Haibo Yu

94 total papers · 1.3k total citations
68 papers, 816 citations indexed

About

Haibo Yu is a scholar working on Complementary and alternative medicine, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Haibo Yu has authored 68 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Complementary and alternative medicine, 15 papers in Cognitive Neuroscience and 15 papers in Psychiatry and Mental health. Recurrent topics in Haibo Yu's work include Acupuncture Treatment Research Studies (28 papers), Traditional Chinese Medicine Studies (11 papers) and Psychosomatic Disorders and Their Treatments (9 papers). Haibo Yu is often cited by papers focused on Acupuncture Treatment Research Studies (28 papers), Traditional Chinese Medicine Studies (11 papers) and Psychosomatic Disorders and Their Treatments (9 papers). Haibo Yu collaborates with scholars based in China, Hong Kong and South Korea. Haibo Yu's co-authors include Jinhuan Zhang, Xingxian Huang, Yongfeng Liu, Jinping Xu, Qingmao Hu, Jinping Xu, Yumei Zhou, Jiaying Li, Li‐Yu Hu and Chen Chen and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Psychology and Behavioural Brain Research.

In The Last Decade

Haibo Yu

62 papers receiving 789 citations

Author Peers

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

Author Last Decade Papers Cites
Haibo Yu 191 165 119 117 80 68 816
Dongling Zhong 211 1.1× 85 0.5× 133 1.1× 89 0.8× 106 1.3× 55 957
Andrew P. Lavender 118 0.6× 131 0.8× 62 0.5× 58 0.5× 105 1.3× 46 941
Tao Yin 229 1.2× 170 1.0× 200 1.7× 41 0.4× 66 0.8× 58 706
S. Mazza 114 0.6× 197 1.2× 308 2.6× 169 1.4× 157 2.0× 38 966
Barbara Shay 118 0.6× 120 0.7× 259 2.2× 48 0.4× 84 1.1× 31 981
Wei-Dong Shen 179 0.9× 84 0.5× 216 1.8× 63 0.5× 52 0.7× 48 786
Shengxiang Liang 161 0.8× 217 1.3× 121 1.0× 80 0.7× 202 2.5× 74 919
T. Thomaides 61 0.3× 70 0.4× 150 1.3× 223 1.9× 131 1.6× 45 837
Xin Gao 51 0.3× 324 2.0× 107 0.9× 41 0.4× 90 1.1× 54 955
Stéphane Delliaux 167 0.9× 63 0.4× 254 2.1× 77 0.7× 169 2.1× 54 1.0k

Countries citing papers authored by Haibo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Yu. A scholar is included among the top collaborators of Haibo Yu 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 Haibo Yu. Haibo Yu 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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2026