Xiao Ling
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Topics
- Energy Load and Power Forecasting (10 papers)Remote Sensing and Land Use (6 papers)Landslides and related hazards (5 papers)
- Cited by
- Energy Engineering and Power TechnologyManagement Science and Operations ResearchSafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Xiao Ling
38 papers receiving 881 citations
Peers
Comparison fields: 5 of 89
- Electrical and Electronic Engineering 516
- Artificial Intelligence 171
- Management Science and Operations Research 148
- Control and Systems Engineering 121
- Safety, Risk, Reliability and Quality 102
Countries citing papers authored by Xiao Ling
This map shows the geographic impact of Xiao Ling'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 Xiao Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Ling more than expected).
Fields of papers citing papers by Xiao Ling
This network shows the impact of papers produced by Xiao Ling. 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 Xiao Ling. The network helps show where Xiao Ling may publish in the future.
Co-authorship network of co-authors of Xiao Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ling. A scholar is included among the top collaborators of Xiao Ling 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 Xiao Ling. Xiao Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 10 | |
| 16 | 46 | |
| 17 | 0 | |
| 18 | 18 | |
| 19 | 68 | |
| 20 | 33 |
About Xiao Ling
Xiao Ling is a scholar working on Management, Monitoring, Policy and Law, Management Science and Operations Research and Media Technology, having authored 44 papers that have together received 909 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Remote Sensing and Land Use (6 papers) and Landslides and related hazards (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (41 citations), Management Science and Operations Research (148 citations) and Safety, Risk, Reliability and Quality (102 citations). Xiao Ling has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Yao Dong, Jianzhou Wang, Jie Wu, Yunxuan Dong, Wenjuan Du, Shenghui Zhang, Zhi‐Hua Hu, Dongping Ming, Siqi Bu and H.F. Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.
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.