Longxiang Gao
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Computer Networks and Communications top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Topics
- Privacy-Preserving Technologies in Data (63 papers)Blockchain Technology Applications and Security (33 papers)Cryptography and Data Security (26 papers)
In The Last Decade
Longxiang Gao
152 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 1.9k
- Information Systems 1.5k
- Computer Networks and Communications 1.5k
- Electrical and Electronic Engineering 722
- Computer Vision and Pattern Recognition 457
Countries citing papers authored by Longxiang Gao
This map shows the geographic impact of Longxiang Gao'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 Longxiang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longxiang Gao more than expected).
Fields of papers citing papers by Longxiang Gao
This network shows the impact of papers produced by Longxiang Gao. 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 Longxiang Gao. The network helps show where Longxiang Gao may publish in the future.
Co-authorship network of co-authors of Longxiang Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Longxiang Gao. A scholar is included among the top collaborators of Longxiang Gao 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 Longxiang Gao. Longxiang Gao 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 | 3 | |
| 3 | 42 | |
| 4 | 4 | |
| 5 | A Comprehensive Survey on Multi-View Clusteringbreakdown → | 142 |
| 6 | 7 | |
| 7 | 42 | |
| 8 | 39 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | 34 | |
| 16 | A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networksbreakdown → | 243 |
| 17 | 13 | |
| 18 | 4 | |
| 19 | Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directionsbreakdown → | 391 |
| 20 | Multi-Level Virtual Ring: Cross-Level Name Routing with Embedded Identifier in Sensor Network. | 1 |
About Longxiang Gao
Longxiang Gao is a scholar working on Computational Mathematics, Artificial Intelligence and Computer Science Applications, having authored 169 papers that have together received 3.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (63 papers), Blockchain Technology Applications and Security (33 papers) and Cryptography and Data Security (26 papers). The work is most often cited by research in Information Systems (1.5k citations), Computer Networks and Communications (1.5k citations) and Artificial Intelligence (1.9k citations). Longxiang Gao has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include Yong Xiang, Youyang Qu, Shui Yu, Tom H. Luan, Wanlei Zhou, Saurabh Garg, Lei Cui, Chenhao Xu, Gang Xie and Shiva Raj Pokhrel. Their work appears in journals such as Journal of Agricultural and Food Chemistry, IEEE Communications Surveys & Tutorials and Expert Systems with Applications.
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.