Xiaohong Han

33 total papers · 1.2k total citations
28 papers, 909 citations indexed

About

Xiaohong Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaohong Han has authored 28 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaohong Han's work include Metaheuristic Optimization Algorithms Research (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Evolutionary Algorithms and Applications (5 papers). Xiaohong Han is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Evolutionary Algorithms and Applications (5 papers). Xiaohong Han collaborates with scholars based in China, Japan and United States. Xiaohong Han's co-authors include Xiaoming Chang, Xiaoyan Xiong, Jie Xiang, Long Quan, Kaiyuan Wang, Jun Chang, Junjie Chen, Rui Cao, Haifang Li and Conggai Li and has published in prestigious journals such as PLoS ONE, Information Sciences and Medical Physics.

In The Last Decade

Xiaohong Han

26 papers receiving 884 citations

Author Peers

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

Author						Papers	Cites
Xiaohong Han	378	219	186	113	84	28	909
Arpit Bhardwaj	351 0.9×	80 0.4×	236 1.3×	68 0.6×	83 1.0×	45	881
Hongyan Li	517 1.4×	92 0.4×	172 0.9×	89 0.8×	59 0.7×	57	994
Jan Hendrik Metzen	542 1.4×	296 1.4×	64 0.3×	79 0.7×	61 0.7×	30	939
Bharat Richhariya	537 1.4×	419 1.9×	155 0.8×	90 0.8×	47 0.6×	19	980
Baha Şen	218 0.6×	155 0.7×	365 2.0×	233 2.1×	112 1.3×	60	1.0k
J.C. Principe	319 0.8×	173 0.8×	174 0.9×	285 2.5×	21 0.3×	26	988
H. Hannah Inbarani	456 1.2×	206 0.9×	89 0.5×	73 0.6×	103 1.2×	49	996
Rafael Magdalena‐Benedito	367 1.0×	135 0.6×	72 0.4×	68 0.6×	32 0.4×	51	903
Bernardino Romera‐Paredes	317 0.8×	237 1.1×	87 0.5×	36 0.3×	106 1.3×	18	991
P. Karthigaikumar	279 0.7×	374 1.7×	136 0.7×	101 0.9×	77 0.9×	59	933

Countries citing papers authored by Xiaohong Han

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohong Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Han

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