Yun Ju
About
In The Last Decade
Yun Ju
12 papers receiving 379 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Electrical and Electronic Engineering 200
- Artificial Intelligence 115
- Control and Systems Engineering 36
- Management Science and Operations Research 36
- Renewable Energy, Sustainability and the Environment 34
Countries citing papers authored by Yun Ju
This map shows the geographic impact of Yun Ju'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 Yun Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Ju more than expected).
Fields of papers citing papers by Yun Ju
This network shows the impact of papers produced by Yun Ju. 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 Yun Ju. The network helps show where Yun Ju may publish in the future.
Co-authorship network of co-authors of Yun Ju
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Ju. A scholar is included among the top collaborators of Yun Ju 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 Yun Ju. Yun Ju 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 | 6 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 43 | |
| 8 | 11 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | A Model Combining Convolutional Neural Network and LightGBM Algorithm for Ultra-Short-Term Wind Power Forecasting breakdown → | 284 |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 1 |
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.