Shenkai Gu

503 total citations
8 papers, 376 citations indexed

About

Shenkai Gu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Shenkai Gu has authored 8 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Computational Theory and Mathematics. Recurrent topics in Shenkai Gu's work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Evolutionary Algorithms and Applications (2 papers). Shenkai Gu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Evolutionary Algorithms and Applications (2 papers). Shenkai Gu collaborates with scholars based in United Kingdom and China. Shenkai Gu's co-authors include Yaochu Jin, Ran Cheng, Li Cheng, Wangshu Liu, Xingya Wang, Qing Gu, Xiang Chen, Chaochao Li, Xiaojian Yang and Yinghao Zheng and has published in prestigious journals such as Neurocomputing, IEEE Sensors Journal and Soft Computing.

In The Last Decade

Shenkai Gu

8 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shenkai Gu United Kingdom	6	295	84	79	31	31	8	376
Ezgi Zorarpacı Türkiye	6	276 0.9×	65 0.8×	70 0.9×	30 1.0×	31 1.0×	10	371
Lucija Brezočnik Slovenia	4	229 0.8×	55 0.7×	47 0.6×	38 1.2×	28 0.9×	9	358
Yupeng Chen China	9	187 0.6×	96 1.1×	48 0.6×	33 1.1×	27 0.9×	13	331
Durga Prasad Muni India	5	287 1.0×	65 0.8×	68 0.9×	47 1.5×	23 0.7×	8	387
Abdelmonem M. Ibrahim Egypt	11	239 0.8×	47 0.6×	126 1.6×	17 0.5×	35 1.1×	15	348
Xiaodong Zhu China	7	187 0.6×	98 1.2×	41 0.5×	28 0.9×	20 0.6×	12	325
Mohammed Eshtay Jordan	9	262 0.9×	57 0.7×	49 0.6×	26 0.8×	24 0.8×	15	394
Liam Cervante China	5	236 0.8×	48 0.6×	117 1.5×	26 0.8×	25 0.8×	5	298
Sheng-Wei Tsai Taiwan	6	217 0.7×	63 0.8×	63 0.8×	41 1.3×	51 1.6×	7	322
Waleed Yamany Egypt	10	225 0.8×	48 0.6×	68 0.9×	12 0.4×	47 1.5×	11	330

Countries citing papers authored by Shenkai Gu

Since Specialization

Citations

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

Fields of papers citing papers by Shenkai Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenkai Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Shenkai Gu. A scholar is included among the top collaborators of Shenkai Gu 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 Shenkai Gu. Shenkai Gu 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:

8 of 8 papers shown

1.

Li, Cheng, Shenkai Gu, Yinghao Zheng, et al.. (2022). Pattern matching of alarm sequences by using an improved Smith-Waterman algorithm. 43. 106–106. 3 indexed citations

2.

Cheng, Li, et al.. (2022). A Novel Localization Approach for Irregular Wireless Sensor Networks Based on Anchor Segmentation. IEEE Sensors Journal. 22(7). 7267–7276. 6 indexed citations

3.

Liu, Wangshu, et al.. (2021). S² LMMD: Cross-Project Software Defect Prediction via Statement Semantic Learning and Maximum Mean Discrepancy. 369–379. 3 indexed citations

4.

Gu, Shenkai & Yaochu Jin. (2017). Multi-train: A semi-supervised heterogeneous ensemble classifier. Neurocomputing. 249. 202–211. 31 indexed citations

5.

Gu, Shenkai, Ran Cheng, & Yaochu Jin. (2016). Feature selection for high-dimensional classification using a competitive swarm optimizer. Soft Computing. 22(3). 811–822. 271 indexed citations

6.

Gu, Shenkai, Ran Cheng, & Yaochu Jin. (2015). Multi‐objective ensemble generation. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 5(5). 234–245. 28 indexed citations

7.

Gu, Shenkai & Yaochu Jin. (2014). Generating diverse and accurate classifier ensembles using multi-objective optimization. View. 9–15. 28 indexed citations

8.

Gu, Shenkai & Yaochu Jin. (2012). Heterogeneous classifier ensembles for EEG-based motor imaginary detection. View. 12. 1–8. 6 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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