Yun-Cheng Wang
About
In The Last Decade
Yun-Cheng Wang
19 papers receiving 333 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 196
- Computer Vision and Pattern Recognition 62
- Information Systems 61
- Aerospace Engineering 28
- Sociology and Political Science 25
Countries citing papers authored by Yun-Cheng Wang
This map shows the geographic impact of Yun-Cheng Wang'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-Cheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun-Cheng Wang more than expected).
Fields of papers citing papers by Yun-Cheng Wang
This network shows the impact of papers produced by Yun-Cheng Wang. 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-Cheng Wang. The network helps show where Yun-Cheng Wang may publish in the future.
Co-authorship network of co-authors of Yun-Cheng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Cheng Wang. A scholar is included among the top collaborators of Yun-Cheng Wang 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-Cheng Wang. Yun-Cheng Wang 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 | 1 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 36 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 36 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 195 | |
| 18 | RESERVOIR PARAMETER PREDICTION BY MULTI-ATTRIBUTE BASED ON HYBRID LEARNING ALGORITHM OF FEED-FORWARD NETWORK | 1 |
| 19 | 1 | |
| 20 | Building symptoms diagnosis criteria of traditional Chinese medical science treatment on the elderly's pneumonia by the rough set theory | 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.