Baichuan Lu

453 citations
24 papers · 321 · h-index 7

Impact in

Papers in

Baichuan Lu

20 papers receiving 301 citations

Peers

Baichuan Lu
Comparison fields: 5 of 46
  • Transportation 249
  • Building and Construction 137
  • Control and Systems Engineering 225
  • Automotive Engineering 68
  • Safety, Risk, Reliability and Quality 41
Replace Fatemeh Fakhrmoosavi with:
Fatemeh Fakhrmoosavi United States
Raphael Luz Austria
Peter Huang United States
Shuzhi Zhao China
Bidoura Khondaker Canada
Ziling Zeng China
Jueying Wang China
Si Lv China
Mitra Pourabdollah Sweden
Bo Lin China
Baichuan Lu relative to Fatemeh Fakhrmoosavi United States Fatemeh Fakhrmoosavi's profile →
Citations per field
00.5×10×15×20×24×
Fatemeh Fakhrmoosavi · 1×
Citations per year

Countries citing papers authored by Baichuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Baichuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004118
2 200177
3 202334
4 199729
5 200614
6 200911
7 20067
8 20106
9 20084
10 20244
11 20003
12 20093
13 20223
14 20122
15
Influences of Bad Weather to Movements of Vehicles
20081
16
A Method of Data Time Registration in Multi-Sensor Multi-Target Tracking
20111
17 20251
18 20031
19 20081
20 20081

About Baichuan Lu

Baichuan Lu is a scholar working on Building and Construction, Control and Systems Engineering, Transportation, Information Systems and Media Technology, having authored 24 papers that have together received 321 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (10 papers), Transportation Planning and Optimization (8 papers), Traffic control and management (5 papers), Vehicle License Plate Recognition (2 papers), Advanced Decision-Making Techniques (2 papers), Supercapacitor Materials and Fabrication (2 papers), Advanced Sensor and Control Systems (2 papers) and Simulation and Modeling Applications (2 papers). The work is most often cited by research in Transportation (249 citations), Building and Construction (137 citations), Control and Systems Engineering (225 citations), Automotive Engineering (68 citations) and Safety, Risk, Reliability and Quality (41 citations). Baichuan Lu has collaborated with scholars based in China, Portugal and United States. Frequent co-authors include José M. Viegas, João Vieira, Wei Xu, Cheng Zhang, Yongsheng Liu, Xinxia Ma, Yunfei Wang, Hai Zhang, Jiang Wu and Mei‐Ling Huang. Their work appears in journals such as International Journal of Biological Macromolecules, Transportation Research Part C Emerging Technologies, Journal of Advanced Transportation, Surfaces and Interfaces and Transportation Planning and Technology.

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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