Dan Shan
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Aerospace Engineering
- Control and Systems Engineering
- Topics
- Ultra-Wideband Communications Technology (4 papers)Vehicular Ad Hoc Networks (VANETs) (4 papers)Power Line Communications and Noise (4 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringAutomotive Engineering
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Journal on Selected Areas in Communications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Shan
30 papers receiving 302 citations
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 227
- Computer Networks and Communications 109
- Computer Vision and Pattern Recognition 38
- Aerospace Engineering 36
- Control and Systems Engineering 32
Countries citing papers authored by Dan Shan
This map shows the geographic impact of Dan Shan'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 Dan Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Shan more than expected).
Fields of papers citing papers by Dan Shan
This network shows the impact of papers produced by Dan Shan. 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 Dan Shan. The network helps show where Dan Shan may publish in the future.
Co-authorship network of co-authors of Dan Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Shan. A scholar is included among the top collaborators of Dan Shan 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 Dan Shan. Dan Shan 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 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 22 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 46 | |
| 14 | 53 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | A Wireless Sensor Networks Cluster Tree Routing Algorithm Based on ZigBee | 0 |
| 18 | 1 | |
| 19 | 5 | |
| 20 | Cluster-Head Selection Method Based on Node's Density for Wireless Sensor Networks | 1 |
About Dan Shan
Dan Shan is a scholar working on Computer Networks and Communications, Geology and Electrical and Electronic Engineering, having authored 34 papers that have together received 315 indexed citations. Recurring topics across this work include Ultra-Wideband Communications Technology (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers) and Power Line Communications and Noise (4 papers). The work is most often cited by research in Computer Networks and Communications (109 citations), Electrical and Electronic Engineering (227 citations) and Automotive Engineering (23 citations). Dan Shan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xuemin Shen, Fan Bai, Haibo Zhou, Xifeng Guo, Kai Zeng, Ye Gao, Di Zheng, Yupeng Li, Quan Yu and Nan Cheng. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Journal on Selected Areas in Communications.
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.