Liangjun Yu

529 total citations
10 papers, 390 citations indexed

About

Liangjun Yu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Liangjun Yu has authored 10 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Information Systems. Recurrent topics in Liangjun Yu's work include Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (8 papers) and Data Mining Algorithms and Applications (6 papers). Liangjun Yu is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Rough Sets and Fuzzy Logic (8 papers) and Data Mining Algorithms and Applications (6 papers). Liangjun Yu collaborates with scholars based in China. Liangjun Yu's co-authors include Liangxiao Jiang, Dianhong Wang, Lungan Zhang, Huan Zhang, Wenqiang Xu and Yu Chen and has published in prestigious journals such as IEEE Access, Pattern Recognition and Information Sciences.

In The Last Decade

Liangjun Yu

10 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liangjun Yu China	8	278	102	56	53	31	10	390
Péricles Miranda Brazil	13	295 1.1×	62 0.6×	88 1.6×	56 1.1×	27 0.9×	70	504
Hanane Ezzikouri Morocco	6	204 0.7×	108 1.1×	18 0.3×	24 0.5×	11 0.4×	9	366
Jie Wen China	10	364 1.3×	114 1.1×	23 0.4×	47 0.9×	21 0.7×	28	557
Adán José-García France	8	209 0.8×	49 0.5×	41 0.7×	59 1.1×	22 0.7×	16	348
T. V. Geetha India	9	151 0.5×	89 0.9×	78 1.4×	59 1.1×	8 0.3×	38	392
A. Merbouha Morocco	5	136 0.5×	89 0.9×	17 0.3×	38 0.7×	9 0.3×	8	320
Georgios Kostopoulos Greece	14	254 0.9×	72 0.7×	17 0.3×	44 0.8×	26 0.8×	23	573
Longfei Li China	9	323 1.2×	99 1.0×	15 0.3×	70 1.3×	16 0.5×	28	432
Iván López-Arévalo Mexico	10	305 1.1×	123 1.2×	11 0.2×	47 0.9×	18 0.6×	54	487
Aravind Cheruvu Jordan	12	187 0.7×	161 1.6×	39 0.7×	35 0.7×	15 0.5×	15	369

Countries citing papers authored by Liangjun Yu

Since Specialization

Citations

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

Fields of papers citing papers by Liangjun Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangjun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Liangjun Yu. A scholar is included among the top collaborators of Liangjun Yu 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 Liangjun Yu. Liangjun Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Yu, Liangjun, et al.. (2021). A Novel Hybrid Approach: Instance Weighted Hidden Naive Bayes. Mathematics. 9(22). 2982–2982. 5 indexed citations

2.

Yu, Liangjun, et al.. (2021). Adapting Hidden Naive Bayes for Text Classification. Mathematics. 9(19). 2378–2378. 11 indexed citations

3.

Yu, Liangjun, et al.. (2020). Correlation-Based Weight Adjusted Naive Bayes. IEEE Access. 8. 51377–51387. 18 indexed citations

4.

Zhang, Huan, Liangxiao Jiang, & Liangjun Yu. (2020). Attribute and instance weighted naive Bayes. Pattern Recognition. 111. 107674–107674. 72 indexed citations

5.

Zhang, Huan, Liangxiao Jiang, & Liangjun Yu. (2019). Class-specific attribute value weighting for Naive Bayes. Information Sciences. 508. 260–274. 66 indexed citations

6.

Yu, Liangjun, Liangxiao Jiang, Lungan Zhang, & Dianhong Wang. (2018). Weight Adjusted Naive Bayes. 7. 825–831. 1 indexed citations

7.

Yu, Liangjun, Liangxiao Jiang, Dianhong Wang, & Lungan Zhang. (2018). Toward naive Bayes with attribute value weighting. Neural Computing and Applications. 31(10). 5699–5713. 15 indexed citations

8.

Jiang, Liangxiao, Lungan Zhang, Liangjun Yu, & Dianhong Wang. (2018). Class-specific attribute weighted naive Bayes. Pattern Recognition. 88. 321–330. 153 indexed citations

9.

Xu, Wenqiang, Liangxiao Jiang, & Liangjun Yu. (2018). An attribute value frequency-based instance weighting filter for naive Bayes. Journal of Experimental & Theoretical Artificial Intelligence. 31(2). 225–236. 26 indexed citations

10.

Yu, Liangjun, Liangxiao Jiang, Dianhong Wang, & Lungan Zhang. (2017). Attribute Value Weighted Average of One-Dependence Estimators. Entropy. 19(9). 501–501. 23 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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