S TAN

9 total papers · 1.1k total citations
6 papers, 823 citations indexed

About

S TAN is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, S TAN has authored 6 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Molecular Biology. Recurrent topics in S TAN's work include Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (2 papers) and Spam and Phishing Detection (2 papers). S TAN is often cited by papers focused on Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (2 papers) and Spam and Phishing Detection (2 papers). S TAN collaborates with scholars based in China. S TAN's co-authors include Jianyun Zhang, Long Li and Tianlong Gu and has published in prestigious journals such as Expert Systems with Applications and IEEE Transactions on Industrial Informatics.

In The Last Decade

S TAN

6 papers receiving 755 citations

Author Peers

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

Author						Papers	Cites
S TAN	661	244	104	47	39	6	823
Lawrence Shih	490 0.7×	270 1.1×	79 0.8×	69 1.5×	22 0.6×	7	723
Xiaoyuan Yi	515 0.8×	153 0.6×	77 0.7×	39 0.8×	39 1.0×	6	961
Kaijie Zhu	530 0.8×	157 0.6×	83 0.8×	42 0.9×	34 0.9×	4	986
Ning Dai	685 1.0×	162 0.7×	149 1.4×	54 1.1×	39 1.0×	13	938
Nico Schlaefer	712 1.1×	193 0.8×	106 1.0×	79 1.7×	19 0.5×	7	911
Cunxiang Wang	605 0.9×	159 0.7×	102 1.0×	43 0.9×	34 0.9×	15	1.1k
Jiabao Guo	446 0.7×	137 0.6×	75 0.7×	39 0.8×	51 1.3×	9	824
Elior Sulem	595 0.9×	116 0.5×	84 0.8×	41 0.9×	29 0.7×	12	832
Hao Chen	527 0.8×	157 0.6×	81 0.8×	41 0.9×	42 1.1×	16	1.0k
Yuan Wu	511 0.8×	151 0.6×	82 0.8×	43 0.9×	35 0.9×	17	1.1k

Countries citing papers authored by S TAN

Since Specialization

Citations

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

Fields of papers citing papers by S TAN

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S TAN

This figure shows the co-authorship network connecting the top 25 collaborators of S TAN. A scholar is included among the top collaborators of S TAN 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 S TAN. S TAN 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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