Zhu Xiao-gang
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Topics
- IoT and Edge/Fog Computing (3 papers)Spam and Phishing Detection (2 papers)Advanced Data and IoT Technologies (2 papers)
- Journals
- IEEE Transactions on Fuzzy SystemsIEEE Transactions on Intelligent Transportation SystemsIEEE Internet of Things Journal
- Partner nations
- ChinaJapanSaudi Arabia
In The Last Decade
Zhu Xiao-gang
17 papers receiving 195 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 57
- Computer Networks and Communications 51
- Information Systems 51
- Electrical and Electronic Engineering 31
- Computer Vision and Pattern Recognition 30
Countries citing papers authored by Zhu Xiao-gang
This map shows the geographic impact of Zhu Xiao-gang'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 Zhu Xiao-gang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhu Xiao-gang more than expected).
Fields of papers citing papers by Zhu Xiao-gang
This network shows the impact of papers produced by Zhu Xiao-gang. 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 Zhu Xiao-gang. The network helps show where Zhu Xiao-gang may publish in the future.
Co-authorship network of co-authors of Zhu Xiao-gang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhu Xiao-gang. A scholar is included among the top collaborators of Zhu Xiao-gang 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 Zhu Xiao-gang. Zhu Xiao-gang 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 | 1 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 2 | |
| 11 | 49 | |
| 12 | 18 | |
| 13 | 42 | |
| 14 | 7 | |
| 15 | Did Internet Use Enhance People’s Impulsive Consumption? —— Based on the Theoretical Perspective of the “Digital Divide” | 1 |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 26 | |
| 19 | Internationalization and Localization of China's Higher Education | 1 |
About Zhu Xiao-gang
Zhu Xiao-gang is a scholar working on Computer Networks and Communications, Geology and Information Systems, having authored 19 papers that have together received 203 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Spam and Phishing Detection (2 papers) and Advanced Data and IoT Technologies (2 papers). The work is most often cited by research in Information Systems (51 citations), Computer Networks and Communications (51 citations) and Artificial Intelligence (57 citations). Zhu Xiao-gang has collaborated with scholars based in China, Japan and Saudi Arabia. Frequent co-authors include Keping Yu, Zhiwei Guo, Feng Ding, Feicheng Ma, Qin Zhang, Junchao Yang, Osama Alfarraj, Yu Shen, Victor C. M. Leung and Wenjing Yan. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Intelligent Transportation Systems and IEEE Internet of Things Journal.
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.