Yan-Ling Wang
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Signal Processing top 5%
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Co-authors
- Mao-Sheng LiJames CheneyMichael HicksDan GrossmanTrevor JimZhu‐Jun ZhengShao-Ming FeiMan‐Hong Yung
- Topics
- Quantum Information and Cryptography (18 papers)Quantum Computing Algorithms and Architecture (16 papers)Quantum Mechanics and Applications (11 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yan-Ling Wang
28 papers receiving 720 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 694
- Atomic and Molecular Physics, and Optics 295
- Signal Processing 191
- Computer Networks and Communications 172
- Hardware and Architecture 155
Countries citing papers authored by Yan-Ling Wang
This map shows the geographic impact of Yan-Ling Wang'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 Yan-Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan-Ling Wang more than expected).
Fields of papers citing papers by Yan-Ling Wang
This network shows the impact of papers produced by Yan-Ling Wang. 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 Yan-Ling Wang. The network helps show where Yan-Ling Wang may publish in the future.
Co-authorship network of co-authors of Yan-Ling Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Ling Wang. A scholar is included among the top collaborators of Yan-Ling Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan-Ling Wang. Yan-Ling Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | 7 | |
| 9 | 30 | |
| 10 | 7 | |
| 11 | 60 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | Study on Allowable Lateral Deviation of the Center of Gravity of Goods Based on Safety Criteria Regarding Derailment Coefficient | 2 |
| 18 | The Design of Portable Cropland Information Collection Equipment Base on GPRS and GPS Technology | 1 |
| 19 | Cyclone: A Safe Dialect of Cbreakdown → | 426 |
| 20 | Proceedings of the General Track of the Annual Conference on USENIX Annual Technical Conference | 4 |
About Yan-Ling Wang
Yan-Ling Wang is a scholar working on General Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 798 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum Mechanics and Applications (11 papers). The work is most often cited by research in Hardware and Architecture (155 citations), Artificial Intelligence (694 citations) and Signal Processing (191 citations). Yan-Ling Wang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Mao-Sheng Li, James Cheney, Michael Hicks, Dan Grossman, Trevor Jim, Zhu‐Jun Zheng, Shao-Ming Fei, Man‐Hong Yung, Wei Chen and Zhen Wang. Their work appears in journals such as Physical Review A, IEEE Access and IEEE Transactions on Computers.
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.