Shenglei Chen

656 total citations · 1 hit paper
24 papers, 443 citations indexed

About

Shenglei Chen is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Shenglei Chen has authored 24 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computational Theory and Mathematics. Recurrent topics in Shenglei Chen's work include Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (4 papers) and Machine Learning and Data Classification (3 papers). Shenglei Chen is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (4 papers) and Machine Learning and Data Classification (3 papers). Shenglei Chen collaborates with scholars based in China, Australia and Canada. Shenglei Chen's co-authors include Geoffrey I. Webb, Linyuan Liu, Xin Ma, Limin Wang, Ana María Martínez, Minghui Sun, Nayyar A. Zaidi, Geng Chen, Haibin Zhu and Musa Mammadov and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Machine Learning Research and Knowledge-Based Systems.

In The Last Decade

Shenglei Chen

21 papers receiving 418 citations

Hit Papers

A novel selective naïve Bayes algorithm 2019 2026 2021 2023 2019 50 100 150 200 250
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 novel selective naïve Bayes algorithm
    2019 259 citations Shenglei Chen, Geoffrey I. Webb et al. Knowledge-Based 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
Shenglei Chen China 9 272 94 50 46 40 24 443
Alireza Farhangfar Canada 6 276 1.0× 139 1.5× 47 0.9× 42 0.9× 23 0.6× 8 478
Shawkat Ali Australia 9 298 1.1× 101 1.1× 26 0.5× 40 0.9× 64 1.6× 25 549
Guilin Qi China 13 333 1.2× 95 1.0× 45 0.9× 79 1.7× 34 0.8× 63 780
Nadim Obeid Jordan 14 400 1.5× 182 1.9× 31 0.6× 41 0.9× 51 1.3× 61 651
Xuewen Chen United States 8 357 1.3× 65 0.7× 31 0.6× 37 0.8× 29 0.7× 19 507
Bryar A. Hassan Iraq 11 239 0.9× 72 0.8× 24 0.5× 36 0.8× 60 1.5× 30 472
Yangguang Liu China 11 220 0.8× 52 0.6× 26 0.5× 32 0.7× 43 1.1× 52 468
Shikha Mehta India 13 233 0.9× 148 1.6× 32 0.6× 34 0.7× 148 3.7× 54 538
Tomáš Horváth Slovakia 14 271 1.0× 173 1.8× 41 0.8× 36 0.8× 41 1.0× 40 538
Gracia Sánchez Spain 11 282 1.0× 38 0.4× 50 1.0× 130 2.8× 26 0.7× 28 468

Countries citing papers authored by Shenglei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shenglei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shenglei Chen. A scholar is included among the top collaborators of Shenglei Chen 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 Shenglei Chen. Shenglei Chen 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.
Chen, Shenglei, et al.. (2024). Attribute Value Weighted Averaged One-Dependence Estimators with Kullback–Leibler Divergence. Journal of Circuits Systems and Computers. 34(1).
2.
Chen, Shenglei, et al.. (2024). Research on Model Selection-Based Weighted Averaged One-Dependence Estimators. Mathematics. 12(15). 2306–2306.
3.
Liu, Linyuan, Haibin Zhu, Shenglei Chen, & Zhiqiu Huang. (2022). Privacy-Aware Task Assignment for IoT Audit Applications on Collaborative Edge Devices. Security and Communication Networks. 2022. 1–15. 1 indexed citations
4.
Chen, Shenglei, Xin Ma, Linyuan Liu, & Limin Wang. (2022). Selective AnDE based on attributes ranking by Maximin Conditional Mutual Information (MMCMI). Journal of Experimental & Theoretical Artificial Intelligence. 35(1). 151–170. 1 indexed citations
5.
Chen, Shenglei, Zhonghui Zhang, & Linyuan Liu. (2021). Attribute Selecting in Tree-Augmented Naive Bayes by Cross Validation Risk Minimization. Mathematics. 9(20). 2564–2564. 8 indexed citations
6.
Wang, Limin, Peng Chen, Shenglei Chen, & Minghui Sun. (2021). A novel approach to fully representing the diversity in conditional dependencies for learning Bayesian network classifier. Intelligent Data Analysis. 25(1). 35–55. 7 indexed citations
7.
Zhou, Shiyong, et al.. (2020). Relationship between the slip distribution of the Lushan earthquake fault and the Wenchuan earthquake fault. 63(1). 210–222. 2 indexed citations
8.
Wang, Limin, et al.. (2020). Hierarchical Independence Thresholding for learning Bayesian network classifiers. Knowledge-Based Systems. 212. 106627–106627. 18 indexed citations
9.
Wang, Limin, et al.. (2020). Instance-based weighting filter for superparent one-dependence estimators. Knowledge-Based Systems. 203. 106085–106085. 25 indexed citations
10.
Chen, Shenglei, Geoffrey I. Webb, Linyuan Liu, & Xin Ma. (2019). A novel selective naïve Bayes algorithm. Knowledge-Based Systems. 192. 105361–105361. 259 indexed citations breakdown →
11.
Chen, Shenglei, et al.. (2018). Fault geometrical model of Dujiangyan section in Longmenshan fault zone. Earthquake Science. 31(3). 126–136.
12.
Chen, Shenglei, et al.. (2018). RANSAC-PSO算法的抗差反演——以芦山地震为例. 38(5). 454–458. 1 indexed citations
13.
Martínez, Ana María, Geoffrey I. Webb, Shenglei Chen, & Nayyar A. Zaidi. (2016). Scalable learning of Bayesian network classifiers. Journal of Machine Learning Research. 17(1). 1515–1549. 42 indexed citations
14.
Chen, Shenglei, Ana María Martínez, Geoffrey I. Webb, & Limin Wang. (2016). Sample-Based Attribute Selective A$n$ DE for Large Data. IEEE Transactions on Knowledge and Data Engineering. 29(1). 172–185. 21 indexed citations
15.
Chen, Shenglei, et al.. (2013). A Novel Spectral Clustering and its Application in Image Processing. Journal of Engineering Science and Technology Review. 6(3). 10–15. 1 indexed citations
16.
Chen, Shenglei, et al.. (2013). An Adaptive Spectral Clustering Algorithm for Image Clustering and Segmentation. Information Technology Journal. 12(22). 6763–6769. 1 indexed citations
17.
Chen, Shenglei, et al.. (2013). An efficient L2-norm regularized least-squares temporal difference learning algorithm. Knowledge-Based Systems. 45. 94–99. 13 indexed citations
18.
Wang, Jiacai, et al.. (2010). Affinity Propagation Clustering for Large Scale Dataset. Jisuanji gongcheng. 36(23). 22–24. 4 indexed citations
19.
Chen, Shenglei, et al.. (2008). Least-Squares SARSA(Lambda) Algorithms for Reinforcement Learning. 4. 632–636. 5 indexed citations
20.
Chen, Shenglei, et al.. (2005). Collaborative design environment based on multi-agent. 481–485 Vol. 1. 2 indexed citations

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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