Shun Long
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Pediatrics, Perinatology and Child Health
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Topics
- Advanced Fiber Optic Sensors (5 papers)Neonatal and fetal brain pathology (5 papers)Parallel Computing and Optimization Techniques (5 papers)
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Shun Long
34 papers receiving 557 citations
Peers
Comparison fields: 5 of 105
- Electrical and Electronic Engineering 210
- Artificial Intelligence 129
- Pediatrics, Perinatology and Child Health 71
- Computer Vision and Pattern Recognition 71
- Biomedical Engineering 71
Countries citing papers authored by Shun Long
This map shows the geographic impact of Shun Long'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 Shun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun Long more than expected).
Fields of papers citing papers by Shun Long
This network shows the impact of papers produced by Shun Long. 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 Shun Long. The network helps show where Shun Long may publish in the future.
Co-authorship network of co-authors of Shun Long
This figure shows the co-authorship network connecting the top 25 collaborators of Shun Long. A scholar is included among the top collaborators of Shun Long 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 Shun Long. Shun Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 60 | |
| 11 | 40 | |
| 12 | 77 | |
| 13 | 2 | |
| 14 | 28 | |
| 15 | 2 | |
| 16 | 33 | |
| 17 | 60 | |
| 18 | 19 | |
| 19 | 1 | |
| 20 | 5 |
About Shun Long
Shun Long is a scholar working on Hardware and Architecture, Software and Artificial Intelligence, having authored 40 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (5 papers), Neonatal and fetal brain pathology (5 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (64 citations), Artificial Intelligence (129 citations) and Bioengineering (21 citations). Shun Long has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Jieyun Bai, Yaosheng Lu, Zhe Chen, Wanmin Lian, Michael O’Boyle, Mujun Liu, Yilin Wu, Jieyuan Tang, Yunhan Luo and Jianhui Yu. Their work appears in journals such as Optics Express, Expert Systems with Applications and Biosensors and Bioelectronics.
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.