Luwei Xiao

1.2k total citations · 1 hit paper
27 papers, 682 citations indexed

About

Luwei Xiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Luwei Xiao has authored 27 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Luwei Xiao's work include Sentiment Analysis and Opinion Mining (15 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (7 papers). Luwei Xiao is often cited by papers focused on Sentiment Analysis and Opinion Mining (15 papers), Topic Modeling (9 papers) and Advanced Text Analysis Techniques (7 papers). Luwei Xiao collaborates with scholars based in China, Singapore and United States. Luwei Xiao's co-authors include Xingjiao Wu, Liang He, Tianlong Ma, Junhang Zhang, Yixuan Sun, Yun Xue, Xiaohui Hu, Hua Wang, Yongsheng Zhu and Yinong Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Luwei Xiao

21 papers receiving 661 citations

Hit Papers

A survey of human-in-the-loop for machine learning 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey of human-in-the-loop for machine learning
    2022 368 citations Xingjiao Wu, Luwei Xiao et al. Future Generation Computer Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luwei Xiao China 10 415 99 44 42 35 27 682
Tarek R. Besold Germany 12 450 1.1× 61 0.6× 38 0.9× 52 1.2× 33 0.9× 42 661
Xingjiao Wu China 10 321 0.8× 251 2.5× 38 0.9× 17 0.4× 31 0.9× 42 710
Nina Dethlefs United Kingdom 17 481 1.2× 60 0.6× 45 1.0× 32 0.8× 83 2.4× 64 805
Ilana Heintz United States 5 386 0.9× 54 0.5× 104 2.4× 38 0.9× 21 0.6× 9 644
Xiaoyuan Yi China 3 538 1.3× 81 0.8× 159 3.6× 18 0.4× 25 0.7× 6 1.0k
Kaijie Zhu China 3 552 1.3× 87 0.9× 164 3.7× 18 0.4× 24 0.7× 4 1.1k
Cunxiang Wang China 4 628 1.5× 106 1.1× 165 3.8× 18 0.4× 25 0.7× 16 1.1k
Eduardo Mosqueira-Rey Spain 11 238 0.6× 58 0.6× 116 2.6× 12 0.3× 35 1.0× 31 669
Nicolò Navarin Italy 15 325 0.8× 105 1.1× 60 1.4× 19 0.5× 33 0.9× 73 581
Hao He China 9 241 0.6× 48 0.5× 77 1.8× 18 0.4× 25 0.7× 40 667

Countries citing papers authored by Luwei Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Luwei Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luwei Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Luwei Xiao. A scholar is included among the top collaborators of Luwei Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luwei Xiao. Luwei Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xiao, Luwei, et al.. (2026). Backdoor defense for large language models with weak-to-strong knowledge distillation. Pattern Recognition. 175. 113030–113030.
2.
Xiao, Luwei, et al.. (2025). Bidirectional Directed Acyclic Graph Neural Network for Aspect-level Sentiment Classification. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(4). 1–14.
3.
Xiao, Luwei, Rui Mao, Shuai Zhao, et al.. (2025). Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. IEEE Transactions on Affective Computing. 16(4). 3248–3265. 4 indexed citations
4.
Deng, Pan, et al.. (2025). Syntactic paraphrase-based synthetic data generation for backdoor attacks against Chinese language models. Information Fusion. 124. 103376–103376.
5.
Zhang, Sainan, et al.. (2025). MATADOR: Multimodal traffic accident prediction enhanced by multi-source aggregated emotion recognition. Information Fusion. 124. 103335–103335. 1 indexed citations
6.
Xiao, Luwei, et al.. (2024). Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis. Information Fusion. 106. 102304–102304. 35 indexed citations
7.
Zhao, Shuai, et al.. (2024). Clean-label backdoor attack and defense: An examination of language model vulnerability. Expert Systems with Applications. 265. 125856–125856. 1 indexed citations
8.
Yang, Shuwen, et al.. (2024). Simple contrastive learning in a self-supervised manner for robust visual question answering. Computer Vision and Image Understanding. 241. 103976–103976. 4 indexed citations
9.
10.
Xiao, Luwei, et al.. (2023). Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Information Processing & Management. 60(6). 103508–103508. 30 indexed citations
11.
Wu, Xingjiao, Luwei Xiao, Yingbin Zheng, et al.. (2023). Cross-domain document layout analysis using document style guide. Expert Systems with Applications. 245. 123039–123039. 2 indexed citations
12.
Wu, Xingjiao, Luwei Xiao, Yixuan Sun, et al.. (2022). A survey of human-in-the-loop for machine learning. Future Generation Computer Systems. 135. 364–381. 368 indexed citations breakdown →
13.
Xiao, Luwei, et al.. (2022). Aspect-Level Sentiment Analysis with Local Semantic and Global Syntactic Features Integration. International Journal of Pattern Recognition and Artificial Intelligence. 36(3). 1 indexed citations
14.
Xiao, Luwei, Xingjiao Wu, Wen Wu, Jing Yang, & Liang He. (2022). Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4578–4582. 22 indexed citations
15.
Xiao, Luwei, et al.. (2021). Targeted Aspect-Based Multimodal Sentiment Analysis: An Attention Capsule Extraction and Multi-Head Fusion Network. IEEE Access. 9. 157329–157336. 35 indexed citations
16.
17.
Xiao, Luwei, et al.. (2020). Multi-head self-attention based gated graph convolutional networks for aspect-based sentiment classification. Multimedia Tools and Applications. 81(14). 19051–19070. 22 indexed citations
18.
Zhu, Yongsheng, et al.. (2020). Electroencephalogram Access for Emotion Recognition Based on a Deep Hybrid Network. Frontiers in Human Neuroscience. 14. 589001–589001. 21 indexed citations
19.
Zhou, Wei‐Xing, et al.. (2018). Occlusion Face Detection Technology Based on Facial Physiology. 106–109. 4 indexed citations
20.
Xiao, Luwei, et al.. (2005). Analysis Of Composite Neuronal Waveforms Into Their Consituents. 1433–1434.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tarek R. Besold Breakdown of academic impact, for papers by Xingjiao Wu Breakdown of academic impact, for papers by Nina Dethlefs Breakdown of academic impact, for papers by Ilana Heintz Breakdown of academic impact, for papers by Xiaoyuan Yi Breakdown of academic impact, for papers by Kaijie Zhu Breakdown of academic impact, for papers by Cunxiang Wang Breakdown of academic impact, for papers by Eduardo Mosqueira-Rey Breakdown of academic impact, for papers by Nicolò Navarin Breakdown of academic impact, for papers by Hao He
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