Xiaoming Liu

77 total papers · 888 total citations
38 papers, 555 citations indexed

About

Xiaoming Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Xiaoming Liu has authored 38 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Xiaoming Liu's work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Transportation Planning and Optimization (5 papers). Xiaoming Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Transportation Planning and Optimization (5 papers). Xiaoming Liu collaborates with scholars based in China, United States and United Kingdom. Xiaoming Liu's co-authors include Luan Tran, Rong Jin, Jiayu Zhou, Mao Ye, Bilal Alsallakh, Amin Jourabloo, Liu Ren, Gianfranco Doretto, Hao Wu and Tsuhan Chen and has published in prestigious journals such as IEEE Access, Sensors and Frontiers in Psychology.

In The Last Decade

Xiaoming Liu

37 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Xiaoming Liu	259	247	50	49	29	38	555
Zhiguang Zhou	321 1.2×	171 0.7×	91 1.8×	28 0.6×	28 1.0×	45	613
Zenon Kulpa	207 0.8×	116 0.5×	50 1.0×	55 1.1×	26 0.9×	32	519
Zhongmin Liu	163 0.6×	123 0.5×	33 0.7×	54 1.1×	42 1.4×	33	555
Aznul Qalid Md Sabri	171 0.7×	251 1.0×	57 1.1×	33 0.7×	38 1.3×	44	682
Chen-Lin Zhang	286 1.1×	258 1.0×	52 1.0×	34 0.7×	19 0.7×	20	595
Jiang Wu	337 1.3×	130 0.5×	37 0.7×	42 0.9×	42 1.4×	59	656
Carmen Bisogni	375 1.4×	162 0.7×	75 1.5×	116 2.4×	16 0.6×	40	603
Seok‐Lyong Lee	297 1.1×	152 0.6×	126 2.5×	34 0.7×	16 0.6×	48	580
Fanyang Meng	320 1.2×	286 1.2×	74 1.5×	77 1.6×	23 0.8×	56	640
Rui Zhao	389 1.5×	133 0.5×	35 0.7×	130 2.7×	27 0.9×	43	674

Countries citing papers authored by Xiaoming Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoming Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Liu

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