Zhe Yang
- Information Systems top 0.5%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Co-authors
- Kan ZhengLei LeiKan YangVictor C. M. LeungWei XiangQihao ZhouKuan ZhangPeriklis Chatzimisios
- Topics
- Caching and Content Delivery (4 papers)Blockchain Technology Applications and Security (4 papers)Cloud Computing and Resource Management (3 papers)
In The Last Decade
Zhe Yang
18 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Information Systems 960
- Computer Networks and Communications 813
- Electrical and Electronic Engineering 592
- Artificial Intelligence 431
- Biomedical Engineering 171
Countries citing papers authored by Zhe Yang
This map shows the geographic impact of Zhe Yang'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 Zhe Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhe Yang more than expected).
Fields of papers citing papers by Zhe Yang
This network shows the impact of papers produced by Zhe Yang. 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 Zhe Yang. The network helps show where Zhe Yang may publish in the future.
Co-authorship network of co-authors of Zhe Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Yang. A scholar is included among the top collaborators of Zhe Yang 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 Zhe Yang. Zhe Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | A Decentralized Blockchain with High Throughput and Fast Confirmation | 51 |
| 5 | 2 | |
| 6 | 14 | |
| 7 | Blockchain-Based Decentralized Trust Management in Vehicular Networksbreakdown → | 689 |
| 8 | 23 | |
| 9 | 13 | |
| 10 | 133 | |
| 11 | 113 | |
| 12 | An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcarebreakdown → | 317 |
| 13 | 209 | |
| 14 | 101 | |
| 15 | 3 | |
| 16 | 25 | |
| 17 | 1 | |
| 18 | Information Searching Model and Algorithm Based on Correlation Degree of Ontology Concepts | 1 |
| 19 | 1 | |
| 20 | 3 |
About Zhe Yang
Zhe Yang is a scholar working on Information Systems, Computer Networks and Communications and Software, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Blockchain Technology Applications and Security (4 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Information Systems (960 citations), Computer Networks and Communications (813 citations) and Artificial Intelligence (431 citations). Zhe Yang has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Kan Zheng, Lei Lei, Kan Yang, Victor C. M. Leung, Wei Xiang, Qihao Zhou, Kuan Zhang, Periklis Chatzimisios, Xiong Xiong and Xianbin Wang. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and Pattern Recognition Letters.
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.