receiving 269 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 123
- Signal Processing 54
- Human-Computer Interaction 21
- Artificial Intelligence 85
- Mechanics of Materials 48
Countries citing papers authored by Yu Ling
This map shows the geographic impact of Yu 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 Yu Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Ling more than expected).
Fields of papers citing papers by Yu Ling
This network shows the impact of papers produced by Yu 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 Yu Ling. The network helps show where Yu Ling may publish in the future.
Co-authors
The 24 scholars most cited alongside Yu 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 | 2019 | 96 | |
| 2 | 2005 | 62 | |
| 3 | 2022 | 35 | |
| 4 | 2021 | 31 | |
| 5 | 2010 | 30 | |
| 6 | 2022 | 9 | |
| 7 | 2002 | 6 | |
| 8 | 2016 | 6 | |
| 9 | 2017 | 5 | |
| 10 | 2022 | 1 | |
| 11 | Reliability analysis for three levels of fortification of aseismic structures | 2002 | 1 |
| 12 | 2025 | 1 | |
| 13 | 2013 | 1 | |
| 14 | Application of numerical simulation in automobile covering parts forming process | 2006 | 0 |
| 15 | 2025 | 0 |
About Yu Ling
Yu Ling is a scholar working on Computational Mechanics, Mechanical Engineering, Computer Networks and Communications, Mechanics of Materials and Artificial Intelligence, having authored 15 papers that have together received 284 indexed citations. Recurring topics across this work include Metallurgy and Material Forming (3 papers), Laser and Thermal Forming Techniques (3 papers), Metal Forming Simulation Techniques (3 papers), Non-Invasive Vital Sign Monitoring (2 papers), EEG and Brain-Computer Interfaces (2 papers), Wireless Communication Networks Research (1 paper), Advanced MIMO Systems Optimization (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (123 citations), Signal Processing (54 citations), Human-Computer Interaction (21 citations), Artificial Intelligence (85 citations) and Mechanics of Materials (48 citations). Yu Ling has collaborated with scholars based in China, Singapore and Finland. Frequent co-authors include B. T. Cheok, H.P. Lee, Xingbing Fu, Gang Xiong, Rui Zhang, Jianwu Zhang, Jaakko Vihriälä, Kari Horneman, Xiang Chen and Xun Chen. Their work appears in journals such as International Journal of Intelligent Systems, International Journal of Machine Learning and Cybernetics, Journal of Materials Processing Technology, Neural Computing and Applications and IEEE Sensors Journal.
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.