Lei Bai

4.2k citations
116 papers · 1.5k · h-index 23

Impact in

Papers in

Lei Bai

93 papers receiving 1.5k citations

Peers

Lei Bai
Comparison fields: 5 of 122
  • Transportation 224
  • Computer Vision and Pattern Recognition 456
  • Building and Construction 265
  • Signal Processing 144
  • Artificial Intelligence 379
Replace Jiawei Zhu with:
Jiawei Zhu China
Lingbo Liu China
Ling Cai United States
Kai Xu China
Xiaobo Lu China
Jingwen Yan China
Xingming Wu China
Xinyu Chen China
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Citations per field
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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 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021133
2 201873
3 202161
4 202059
5 202254
6 201854
7 202151
8 202040
9 202237
10 202336
11 202134
12 202433
13 202133
14 202032
15 201932
16 201829
17 202228
18 202226
19 202024
20 202124

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 116 papers that have together received 1.5k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (20 papers), Human Mobility and Location-Based Analysis (13 papers), Meteorological Phenomena and Simulations (11 papers), Human Pose and Action Recognition (11 papers), Video Surveillance and Tracking Methods (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 (224 citations), Computer Vision and Pattern Recognition (456 citations), Building and Construction (265 citations), Signal Processing (144 citations) and Artificial Intelligence (379 citations). Lei Bai has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Wanli Ouyang, Lina Yao, Xianzhi Wang, Can Li, Wei Liu, Xiao Song, Zhe Wang, S. Travis Waller, Salil S. Kanhere and Shixiang Tang. 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, Transportation Research Part C Emerging Technologies 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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