Jiangshan Yu
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Signal Processing top 10%
- Co-authors
- Paulo Esteves-VeríssimoGuilin WangJérémie DecouchantYi MuWei GaoJoseph K. LiuMark RyanBo Li
- Topics
- Blockchain Technology Applications and Security (37 papers)Cryptography and Data Security (16 papers)Distributed systems and fault tolerance (9 papers)
- Journals
- ACM Computing SurveysIEEE Transactions on Software EngineeringIEEE Transactions on Industrial Informatics
- Partner nations
- AustraliaChinaLuxembourg
In The Last Decade
Jiangshan Yu
54 papers receiving 797 citations
Peers
Comparison fields: 5 of 66
- Information Systems 617
- Computer Networks and Communications 461
- Artificial Intelligence 314
- Computer Vision and Pattern Recognition 56
- Signal Processing 53
Countries citing papers authored by Jiangshan Yu
This map shows the geographic impact of Jiangshan Yu'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 Jiangshan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangshan Yu more than expected).
Fields of papers citing papers by Jiangshan Yu
This network shows the impact of papers produced by Jiangshan Yu. 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 Jiangshan Yu. The network helps show where Jiangshan Yu may publish in the future.
Co-authorship network of co-authors of Jiangshan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangshan Yu. A scholar is included among the top collaborators of Jiangshan Yu 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 Jiangshan Yu. Jiangshan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 33 | |
| 11 | 18 | |
| 12 | 47 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 101 | |
| 17 | Towards Fair and Decentralized Privacy-Preserving Deep Learning | 2 |
| 18 | Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain | 15 |
| 19 | 5 | |
| 20 | 12 |
About Jiangshan Yu
Jiangshan Yu is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 57 papers that have together received 822 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (37 papers), Cryptography and Data Security (16 papers) and Distributed systems and fault tolerance (9 papers). The work is most often cited by research in Information Systems (617 citations), Computer Networks and Communications (461 citations) and Artificial Intelligence (314 citations). Jiangshan Yu has collaborated with scholars based in Australia, China and Luxembourg. Frequent co-authors include Paulo Esteves-Veríssimo, Guilin Wang, Jérémie Decouchant, Yi Mu, Wei Gao, Joseph K. Liu, Mark Ryan, Bo Li, Feifei Chen and Yun Yang. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Software Engineering and IEEE Transactions on Industrial Informatics.
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.