Changkui Cheng
- Electrical and Electronic Engineering
- Materials Chemistry
- Computer Vision and Pattern Recognition top 10%
- Astronomy and Astrophysics
- Control and Systems Engineering
- Co-authors
- Jian LiTianyan JiangS. GrzybowskiCaisheng WangCaixin SunYuzhe LiXian ZhangQian Xiong
- Topics
- High voltage insulation and dielectric phenomena (8 papers)Power Transformer Diagnostics and Insulation (5 papers)Electrostatic Discharge in Electronics (4 papers)
- Cited by
- Materials ChemistryElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Antennas and PropagationIEEE Transactions on Dielectrics and Electrical InsulationInternational Journal of Antennas and Propagation
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Changkui Cheng
10 papers receiving 339 citations
Peers
Comparison fields: 5 of 36
- Electrical and Electronic Engineering 274
- Materials Chemistry 269
- Computer Vision and Pattern Recognition 96
- Astronomy and Astrophysics 54
- Control and Systems Engineering 37
Countries citing papers authored by Changkui Cheng
This map shows the geographic impact of Changkui 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 Changkui Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changkui Cheng more than expected).
Fields of papers citing papers by Changkui Cheng
This network shows the impact of papers produced by Changkui 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 Changkui Cheng. The network helps show where Changkui Cheng may publish in the future.
Co-authorship network of co-authors of Changkui Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Changkui Cheng. A scholar is included among the top collaborators of Changkui 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 Changkui Cheng. Changkui 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 | 1 | |
| 2 | 70 | |
| 3 | 6 | |
| 4 | 72 | |
| 5 | 10 | |
| 6 | 75 | |
| 7 | Multi-Scale Grid Dimension Extraction and Recognition of Ultra-High Frequency Signals of Transformer Partial Discharge | 1 |
| 8 | 98 | |
| 9 | 1 | |
| 10 | 19 |
About Changkui Cheng
Changkui Cheng is a scholar working on Ecological Modeling, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 353 indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (8 papers), Power Transformer Diagnostics and Insulation (5 papers) and Electrostatic Discharge in Electronics (4 papers). The work is most often cited by research in Materials Chemistry (269 citations), Electrical and Electronic Engineering (274 citations) and Computer Vision and Pattern Recognition (96 citations). Changkui Cheng has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Jian Li, Tianyan Jiang, S. Grzybowski, Caisheng Wang, Caixin Sun, Yuzhe Li, Xian Zhang and Qian Xiong. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, IEEE Transactions on Dielectrics and Electrical Insulation and International Journal of Antennas and Propagation.
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.