Haolong Xiang
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Xiaolong XuXuyun ZhangWanchun DouLianyong QiYan CuiZheng LiXiaokang ZhouChi Yang
- Topics
- Network Security and Intrusion Detection (11 papers)Anomaly Detection Techniques and Applications (11 papers)IoT and Edge/Fog Computing (5 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsSensorsACM Transactions on Information Systems
- Partner nations
- ChinaAustraliaNew Zealand
In The Last Decade
Haolong Xiang
24 papers receiving 260 citations
Peers
Comparison fields: 5 of 56
- Computer Networks and Communications 143
- Artificial Intelligence 117
- Information Systems 94
- Electrical and Electronic Engineering 44
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Haolong Xiang
This map shows the geographic impact of Haolong Xiang'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 Haolong Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haolong Xiang more than expected).
Fields of papers citing papers by Haolong Xiang
This network shows the impact of papers produced by Haolong Xiang. 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 Haolong Xiang. The network helps show where Haolong Xiang may publish in the future.
Co-authorship network of co-authors of Haolong Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Haolong Xiang. A scholar is included among the top collaborators of Haolong Xiang 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 Haolong Xiang. Haolong Xiang 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 0 | |
| 19 | 14 | |
| 20 | 16 |
About Haolong Xiang
Haolong Xiang is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 34 papers that have together received 267 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Anomaly Detection Techniques and Applications (11 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Networks and Communications (143 citations), Information Systems (94 citations) and Artificial Intelligence (117 citations). Haolong Xiang has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Xiaolong Xu, Xuyun Zhang, Wanchun Dou, Lianyong Qi, Yan Cui, Zheng Li, Xiaokang Zhou, Chi Yang, Sai Ji and Shengjun Xue. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Sensors and ACM Transactions on Information Systems.
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.