Shaobin Huang

106 total papers · 523 total citations
65 papers, 302 citations indexed

About

Shaobin Huang is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Shaobin Huang has authored 65 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 17 papers in Information Systems and 10 papers in Computational Theory and Mathematics. Recurrent topics in Shaobin Huang's work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Data Management and Algorithms (6 papers). Shaobin Huang is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Data Management and Algorithms (6 papers). Shaobin Huang collaborates with scholars based in China, United States and Canada. Shaobin Huang's co-authors include Hui Yang, Liu Ye, Jihong Shen, Runzhang Xu, Xizhe Zhang, Weimin Zheng, Yange Yang, Jie Liu, Guofeng Liu and Peng Wang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Shaobin Huang

50 papers receiving 280 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shaobin Huang	152	41	41	39	30	65	302
Yatsuka Nakamura	53 0.3×	78 1.9×	11 0.3×	13 0.3×	41 1.4×	61	351
Christian Hirsch	30 0.2×	46 1.1×	23 0.6×	14 0.4×	31 1.0×	56	240
Khai T. Nguyen	80 0.5×	37 0.9×	29 0.7×	58 1.5×	21 0.7×	56	360
Fangfang Guo	71 0.5×	17 0.4×	26 0.6×	60 1.5×	8 0.3×	38	314
Liang Dai	56 0.4×	3 0.1×	39 1.0×	36 0.9×	22 0.7×	37	360
Philip Leonard	107 0.7×	47 1.1×	8 0.2×	2 0.1×	7 0.2×	47	363
Haifeng Li	149 1.0×	8 0.2×	137 3.3×	22 0.6×	7 0.2×	54	324
William Steingartner	97 0.6×	11 0.3×	92 2.2×	15 0.4×	5 0.2×	57	293
Chin-Tzong Pang	89 0.6×	29 0.7×	26 0.6×	74 1.9×	23 0.8×	45	331
Tobias Müller	38 0.3×	59 1.4×	13 0.3×	6 0.2×	32 1.1×	59	361

Countries citing papers authored by Shaobin Huang

Since Specialization

Citations

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

Fields of papers citing papers by Shaobin Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobin Huang

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

All Works

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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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