Tianjun Lu

30 papers receiving 733 citations

Peers

Tianjun Lu
Comparison fields: 5 of 92
  • Health, Toxicology and Mutagenesis 267
  • Transportation 110
  • Environmental Engineering 218
  • Speech and Hearing 47
  • Genetics 152
Replace Matthias Weigand with:
Matthias Weigand Germany
Ammatzia Peled Israel
Shihao Wang China
Martin Hämmerle Germany
Baoqing Wang China
Vijay Lulla United States
Matthew G. Falk Australia
Sanja Brdar Serbia
Mehdi Zamani China
Tianjun Lu relative to Matthias Weigand Germany Matthias Weigand's profile →
Citations per field
00.5×10×20×30.4×
Matthias Weigand · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tianjun 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 Tianjun Lu Line = papers co-authored together Tianjun Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992214
2 202095
3 202174
4 202142
5 201737
6 202137
7 202235
8 202234
9 201832
10 202329
11 201922
12 202214
13 202411
14 202111
15 20229
16 20249
17 20148
18 20206
19
Merging Traffic Monitoring and Direct-Demand Modeling to Assess Spatial Patterns of Annual Average Daily Bicycle and Pedestrian Traffic
20175
20 20255

About Tianjun Lu

Tianjun Lu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Transportation, Global and Planetary Change and Atmospheric Science, having authored 34 papers that have together received 750 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (8 papers), Urban Transport and Accessibility (5 papers), Atmospheric chemistry and aerosols (4 papers), Climate Change and Health Impacts (4 papers), Impact of Light on Environment and Health (4 papers), Noise Effects and Management (3 papers) and Urban Green Space and Health (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (267 citations), Transportation (110 citations), Environmental Engineering (218 citations), Speech and Hearing (47 citations) and Genetics (152 citations). Tianjun Lu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Qifa Zhang, M. A. Saghai Maroof, Steve Hankey, Yisi Liu, Matthias Demuzere, Ralph Buehler, Andrew Mondschein, Benjamin Bechtel, Wenwen Zhang and Gerald Mills. Their work appears in journals such as Scientific Data, International Journal of Applied Earth Observation and Geoinformation, Transportation Research Part D Transport and Environment, Journal of the American Chemical Society and Chemosphere.

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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