Zi Lin
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Xiaolei LiuZi‐Ming FengSaeid LotfianShahram HanifiWanqing ZhangMaurizio ColluHengxu LiuLiyun Lao
- Topics
- Wind Energy Research and Development (13 papers)Energy Load and Power Forecasting (11 papers)Wave and Wind Energy Systems (7 papers)
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- Applied EnergyEnergyRenewable Energy
- Partner nations
- United KingdomChina
In The Last Decade
Zi Lin
31 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Electrical and Electronic Engineering 1.3k
- Artificial Intelligence 588
- Aerospace Engineering 414
- Control and Systems Engineering 332
- Management Science and Operations Research 179
Countries citing papers authored by Zi Lin
This map shows the geographic impact of Zi Lin'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 Zi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zi Lin more than expected).
Fields of papers citing papers by Zi Lin
This network shows the impact of papers produced by Zi Lin. 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 Zi Lin. The network helps show where Zi Lin may publish in the future.
Co-authorship network of co-authors of Zi Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Zi Lin. A scholar is included among the top collaborators of Zi Lin 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 Zi Lin. Zi Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 36 | |
| 5 | 73 | |
| 6 | 47 | |
| 7 | 26 | |
| 8 | A Critical Review of Wind Power Forecasting Methods—Past, Present and Futurebreakdown → | 266 |
| 9 | 175 | |
| 10 | 25 | |
| 11 | 116 | |
| 12 | 4 | |
| 13 | 100 | |
| 14 | 1 | |
| 15 | 33 | |
| 16 | 9 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | 6 |
About Zi Lin
Zi Lin is a scholar working on Aerospace Engineering, Ocean Engineering and Control and Systems Engineering, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wind Energy Research and Development (13 papers), Energy Load and Power Forecasting (11 papers) and Wave and Wind Energy Systems (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (95 citations), Electrical and Electronic Engineering (1.3k citations) and Artificial Intelligence (588 citations). Zi Lin has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Xiaolei Liu, Zi‐Ming Feng, Saeid Lotfian, Shahram Hanifi, Wanqing Zhang, Maurizio Collu, Hengxu Liu, Liyun Lao, Tenghui Li and Hongxin Zhang. Their work appears in journals such as Applied Energy, Energy and Renewable Energy.
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.