Yin Cheng
- Ocean Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Materials Chemistry
- Co-authors
- Weidong ZhangYuexin HuangBo PangZhijian SunJ. GjønnesWu LiWenbin LiBo Yang
- Topics
- Quasicrystal Structures and Properties (6 papers)Adaptive Dynamic Programming Control (5 papers)Reinforcement Learning in Robotics (4 papers)
- Partner nations
- China
In The Last Decade
Yin Cheng
26 papers receiving 378 citations
Peers
Comparison fields: 5 of 70
- Ocean Engineering 148
- Computer Vision and Pattern Recognition 96
- Artificial Intelligence 82
- Control and Systems Engineering 70
- Materials Chemistry 46
Countries citing papers authored by Yin Cheng
This map shows the geographic impact of Yin Cheng'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 Yin Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Cheng more than expected).
Fields of papers citing papers by Yin Cheng
This network shows the impact of papers produced by Yin Cheng. 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 Yin Cheng. The network helps show where Yin Cheng may publish in the future.
Co-authorship network of co-authors of Yin Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yin Cheng. A scholar is included among the top collaborators of Yin Cheng 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 Yin Cheng. Yin Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 47 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 197 | |
| 9 | 29 | |
| 10 | [Qualitative-Quantitative Analysis of Rice Bran Oil Adulteration Based on Laser Near Infrared Spectroscopy]. | 4 |
| 11 | 1 | |
| 12 | Predicting d-Pareto dominance in multi-objectiveoptimization using nearest neighbor classification method | 0 |
| 13 | Islanding Method in Distribution Networks with the Consideration of Load Management | 1 |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 11 |
About Yin Cheng
Yin Cheng is a scholar working on Energy Engineering and Power Technology, Biophysics and Computational Theory and Mathematics, having authored 28 papers that have together received 390 indexed citations. Recurring topics across this work include Quasicrystal Structures and Properties (6 papers), Adaptive Dynamic Programming Control (5 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Ocean Engineering (148 citations), Computer Vision and Pattern Recognition (96 citations) and Transportation (27 citations). Yin Cheng has collaborated with scholars based in China. Frequent co-authors include Weidong Zhang, Yuexin Huang, Bo Pang, Zhijian Sun, J. Gjønnes, Wu Li, Wenbin Li, Bo Yang, Tingting Deng and Bin Xu. Their work appears in journals such as Physical review. B, Condensed matter, Dalton Transactions and Neurocomputing.
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.