Kai-Fa Lu

665 citations
23 papers · 460 · h-index 13

Impact in

Papers in

Kai-Fa Lu

23 papers receiving 451 citations

Peers

Kai-Fa Lu
Comparison fields: 5 of 69
  • Health, Toxicology and Mutagenesis 225
  • Environmental Engineering 205
  • Automotive Engineering 153
  • Transportation 70
  • Speech and Hearing 31
Replace Abhilash Vijayan with:
Abhilash Vijayan India
Xuying Ma China
Stijn Vermoote Czechia
Emma Ferranti United Kingdom
P.J. Pérez-Martínez Brazil
Huaxing Lin China
Rouzbeh Shad Iran
AL-Barakani Abdo China
Yujin Park United States
Nikola Milojevic-Dupont Germany
Kai-Fa Lu relative to Abhilash Vijayan India Abhilash Vijayan's profile →
Citations per field
00.5×3.1×
Abhilash Vijayan · 1×
Citations per year

Countries citing papers authored by Kai-Fa Lu

Since Specialization
Citations

This map shows the geographic impact of Kai-Fa 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 Kai-Fa Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Fa Lu more than expected).

Fields of papers citing papers by Kai-Fa Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Fa 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 Kai-Fa Lu. The network helps show where Kai-Fa Lu may publish in the future.

Co-authors

The 25 scholars most cited alongside Kai-Fa Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai-Fa Lu Line = papers co-authored together Kai-Fa Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202263
2 202159
3 202056
4 202148
5 202345
6 202232
7 202123
8 202120
9 202218
10 202217
11 202313
12 202012
13 202312
14 20239
15 20227
16 20227
17 20246
18 20234
19 20253
20
Impact of soil and water conservation investments on agricultural development in West China
20102

About Kai-Fa Lu

Kai-Fa Lu is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Environmental Engineering, Transportation and Atmospheric Science, having authored 23 papers that have together received 460 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (14 papers), Vehicle emissions and performance (10 papers), Air Quality Monitoring and Forecasting (6 papers), Atmospheric chemistry and aerosols (5 papers), Transportation Planning and Optimization (3 papers), Transportation and Mobility Innovations (2 papers), Wind and Air Flow Studies (2 papers) and Noise Effects and Management (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (225 citations), Environmental Engineering (205 citations), Automotive Engineering (153 citations), Transportation (70 citations) and Speech and Hearing (31 citations). Kai-Fa Lu has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Zhong‐Ren Peng, Hong-di He, Hongwei Wang, Xiaobing Li, H. Oliver Gao, Wei Zhai, Hongmei Zhao, Xiaolong Han, Xin Liu and Dongsheng Wang. Their work appears in journals such as Atmospheric Pollution Research, International Journal of Environmental Research and Public Health, Transport Policy, Building and Environment and Environmental Monitoring and Assessment.

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.

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