Kai-Fa Lu

614 total citations
22 papers, 406 citations indexed

About

Kai-Fa Lu is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering and Environmental Engineering. According to data from OpenAlex, Kai-Fa Lu has authored 22 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 12 papers in Automotive Engineering and 10 papers in Environmental Engineering. Recurrent topics in Kai-Fa Lu's work include Air Quality and Health Impacts (14 papers), Vehicle emissions and performance (10 papers) and Air Quality Monitoring and Forecasting (6 papers). Kai-Fa Lu is often cited by papers focused on Air Quality and Health Impacts (14 papers), Vehicle emissions and performance (10 papers) and Air Quality Monitoring and Forecasting (6 papers). Kai-Fa Lu collaborates with scholars based in United States, China and United Arab Emirates. Kai-Fa Lu's 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 and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and International Journal of Environmental Research and Public Health.

In The Last Decade

Kai-Fa Lu

21 papers receiving 398 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai-Fa Lu United States 12 216 193 146 68 62 22 406
Xuying Ma China 13 225 1.0× 169 0.9× 71 0.5× 69 1.0× 54 0.9× 29 407
Stijn Vermoote Czechia 3 177 0.8× 104 0.5× 82 0.6× 41 0.6× 98 1.6× 3 417
Jiankai Wang China 5 349 1.6× 467 2.4× 97 0.7× 108 1.6× 24 0.4× 7 570
Pramila Goyal India 12 487 2.3× 400 2.1× 187 1.3× 155 2.3× 27 0.4× 18 675
Rafael A. O. Nunes Portugal 11 187 0.9× 353 1.8× 182 1.2× 144 2.1× 24 0.4× 22 524
Zhiwei Wan China 4 213 1.0× 267 1.4× 101 0.7× 62 0.9× 18 0.3× 7 398
Yujin Park United States 10 167 0.8× 292 1.5× 177 1.2× 52 0.8× 204 3.3× 16 703
P.J. Pérez-Martínez Brazil 15 461 2.1× 193 1.0× 298 2.0× 207 3.0× 130 2.1× 32 768
Abhilash Vijayan India 10 215 1.0× 168 0.9× 157 1.1× 62 0.9× 33 0.5× 35 411
Huaxing Lin China 11 251 1.2× 323 1.7× 94 0.6× 49 0.7× 23 0.4× 16 570

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-authorship network of co-authors of Kai-Fa Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai-Fa Lu. A scholar is included among the top collaborators of Kai-Fa 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 Kai-Fa Lu. Kai-Fa Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lu, Kai-Fa, et al.. (2025). Unraveling urban bike-sharing dynamics: Spatiotemporal imbalances in bike rentals and returns in Washington D.C.. Cities. 162. 105967–105967. 1 indexed citations
2.
3.
Lu, Kai-Fa, et al.. (2024). Autonomous shuttle acceptance in an American suburban context: A revealed preference study in Lake Nona, Florida. Travel Behaviour and Society. 37. 100865–100865. 5 indexed citations
4.
Gallagher, John, et al.. (2024). Characterizing the distribution pattern of traffic-related air pollutants in near-road neighborhoods. Environmental Monitoring and Assessment. 196(8). 767–767. 1 indexed citations
5.
He, Hong-di, et al.. (2023). Quantifying traffic-related carbon emissions on elevated roads through on-road measurements. Environmental Research. 231(Pt 2). 116200–116200. 10 indexed citations
6.
Miao, Chunping, Zhong‐Ren Peng, Xingyuan He, et al.. (2023). Quantifying and predicting air quality on different road types in urban environments using mobile monitoring and automated machine learning. Atmospheric Pollution Research. 15(3). 102015–102015. 11 indexed citations
7.
Hu, Qingyao, et al.. (2023). Quantification of Gaseous and Particulate Emission Factors from a Cargo Ship on the Huangpu River. Journal of Marine Science and Engineering. 11(8). 1580–1580. 4 indexed citations
8.
Peng, Zhong‐Ren, et al.. (2023). The Pathway of Urban Planning AI: From Planning Support to Plan-Making. Journal of Planning Education and Research. 44(4). 2263–2279. 32 indexed citations
9.
Wu, Jie, Wenbin Yang, Zhanyong Wang, et al.. (2023). Measuring and modeling the effects of green barriers on the spatial distribution of fine particulate matter at roadside. Urban Climate. 52. 101727–101727. 7 indexed citations
10.
11.
Lu, Kai-Fa & Zhong‐Ren Peng. (2022). Impacts of viaduct and geometry configurations on the distribution of traffic-related particulate matter in urban street canyon. The Science of The Total Environment. 858(Pt 1). 159902–159902. 16 indexed citations
12.
Zhao, Hongmei, et al.. (2022). Measuring the impact of an exogenous factor: An exponential smoothing model of the response of shipping to COVID-19. Transport Policy. 118. 91–100. 28 indexed citations
13.
Wang, Dongsheng, et al.. (2022). Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network. International Journal of Environmental Research and Public Health. 19(7). 3988–3988. 16 indexed citations
14.
He, Hong-di, et al.. (2022). Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems. Journal of Cleaner Production. 378. 134458–134458. 56 indexed citations
15.
Wang, Hongwei, et al.. (2021). Characterizing the interruption-recovery patterns of urban air pollution under the COVID-19 lockdown in China. Building and Environment. 205. 108231–108231. 17 indexed citations
16.
17.
Lu, Kai-Fa, et al.. (2021). Assessing the effects of non-local traffic restriction policy on urban air quality. Transport Policy. 115. 62–74. 22 indexed citations
18.
Lu, Kai-Fa, Hong-di He, Hongwei Wang, Xiaobing Li, & Zhong‐Ren Peng. (2020). Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas. Building and Environment. 172. 106678–106678. 53 indexed citations
19.
Wang, Dongsheng, Hongwei Wang, Chao Li, et al.. (2020). Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-Sequence Model. International Journal of Environmental Research and Public Health. 17(24). 9471–9471. 12 indexed citations
20.
Heerink, Nico, et al.. (2010). Impact of soil and water conservation investments on agricultural development in West China. Socio-Environmental Systems Modeling. 67–94. 2 indexed citations

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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2026