Xueying Yang
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Molecular Biology
- Plant Science
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Christian DoerrFernando KuipersShiliang ZhouYanlei LiuChao XuLing WangYuzhe SunWen Zhang
- Topics
- Genomics and Phylogenetic Studies (4 papers)Plant-Microbe Interactions and Immunity (2 papers)IoT Networks and Protocols (2 papers)
- Cited by
- Computer Networks and CommunicationsEcology, Evolution, Behavior and SystematicsPlant Science
- Journals
- Scientific ReportsInternational Journal of Molecular SciencesApplied Microbiology and Biotechnology
- Partner nations
- ChinaSlovakiaNetherlands
In The Last Decade
Xueying Yang
15 papers receiving 251 citations
Peers
Comparison fields: 5 of 58
- Electrical and Electronic Engineering 86
- Computer Networks and Communications 80
- Molecular Biology 79
- Plant Science 62
- Ecology, Evolution, Behavior and Systematics 43
Countries citing papers authored by Xueying Yang
This map shows the geographic impact of Xueying 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 Xueying Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueying Yang more than expected).
Fields of papers citing papers by Xueying Yang
This network shows the impact of papers produced by Xueying 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 Xueying Yang. The network helps show where Xueying Yang may publish in the future.
Co-authorship network of co-authors of Xueying Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xueying Yang. A scholar is included among the top collaborators of Xueying 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 Xueying Yang. Xueying 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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 20 | |
| 12 | 36 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | 2 | |
| 16 | 98 | |
| 17 | 37 | |
| 18 | 8 | |
| 19 | LoRaWAN: Vulnerability Analysis and Practical Expoitation | 6 |
About Xueying Yang
Xueying Yang is a scholar working on Space and Planetary Science, Plant Science and Rehabilitation, having authored 19 papers that have together received 260 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Plant-Microbe Interactions and Immunity (2 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Computer Networks and Communications (80 citations), Ecology, Evolution, Behavior and Systematics (43 citations) and Plant Science (62 citations). Xueying Yang has collaborated with scholars based in China, Slovakia and Netherlands. Frequent co-authors include Christian Doerr, Fernando Kuipers, Shiliang Zhou, Yanlei Liu, Chao Xu, Ling Wang, Yuzhe Sun, Wen Zhang, Ping Wu and Jing Yu. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Applied Microbiology and Biotechnology.
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.