Tianjun Lu

978 total citations
33 papers, 689 citations indexed

About

Tianjun Lu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Transportation. According to data from OpenAlex, Tianjun Lu has authored 33 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Health, Toxicology and Mutagenesis, 10 papers in Environmental Engineering and 7 papers in Transportation. Recurrent topics in Tianjun Lu's work include Air Quality and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (8 papers) and Urban Transport and Accessibility (5 papers). Tianjun Lu is often cited by papers focused on Air Quality and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (8 papers) and Urban Transport and Accessibility (5 papers). Tianjun Lu collaborates with scholars based in United States, China and Germany. Tianjun Lu's co-authors include Qifa Zhang, M. A. Saghai Maroof, Steve Hankey, Yisi Liu, Matthias Demuzere, Ralph Buehler, Andrew Mondschein, Wenwen Zhang, Benjamin Bechtel and Gerald Mills and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Tianjun Lu

29 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tianjun Lu United States 12 270 214 175 144 114 33 689
Ammatzia Peled Israel 9 246 0.9× 79 0.4× 40 0.2× 6 0.0× 35 0.3× 22 430
Sanja Brdar Serbia 12 75 0.3× 89 0.4× 116 0.7× 24 0.2× 20 0.2× 39 468
Chunsheng Fang China 14 329 1.2× 212 1.0× 13 0.1× 11 0.1× 20 0.2× 54 515
Matthew G. Falk Australia 10 167 0.6× 106 0.5× 140 0.8× 4 0.0× 7 0.1× 15 405
Manoochehr Babanezhad Iran 12 53 0.2× 22 0.1× 159 0.9× 37 0.3× 4 0.0× 35 847
Sung–Ho Kil South Korea 10 115 0.4× 153 0.7× 30 0.2× 3 0.0× 12 0.1× 33 429
Vijay Lulla United States 10 260 1.0× 207 1.0× 20 0.1× 7 0.0× 16 0.1× 13 448
Maryam Saffariha Iran 11 165 0.6× 116 0.5× 99 0.6× 3 0.0× 8 0.1× 19 436
Martin Hämmerle Germany 12 79 0.3× 303 1.4× 81 0.5× 4 0.0× 10 0.1× 27 481

Countries citing papers authored by Tianjun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Tianjun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianjun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Tianjun Lu. A scholar is included among the top collaborators of Tianjun 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 Tianjun Lu. Tianjun 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, Tianjun, Sun Young Kim, & Julian Marshall. (2025). High‐Resolution Geospatial Database: National Criteria‐Air‐Pollutant Concentrations in the Contiguous U.S., 2016–2020. Geoscience Data Journal. 12(2). 1 indexed citations
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Lu, Tianjun, et al.. (2025). Changes in wildfire season in Alaska and the consequences for ambient fine PM in recent decades. Global and Planetary Change. 255. 105076–105076.
5.
Qi, Meng, Chunxue Xu, Wenwen Zhang, et al.. (2024). Mapping urban form into local climate zones for the continental US from 1986–2020. Scientific Data. 11(1). 195–195. 10 indexed citations
6.
Huang, Xiao, Siqin Wang, Di Yang, et al.. (2023). Crowdsourcing Geospatial Data for Earth and Human Observations: A Review. SHILAP Revista de lepidopterología. 4. 20 indexed citations
7.
Bechle, Matthew J., Michelle L. Bell, Daniel L. Goldberg, et al.. (2023). Intercomparison of Six National Empirical Models for PM2.5 Air Pollution in the Contiguous US. SHILAP Revista de lepidopterología. 2 indexed citations
8.
Lu, Tianjun, Yisi Liu, Armando García, et al.. (2022). Leveraging Citizen Science and Low-Cost Sensors to Characterize Air Pollution Exposure of Disadvantaged Communities in Southern California. International Journal of Environmental Research and Public Health. 19(14). 8777–8777. 28 indexed citations
9.
Lu, Tianjun, Yisi Liu, Zhaoyuan Li, et al.. (2022). Short-term exposure to fine particulate matter and its constituents may affect renal function via oxidative stress: A longitudinal panel study. Chemosphere. 293. 133570–133570. 32 indexed citations
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Demuzere, Matthias, Steve Hankey, Gerald Mills, et al.. (2020). Combining expert and crowd-sourced training data to map urban form and functions for the continental US. Scientific Data. 7(1). 264–264. 87 indexed citations
12.
Cheng, Xiao, et al.. (2020). Analyses of thermal field and coupled magnetic-mechanical field in electro-permanent magnet blank holder technique. The International Journal of Advanced Manufacturing Technology. 110(1-2). 499–510. 6 indexed citations
13.
Qi, Meng, Tianjun Lu, & Steve Hankey. (2020). Using Google Street View Imagery in Land Use Regression to Predict Street Level Particulate Air Pollution. ISEE Conference Abstracts. 2020(1). 1 indexed citations
14.
Lu, Tianjun, et al.. (2019). Land Use Regression models for 60 volatile organic compounds: Comparing Google Point of Interest (POI) and city permit data. The Science of The Total Environment. 677. 131–141. 21 indexed citations
15.
Lu, Tianjun, Wenwen Zhang, & Steve Hankey. (2018). Leveraging Google Place of Interest (POI) Data, Crowdsourcing, and Machine Learning to Predict Urban NO2 Concentrations for the Contiguous U.S.. ISEE Conference Abstracts. 2018(1). 1 indexed citations
16.
Hankey, Steve, Tianjun Lu, Andrew Mondschein, & Ralph Buehler. (2017). Merging Traffic Monitoring and Direct-Demand Modeling to Assess Spatial Patterns of Annual Average Daily Bicycle and Pedestrian Traffic. Transportation Research Board 96th Annual MeetingTransportation Research Board. 5 indexed citations
17.
Hankey, Steve, Tianjun Lu, Andrew Mondschein, & Ralph Buehler. (2017). Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling. Journal of Transport & Health. 7. 149–159. 36 indexed citations
18.
Lu, Tianjun, et al.. (2014). An Algorithm of Top-k High Utility Itemsets Mining over Data Stream. Journal of Software. 9(9). 8 indexed citations
19.
Lu, Tianjun & Daniel B. Oerther. (2006). Quantification of in Situ Growth Activity: A Novel Approach to Study Response of Activated Sludge to Toxic Shock Loadings. Proceedings of the Water Environment Federation. 2006(7). 5000–5007.
20.
Zhang, Qifa, et al.. (1992). Genetic diversity and differentiation of indica and japonica rice detected by RFLP analysis. Theoretical and Applied Genetics. 83(4). 495–499. 198 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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