Zhexuan Song
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Ryusuke MasuokaÁlvaro A. CárdenasJing XieKe GongXinxing ZhangYannis LabrouYuan NiuMarkus Jakobsson
- Topics
- Service-Oriented Architecture and Web Services (5 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)Electrohydrodynamics and Fluid Dynamics (3 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Chemical Theory and ComputationMaterials
- Partner nations
- United StatesChinaRussia
In The Last Decade
Zhexuan Song
17 papers receiving 365 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 154
- Information Systems 142
- Computer Vision and Pattern Recognition 74
- Artificial Intelligence 64
- Electrical and Electronic Engineering 46
Countries citing papers authored by Zhexuan Song
This map shows the geographic impact of Zhexuan Song'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 Zhexuan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhexuan Song more than expected).
Fields of papers citing papers by Zhexuan Song
This network shows the impact of papers produced by Zhexuan Song. 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 Zhexuan Song. The network helps show where Zhexuan Song may publish in the future.
Co-authorship network of co-authors of Zhexuan Song
This figure shows the co-authorship network connecting the top 25 collaborators of Zhexuan Song. A scholar is included among the top collaborators of Zhexuan Song 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 Zhexuan Song. Zhexuan Song 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 | 38 | |
| 3 | 42 | |
| 4 | 57 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 71 | |
| 8 | 101 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | Position Paper for W3C Workshop on Rule Languages for Interoperability. | 1 |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | A New Method to Store and Retrieve Images | 1 |
About Zhexuan Song
Zhexuan Song is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 389 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers) and Electrohydrodynamics and Fluid Dynamics (3 papers). The work is most often cited by research in Computer Networks and Communications (154 citations), Information Systems (142 citations) and Electrochemistry (32 citations). Zhexuan Song has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Ryusuke Masuoka, Álvaro A. Cárdenas, Jing Xie, Ke Gong, Xinxing Zhang, Yannis Labrou, Yuan Niu, Markus Jakobsson, Elaine Shi and Jesús Molina. Their work appears in journals such as Journal of the American Chemical Society, Journal of Chemical Theory and Computation and Materials.
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.