Kun Deng
- Control and Systems Engineering top 5%
- Building and Construction top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Automotive Engineering top 5%
- Co-authors
- Prashant G. MehtaSean MeynStephen ScottJinxiu WangShengbo Eben LiPrabir BarooahMinghai YuanW. Art Chaovalitwongse
- Topics
- Machine Learning and Algorithms (12 papers)Building Energy and Comfort Optimization (7 papers)Machine Learning and Data Classification (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Automatic Control
- Partner nations
- United StatesChinaAustria
In The Last Decade
Kun Deng
54 papers receiving 996 citations
Peers
Comparison fields: 5 of 94
- Control and Systems Engineering 327
- Building and Construction 227
- Artificial Intelligence 215
- Electrical and Electronic Engineering 206
- Automotive Engineering 180
Countries citing papers authored by Kun Deng
This map shows the geographic impact of Kun Deng'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 Kun Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Deng more than expected).
Fields of papers citing papers by Kun Deng
This network shows the impact of papers produced by Kun Deng. 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 Kun Deng. The network helps show where Kun Deng may publish in the future.
Co-authorship network of co-authors of Kun Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Deng. A scholar is included among the top collaborators of Kun Deng 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 Kun Deng. Kun Deng 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 40 | |
| 12 | 3 | |
| 13 | 96 | |
| 14 | 24 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | A fault diagnosis method based on an improved BP neural network | 3 |
| 20 | 7 |
About Kun Deng
Kun Deng is a scholar working on Computational Mathematics, Automotive Engineering and Statistics, Probability and Uncertainty, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (12 papers), Building Energy and Comfort Optimization (7 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Building and Construction (227 citations), Automotive Engineering (180 citations) and Control and Systems Engineering (327 citations). Kun Deng has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Prashant G. Mehta, Sean Meyn, Stephen Scott, Jinxiu Wang, Shengbo Eben Li, Prabir Barooah, Minghai Yuan, W. Art Chaovalitwongse, MengChu Zhou and Yang Zheng. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Automatic Control.
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.