Teng Long
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 2%
- Automotive Engineering top 2%
- Environmental Engineering top 5%
- Materials Chemistry
- Co-authors
- Chaoqiang JiangYupeng YuanShiyi ShaoSaikat GhoshRichard McMahonEhsan AbdiYam P. SiwakotiYanfeng Shen
- Topics
- Advanced DC-DC Converters (44 papers)Silicon Carbide Semiconductor Technologies (43 papers)Multilevel Inverters and Converters (38 papers)
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringAutomotive Engineering
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Teng Long
174 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Electrical and Electronic Engineering 2.0k
- Control and Systems Engineering 572
- Automotive Engineering 417
- Environmental Engineering 311
- Materials Chemistry 285
Countries citing papers authored by Teng Long
This map shows the geographic impact of Teng Long'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 Teng Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Long more than expected).
Fields of papers citing papers by Teng Long
This network shows the impact of papers produced by Teng Long. 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 Teng Long. The network helps show where Teng Long may publish in the future.
Co-authorship network of co-authors of Teng Long
This figure shows the co-authorship network connecting the top 25 collaborators of Teng Long. A scholar is included among the top collaborators of Teng Long 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 Teng Long. Teng Long 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 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 32 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 17 | |
| 11 | 30 | |
| 12 | 2 | |
| 13 | 28 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 59 | |
| 18 | 17 | |
| 19 | 22 | |
| 20 | Experimental LVRT performance of a 250 kW brushless DFIG | 2 |
About Teng Long
Teng Long is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology and Control and Systems Engineering, having authored 195 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (44 papers), Silicon Carbide Semiconductor Technologies (43 papers) and Multilevel Inverters and Converters (38 papers). The work is most often cited by research in Energy Engineering and Power Technology (233 citations), Electrical and Electronic Engineering (2.0k citations) and Automotive Engineering (417 citations). Teng Long has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Chaoqiang Jiang, Yupeng Yuan, Shiyi Shao, Saikat Ghosh, Richard McMahon, Ehsan Abdi, Yam P. Siwakoti, Yanfeng Shen, Hui Zhao and Boyang Shen. Their work appears in journals such as Science, Journal of the American Chemical Society and Nature Communications.
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.