Junshuai Song
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Topics
- Spam and Phishing Detection (4 papers)Recommender Systems and Techniques (4 papers)Complex Network Analysis Techniques (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junshuai Song
11 papers receiving 304 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 206
- Information Systems 200
- Computer Vision and Pattern Recognition 63
- Management Science and Operations Research 43
- Computer Networks and Communications 37
Countries citing papers authored by Junshuai Song
This map shows the geographic impact of Junshuai 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 Junshuai Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junshuai Song more than expected).
Fields of papers citing papers by Junshuai Song
This network shows the impact of papers produced by Junshuai 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 Junshuai Song. The network helps show where Junshuai Song may publish in the future.
Co-authorship network of co-authors of Junshuai Song
This figure shows the co-authorship network connecting the top 25 collaborators of Junshuai Song. A scholar is included among the top collaborators of Junshuai 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 Junshuai Song. Junshuai 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 | 10 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 54 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 21 | |
| 10 | 172 | |
| 11 | 10 |
About Junshuai Song
Junshuai Song is a scholar working on Computer Science Applications, Information Systems and Statistical and Nonlinear Physics, having authored 11 papers that have together received 318 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Recommender Systems and Techniques (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Information Systems (200 citations), Artificial Intelligence (206 citations) and Management Science and Operations Research (43 citations). Junshuai Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chang Zhou, Jinze Bai, Xiaofei Liu, Jun Gao, Jun Gao, Zhao Li, Zehong Hu, Yucheng Wu, Jianping Li and Zhenpeng Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Medicine.
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.