Haibo Yu

80 total papers · 489 total citations
32 papers, 298 citations indexed

About

Haibo Yu is a scholar working on Organizational Behavior and Human Resource Management, Education and Social Psychology. According to data from OpenAlex, Haibo Yu has authored 32 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organizational Behavior and Human Resource Management, 10 papers in Education and 8 papers in Social Psychology. Recurrent topics in Haibo Yu's work include Job Satisfaction and Organizational Behavior (9 papers), Higher Education and Employability (9 papers) and Career Development and Diversity (6 papers). Haibo Yu is often cited by papers focused on Job Satisfaction and Organizational Behavior (9 papers), Higher Education and Employability (9 papers) and Career Development and Diversity (6 papers). Haibo Yu collaborates with scholars based in China, Australia and United States. Haibo Yu's co-authors include Xiaoming Zheng, Xiaoyu Guan, Zhi‐Jin Hou, Chao Ma, Jiangyu Li, Yafei Liu, Donghua Tian, Xi Zhang, Jing Guo and Weichun Zhu and has published in prestigious journals such as Journal of Cleaner Production, Frontiers in Psychology and Environmental Research Letters.

In The Last Decade

Haibo Yu

26 papers receiving 283 citations

Author Peers

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

Author						Papers	Cites
Haibo Yu	90	88	76	68	60	32	298
Rob Millar	112 1.2×	77 0.9×	71 0.9×	33 0.5×	87 1.4×	22	314
Jesús Tanguma	119 1.3×	63 0.7×	29 0.4×	39 0.6×	39 0.7×	25	340
Alexandra E. MacDougall	68 0.8×	44 0.5×	36 0.5×	60 0.9×	28 0.5×	27	296
Kerry B. Bernes	149 1.7×	112 1.3×	147 1.9×	23 0.3×	54 0.9×	33	361
Weiwei Wang	58 0.6×	92 1.0×	58 0.8×	26 0.4×	140 2.3×	26	292
Mauro de Oliveira Magalhães	113 1.3×	85 1.0×	115 1.5×	55 0.8×	50 0.8×	38	290
Arpita Ghosh	121 1.3×	107 1.2×	102 1.3×	30 0.4×	69 1.1×	28	292
E Camussi	68 0.8×	157 1.8×	83 1.1×	19 0.3×	66 1.1×	25	313
Joshua J. Prasad	99 1.1×	93 1.1×	77 1.0×	136 2.0×	30 0.5×	17	356
James D. Wiggins	78 0.9×	147 1.7×	88 1.2×	55 0.8×	83 1.4×	33	333

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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