Chanyu Hao

446 total citations
8 papers, 300 citations indexed

About

Chanyu Hao is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Strategy and Management. According to data from OpenAlex, Chanyu Hao has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organizational Behavior and Human Resource Management, 3 papers in Social Psychology and 2 papers in Strategy and Management. Recurrent topics in Chanyu Hao's work include Job Satisfaction and Organizational Behavior (5 papers), Management and Organizational Studies (2 papers) and Team Dynamics and Performance (2 papers). Chanyu Hao is often cited by papers focused on Job Satisfaction and Organizational Behavior (5 papers), Management and Organizational Studies (2 papers) and Team Dynamics and Performance (2 papers). Chanyu Hao collaborates with scholars based in United States, South Korea and United Kingdom. Chanyu Hao's co-authors include Shelley D. Dionne, Hiroki Sayama, Andra Serban, Francis J. Yammarino, Kristin Lee Sotak, Alka Gupta, Dong Ha Kim, David R. Peterson, Tamara L. Friedrich and Surinder S. Kahai and has published in prestigious journals such as Journal of Organizational Behavior, The Leadership Quarterly and Organizational Research Methods.

In The Last Decade

Chanyu Hao

7 papers receiving 281 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chanyu Hao United States	6	142	110	64	49	42	8	300
Paulo Renato Lourenço Portugal	13	145 1.0×	161 1.5×	100 1.6×	49 1.0×	45 1.1×	45	411
Tiffani R. Chen United States	3	193 1.4×	170 1.5×	59 0.9×	66 1.3×	35 0.8×	4	366
Mikhail A. Wolfson United States	9	130 0.9×	107 1.0×	49 0.8×	47 1.0×	18 0.4×	11	307
Monique Alexandria Alvarez Domingo United States	3	94 0.7×	176 1.6×	44 0.7×	40 0.8×	42 1.0×	4	292
Naina Gupta Singapore	7	76 0.5×	183 1.7×	35 0.5×	56 1.1×	44 1.0×	10	294
Jensine Paoletti United States	6	47 0.3×	132 1.2×	37 0.6×	44 0.9×	18 0.4×	14	264
K. B. Akhilesh India	8	53 0.4×	96 0.9×	50 0.8×	29 0.6×	16 0.4×	22	254
C.M.J.H. Savelsbergh Netherlands	6	125 0.9×	144 1.3×	94 1.5×	22 0.4×	139 3.3×	10	339
Susan P. Hocevar United States	8	121 0.9×	58 0.5×	51 0.8×	50 1.0×	48 1.1×	28	298
R. Krishnaveni India	8	64 0.5×	57 0.5×	36 0.6×	27 0.6×	9 0.2×	46	267

Countries citing papers authored by Chanyu Hao

Since Specialization

Citations

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

Fields of papers citing papers by Chanyu Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chanyu Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Chanyu Hao. A scholar is included among the top collaborators of Chanyu Hao 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 Chanyu Hao. Chanyu Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Eckardt, Rory, Chou‐Yu Tsai, Shelley D. Dionne, et al.. (2020). Human capital resource emergence and leadership. Journal of Organizational Behavior. 42(2). 269–295. 14 indexed citations

2.

Serban, Andra, et al.. (2018). Assassination of political leaders: The role of social conflict. The Leadership Quarterly. 29(4). 457–475. 5 indexed citations

3.

Eckardt, Rory, Shelley D. Dionne, Chou‐Yu Tsai, et al.. (2017). Human Capital Resource Emergence and Leadership. Academy of Management Proceedings. 2017(1). 14649–14649. 1 indexed citations

4.

Serban, Andra, Francis J. Yammarino, Shelley D. Dionne, et al.. (2015). Leadership emergence in face-to-face and virtual teams: A multi-level model with agent-based simulations, quasi-experimental and experimental tests. The Leadership Quarterly. 26(3). 402–418. 63 indexed citations

5.

Dionne, Shelley D., Alka Gupta, Kristin Lee Sotak, et al.. (2013). A 25-year perspective on levels of analysis in leadership research. The Leadership Quarterly. 25(1). 6–35. 88 indexed citations

6.

Dionne, Shelley D., Alka Gupta, Hiroki Sayama, et al.. (2012). Retrospective Relatedness Reconstruction. Organizational Research Methods. 15(4). 663–692. 8 indexed citations

7.

Dionne, Shelley D., Jae Uk Chun, Chanyu Hao, et al.. (2012). Article quality and publication impact via levels of analysis incorporation: An illustration with transformational/charismatic leadership. The Leadership Quarterly. 23(6). 1012–1042. 19 indexed citations

8.

Dionne, Shelley D., et al.. (2010). The role of leadership in shared mental model convergence and team performance improvement: An agent-based computational model. The Leadership Quarterly. 21(6). 1035–1049. 102 indexed citations

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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