Biao Song
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Mohammad Mehedi HassanEui‐Nam HuhM. Shamim HossainGhulam MuhammadAtif AlamriWadood AbdulBrij B. GuptaAbdu Gumaei
- Topics
- Cloud Computing and Resource Management (17 papers)IoT and Edge/Fog Computing (15 papers)Caching and Content Delivery (6 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- Saudi ArabiaSouth KoreaChina
In The Last Decade
Biao Song
35 papers receiving 803 citations
Peers
Comparison fields: 5 of 79
- Computer Networks and Communications 485
- Information Systems 394
- Computer Vision and Pattern Recognition 176
- Artificial Intelligence 163
- Electrical and Electronic Engineering 73
Countries citing papers authored by Biao Song
This map shows the geographic impact of Biao 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 Biao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Song more than expected).
Fields of papers citing papers by Biao Song
This network shows the impact of papers produced by Biao 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 Biao Song. The network helps show where Biao Song may publish in the future.
Co-authorship network of co-authors of Biao Song
This figure shows the co-authorship network connecting the top 25 collaborators of Biao Song. A scholar is included among the top collaborators of Biao 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 Biao Song. Biao 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 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 20 | |
| 7 | 98 | |
| 8 | 52 | |
| 9 | 71 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | 31 | |
| 15 | 18 | |
| 16 | 23 | |
| 17 | 130 | |
| 18 | 5 | |
| 19 | 10 | |
| 20 | 27 |
About Biao Song
Biao Song is a scholar working on Computational Mathematics, Computer Networks and Communications and Hardware and Architecture, having authored 35 papers that have together received 839 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (17 papers), IoT and Edge/Fog Computing (15 papers) and Caching and Content Delivery (6 papers). The work is most often cited by research in Computer Networks and Communications (485 citations), Information Systems (394 citations) and Computer Vision and Pattern Recognition (176 citations). Biao Song has collaborated with scholars based in Saudi Arabia, South Korea and China. Frequent co-authors include Mohammad Mehedi Hassan, Eui‐Nam Huh, M. Shamim Hossain, Ghulam Muhammad, Atif Alamri, Wadood Abdul, Brij B. Gupta, Abdu Gumaei, Abdulhameed Alelaiwi and Mohammed F. Alhamid. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Circuits and Systems for Video Technology.
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.