Xiaochun Wang

146 total papers · 564 total citations
46 papers, 284 citations indexed

About

Xiaochun Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xiaochun Wang has authored 46 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Xiaochun Wang's work include Anomaly Detection Techniques and Applications (8 papers), Advanced Clustering Algorithms Research (6 papers) and Artificial Immune Systems Applications (6 papers). Xiaochun Wang is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Advanced Clustering Algorithms Research (6 papers) and Artificial Immune Systems Applications (6 papers). Xiaochun Wang collaborates with scholars based in China, United States and Macao. Xiaochun Wang's co-authors include D.M. Wilkes, Weiguo Wu, Mitch Wilkes, Dongxu Qi, Yuanchun Shi, Hongchao Jiang, Hongjun Li, Yanqun Wang, Yu Fang and Hong Guo and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Pattern Recognition Letters and Process Safety and Environmental Protection.

In The Last Decade

Xiaochun Wang

42 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
Xiaochun Wang	158	85	49	40	31	46	284
Cina Motamed	132 0.8×	151 1.8×	34 0.7×	37 0.9×	25 0.8×	53	301
He Li	94 0.6×	68 0.8×	31 0.6×	66 1.6×	49 1.6×	41	313
Yang Zhou	104 0.7×	141 1.7×	23 0.5×	37 0.9×	29 0.9×	40	287
J. Austin	124 0.8×	106 1.2×	52 1.1×	35 0.9×	13 0.4×	35	258
Dong Li	123 0.8×	98 1.2×	58 1.2×	109 2.7×	43 1.4×	28	321
Fangyuan Lei	97 0.6×	90 1.1×	16 0.3×	31 0.8×	17 0.5×	38	258
Hongyi Zhang	92 0.6×	86 1.0×	31 0.6×	32 0.8×	7 0.2×	48	238
Hanene Azzag	182 1.2×	85 1.0×	56 1.1×	27 0.7×	10 0.3×	22	257
Mohammed Nasser Al-Andoli	121 0.8×	33 0.4×	43 0.9×	82 2.0×	62 2.0×	32	313
Hai Huang	68 0.4×	81 1.0×	63 1.3×	64 1.6×	8 0.3×	39	271

Countries citing papers authored by Xiaochun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaochun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Wang

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