Jau-Huai Lu
- Biomedical Engineering
- Automotive Engineering top 5%
- Health, Toxicology and Mutagenesis top 10%
- Fluid Flow and Transfer Processes top 5%
- Materials Chemistry
- Co-authors
- Lin‐Chi WangLi‐Hao YoungHsi‐Hsien YangYing I. TsaiKeng-Tung WuKanit ManaturaHung‐Te HsuMan‐Ting Cheng
- Topics
- Vehicle emissions and performance (17 papers)Advanced Combustion Engine Technologies (16 papers)Biodiesel Production and Applications (9 papers)
In The Last Decade
Jau-Huai Lu
34 papers receiving 411 citations
Peers
Comparison fields: 5 of 65
- Biomedical Engineering 196
- Automotive Engineering 139
- Health, Toxicology and Mutagenesis 113
- Fluid Flow and Transfer Processes 104
- Materials Chemistry 75
Countries citing papers authored by Jau-Huai Lu
This map shows the geographic impact of Jau-Huai Lu'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 Jau-Huai Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jau-Huai Lu more than expected).
Fields of papers citing papers by Jau-Huai Lu
This network shows the impact of papers produced by Jau-Huai Lu. 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 Jau-Huai Lu. The network helps show where Jau-Huai Lu may publish in the future.
Co-authorship network of co-authors of Jau-Huai Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Jau-Huai Lu. A scholar is included among the top collaborators of Jau-Huai Lu 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 Jau-Huai Lu. Jau-Huai Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 26 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | The Regression Model of NOx Emission in a Real Driving Diesel Vehicle | 1 |
| 7 | 25 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 27 | |
| 11 | A Single Zone Model with Double-Wiebe Function for the Prediction of N-Heptane Fuelled HCCI Engine Performance | 1 |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 61 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About Jau-Huai Lu
Jau-Huai Lu is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Filtration and Separation, having authored 35 papers that have together received 425 indexed citations. Recurring topics across this work include Vehicle emissions and performance (17 papers), Advanced Combustion Engine Technologies (16 papers) and Biodiesel Production and Applications (9 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (104 citations), Automotive Engineering (139 citations) and Health, Toxicology and Mutagenesis (113 citations). Jau-Huai Lu has collaborated with scholars based in Taiwan, Thailand and Vietnam. Frequent co-authors include Lin‐Chi Wang, Li‐Hao Young, Hsi‐Hsien Yang, Ying I. Tsai, Keng-Tung Wu, Kanit Manatura, Hung‐Te Hsu, Man‐Ting Cheng, Wen‐Jhy Lee and Yu‐Cheng Chang. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.
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.