Ruizhi Sun

110 total papers · 901 total citations
69 papers, 597 citations indexed

About

Ruizhi Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ruizhi Sun has authored 69 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 16 papers in Computer Networks and Communications. Recurrent topics in Ruizhi Sun's work include Anomaly Detection Techniques and Applications (19 papers), Network Security and Intrusion Detection (9 papers) and Imbalanced Data Classification Techniques (8 papers). Ruizhi Sun is often cited by papers focused on Anomaly Detection Techniques and Applications (19 papers), Network Security and Intrusion Detection (9 papers) and Imbalanced Data Classification Techniques (8 papers). Ruizhi Sun collaborates with scholars based in China, New Zealand and Japan. Ruizhi Sun's co-authors include Gang Yuan, Saihua Cai, Li Li, Zeqiu Chen, Sicong Li, Qianqian Zhang, Guoqing Shi, Li Li, Li Li and Miao Wang and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Applied Soft Computing.

In The Last Decade

Ruizhi Sun

65 papers receiving 575 citations

Author Peers

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

Author						Papers	Cites
Ruizhi Sun	265	137	103	56	55	69	597
Paulo Martins Engel	206 0.8×	165 1.2×	60 0.6×	83 1.5×	32 0.6×	52	498
Gang Liu	194 0.7×	66 0.5×	129 1.3×	50 0.9×	39 0.7×	58	559
Walter D. Potter	171 0.6×	103 0.8×	97 0.9×	26 0.5×	47 0.9×	46	525
Amir Pourabdollah	252 1.0×	159 1.2×	73 0.7×	42 0.8×	64 1.2×	59	583
G. Maragatham	162 0.6×	105 0.8×	49 0.5×	39 0.7×	28 0.5×	39	598
Jie Zhao	289 1.1×	67 0.5×	75 0.7×	75 1.3×	66 1.2×	58	621
Xiaoguang Gao	294 1.1×	161 1.2×	102 1.0×	111 2.0×	37 0.7×	93	626
Talari Ganesh	425 1.6×	97 0.7×	49 0.5×	66 1.2×	32 0.6×	37	682
Hong Li	368 1.4×	68 0.5×	89 0.9×	97 1.7×	44 0.8×	66	688
Qi Liu	217 0.8×	93 0.7×	32 0.3×	63 1.1×	35 0.6×	36	645

Countries citing papers authored by Ruizhi Sun

Since Specialization

Citations

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

Fields of papers citing papers by Ruizhi Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhi Sun

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