Chengyang Han

631 total citations
27 papers, 389 citations indexed

About

Chengyang Han is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Marketing. According to data from OpenAlex, Chengyang Han has authored 27 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Experimental and Cognitive Psychology, 9 papers in Clinical Psychology and 9 papers in Marketing. Recurrent topics in Chengyang Han's work include Evolutionary Psychology and Human Behavior (22 papers), Consumer Behavior in Brand Consumption and Identification (9 papers) and Eating Disorders and Behaviors (5 papers). Chengyang Han is often cited by papers focused on Evolutionary Psychology and Human Behavior (22 papers), Consumer Behavior in Brand Consumption and Identification (9 papers) and Eating Disorders and Behaviors (5 papers). Chengyang Han collaborates with scholars based in China, United Kingdom and United States. Chengyang Han's co-authors include Benedict C. Jones, Lisa M. DeBruine, Amanda Hahn, Claire I. Fisher, Iris J. Holzleitner, Michal Kandrik, Vanessa Fasolt, Hongyi Wang, Anthony J. Lee and Anthony C. Little and has published in prestigious journals such as PLoS ONE, Psychological Science and Personality and Individual Differences.

In The Last Decade

Chengyang Han

24 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengyang Han China 10 286 113 99 83 61 27 389
Tobias L. Kordsmeyer Germany 11 278 1.0× 64 0.6× 61 0.6× 74 0.9× 85 1.4× 22 358
Sean N. Talamas United Kingdom 7 182 0.6× 99 0.9× 77 0.8× 56 0.7× 51 0.8× 9 309
Alexander K. Hill United States 8 297 1.0× 70 0.6× 74 0.7× 61 0.7× 92 1.5× 11 397
Jovana Vukovic United Kingdom 12 495 1.7× 113 1.0× 136 1.4× 65 0.8× 140 2.3× 13 584
Juan David Leongómez Colombia 11 191 0.7× 48 0.4× 72 0.7× 77 0.9× 57 0.9× 26 318
Jenny Porter United States 5 276 1.0× 46 0.4× 235 2.4× 44 0.5× 70 1.1× 7 356
Justin K. Mogilski United States 12 229 0.8× 167 1.5× 46 0.5× 157 1.9× 251 4.1× 27 434
Michal Kandrik United Kingdom 12 425 1.5× 156 1.4× 151 1.5× 142 1.7× 76 1.2× 23 542
Vivian Jenkins United States 5 252 0.9× 90 0.8× 117 1.2× 76 0.9× 48 0.8× 7 354
Kirill Fayn Australia 11 216 0.8× 69 0.6× 216 2.2× 180 2.2× 89 1.5× 17 502

Countries citing papers authored by Chengyang Han

Since Specialization
Citations

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

Fields of papers citing papers by Chengyang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyang Han

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

All Works

20 of 20 papers shown
1.
Han, Chengyang, et al.. (2025). Chemosensory Cues Modulate Women's Jealousy Responses to Vocal Femininity. Archives of Sexual Behavior. 54(3). 921–928.
2.
Wu, Yin, et al.. (2024). Is androstadienone a human male pheromone? More research is needed. Physiology & Behavior. 288. 114733–114733. 1 indexed citations
3.
Mehta, Pranjal H., et al.. (2023). Testosterone administration decreases sensitivity to angry facial expressions in healthy males: A computational modeling approach. Psychoneuroendocrinology. 161. 106948–106948. 2 indexed citations
4.
Xiao, Zeyu, et al.. (2023). Face Blindness in Children and Current Interventions. Behavioral Sciences. 13(8). 676–676. 1 indexed citations
5.
Chen, Shitao, Chengyang Han, Shuai Wang, et al.. (2022). Hearing the physical condition: The relationship between sexually dimorphic vocal traits and underlying physiology. Frontiers in Psychology. 13. 983688–983688. 4 indexed citations
6.
Han, Chengyang, et al.. (2021). Age differences in preferences for body physique. Personality and Individual Differences. 181. 111033–111033. 6 indexed citations
7.
Yü, Sheng, et al.. (2021). Task switching in old participants: A potential interplay between strategy and cognitive ability. Acta Psychologica. 214. 103253–103253. 3 indexed citations
8.
Han, Chengyang, et al.. (2021). The Autumn Years: Age Differences in Preferences for Sexually Dimorphic Faces. Archives of Sexual Behavior. 51(6). 2813–2821. 6 indexed citations
9.
Huang, Liang, et al.. (2021). Using relative-speed-of-processing to explain the shielding function of task rules. Quarterly Journal of Experimental Psychology. 75(11). 2177–2196.
10.
Han, Chengyang, et al.. (2020). Single dose testosterone administration increases men’s facial femininity preference in a Chinese population. Psychoneuroendocrinology. 115. 104630–104630. 8 indexed citations
11.
Han, Chengyang, et al.. (2020). Exogenous testosterone decreases men's sensitivity to vocal cues of male dominance. Hormones and Behavior. 127. 104871–104871. 4 indexed citations
12.
Huang, Liang, et al.. (2020). Time for a true display of skill: Top players in League of Legends have better executive control. Acta Psychologica. 204. 103007–103007. 36 indexed citations
13.
Hou, Juan, et al.. (2019). Facial Attractiveness of Chinese College Students With Different Sexual Orientation and Sex Roles. Frontiers in Human Neuroscience. 13. 132–132. 3 indexed citations
14.
Wang, Hongyi, Chengyang Han, Amanda Hahn, et al.. (2019). A data-driven study of Chinese participants' social judgments of Chinese faces. PLoS ONE. 14(1). e0210315–e0210315. 17 indexed citations
15.
Jones, Benedict C., Amanda Hahn, Claire I. Fisher, et al.. (2018). No Compelling Evidence that Preferences for Facial Masculinity Track Changes in Women’s Hormonal Status. Psychological Science. 29(6). 996–1005. 125 indexed citations
16.
Jones, Benedict C., Amanda Hahn, Claire I. Fisher, et al.. (2018). No compelling evidence that more physically attractive young adult women have higher estradiol or progesterone. Psychoneuroendocrinology. 98. 1–5. 23 indexed citations
17.
Han, Chengyang, Hongyi Wang, Vanessa Fasolt, et al.. (2018). No clear evidence for correlations between handgrip strength and sexually dimorphic acoustic properties of voices. American Journal of Human Biology. 30(6). e23178–e23178. 13 indexed citations
18.
Lei, Na, Hongyi Wang, Chengyang Han, Lisa M. DeBruine, & Benedict C. Jones. (2018). The Influence of Facial Femininity on Chinese and White UK Women’s Jealousy. Evolutionary Psychological Science. 5(1). 109–112. 4 indexed citations
19.
Kandrik, Michal, Amanda Hahn, Chengyang Han, et al.. (2017). Does the Interaction Between Cortisol and Testosterone Predict Men’s Facial Attractiveness?. Adaptive Human Behavior and Physiology. 3(4). 275–281. 12 indexed citations
20.
Han, Chengyang, Amanda Hahn, Claire I. Fisher, Lisa M. DeBruine, & Benedict C. Jones. (2015). Women's facial attractiveness is related to their body mass index but not their salivary cortisol. American Journal of Human Biology. 28(3). 352–355. 21 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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