Lei Bai

4.4k citations
120 papers · 1.6k · h-index 23

Impact in

    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis
    • Traffic Prediction and Management Techniques
    • Building Energy and Comfort Optimization

Papers in

Lei Bai

92 papers receiving 1.6k citations

Peers

Lei Bai
Comparison fields: 5 of 133
  • Transportation 225
  • Building and Construction 442
  • Computer Vision and Pattern Recognition 439
  • Environmental Engineering 230
  • Signal Processing 143
Replace Xiaohui Huang with:
Xiaohui Huang China
Lingbo Liu China
Jiasong Zhu China
Jiawei Zhu China
Kai Xu China
Hongyu Huang China
Liang Huang China
Xingming Wu China
Daniel G. Aliaga United States
Lei Bai relative to Xiaohui Huang China Xiaohui Huang's profile →
Citations per field
00.5×1.7×
Xiaohui Huang · 1×
Citations per year

Countries citing papers authored by Lei Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 2021129
3 201873
4 202058
5 202157
6 201853
7 201449
8 202248
9 202148
10 202038
11 202237
12 202334
13 202133
14 202132
15 202032
16 201931
17 201829
18 202425
19 202225
20 202324

About Lei Bai

Lei Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Building and Construction, Transportation and Atmospheric Science, having authored 120 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (21 papers), Human Mobility and Location-Based Analysis (13 papers), Video Surveillance and Tracking Methods (11 papers), Human Pose and Action Recognition (11 papers), Meteorological Phenomena and Simulations (11 papers), Transportation Planning and Optimization (9 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Transportation (225 citations), Building and Construction (442 citations), Computer Vision and Pattern Recognition (439 citations), Environmental Engineering (230 citations) and Signal Processing (143 citations). Lei Bai has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Wanli Ouyang, Lina Yao, Liu Yang, Salvatore Carlucci, Richard de Dear, Xianzhi Wang, Can Li, Wei Liu, S. Travis Waller and Xiao Song. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Communications Earth & Environment.

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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