Lu Bai

2.3k citations
88 papers · 1.5k · 4 hit papers · h-index 24

Impact in

Papers in

Lu Bai

77 papers receiving 1.5k citations

Lu Bai's Hit Papers

FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation 2025 · 27 citations
270+1+2Years since publication255075

Peers

Lu Bai
Comparison fields: 5 of 123
  • Computational Mathematics 19
  • Computer Vision and Pattern Recognition 541
  • Artificial Intelligence 733
  • Media Technology 135
  • Statistical and Nonlinear Physics 166
Replace Aruna Tiwari with:
Aruna Tiwari India
Ling Tian China
Chi Wang United States
Zhihong Zhang China
Habiboulaye Amadou Boubacar France
Bo Han China
Francesco Camastra Italy
Jiejun Xu United States
Liping Jing China
Lu Bai relative to Aruna Tiwari India Aruna Tiwari's profile →
Citations per field
00.5×3.3×
Aruna Tiwari · 1×
Citations per year

Countries citing papers authored by Lu Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation
Hit paper breakdown →
202385
2 201774
3
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification
Hit paper breakdown →
202472
4 201868
5 201467
6 201467
7
Metalantis: A Comprehensive Underwater Image Enhancement Framework
Hit paper breakdown →
202465
8 202065
9 201663
10 201253
11 201851
12 202038
13 202137
14 202136
15 202133
16 201330
17
FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation
Hit paper breakdown →
202527
18 201627
19 201926
20 202026

About Lu Bai

Lu Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Molecular Biology, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (36 papers), Graph Theory and Algorithms (11 papers), Face and Expression Recognition (10 papers), Quantum Computing Algorithms and Architecture (9 papers), Complex Network Analysis Techniques (9 papers), Topic Modeling (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Topological and Geometric Data Analysis (5 papers). The work is most often cited by research in Computational Mathematics (19 citations), Computer Vision and Pattern Recognition (541 citations), Artificial Intelligence (733 citations), Media Technology (135 citations) and Statistical and Nonlinear Physics (166 citations). Lu Bai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Edwin R. Hancock, Lixin Cui, Zhihong Zhang, Luca Rossi, Xiao Bai, Ming Li, Jun Zhou, Lixiang Xu, Peng Ren and Philip S. Yu. Their work appears in journals such as Pattern Recognition, Multimedia Tools and Applications, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems and Pattern Recognition Letters.

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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