Xinli Chi

3.5k total citations · 1 hit paper
91 papers, 2.0k citations indexed

About

Xinli Chi is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Xinli Chi has authored 91 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Clinical Psychology, 23 papers in Experimental and Cognitive Psychology and 20 papers in Sociology and Political Science. Recurrent topics in Xinli Chi's work include COVID-19 and Mental Health (19 papers), Child and Adolescent Psychosocial and Emotional Development (17 papers) and Impact of Technology on Adolescents (14 papers). Xinli Chi is often cited by papers focused on COVID-19 and Mental Health (19 papers), Child and Adolescent Psychosocial and Emotional Development (17 papers) and Impact of Technology on Adolescents (14 papers). Xinli Chi collaborates with scholars based in China, Hong Kong and Australia. Xinli Chi's co-authors include Kaixin Liang, Sitong Chen, Peichao Zhang, Liuyue Huang, Xiaochen Chen, Diyang Qu, Tianyou Guo, Liye Zou, Shiyun Chen and Sam Winter and has published in prestigious journals such as Computers in Human Behavior, Personality and Individual Differences and Nutrients.

In The Last Decade

Xinli Chi

87 papers receiving 1.9k citations

Hit Papers

Psychometric Properties of the Generalized Anxiety Disord... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinli Chi China 22 1.1k 586 401 385 369 91 2.0k
Tamika C. B. Zapolski United States 22 1.3k 1.2× 510 0.9× 364 0.9× 148 0.4× 286 0.8× 88 2.1k
Chung‐Ping Cheng Taiwan 25 745 0.7× 564 1.0× 364 0.9× 407 1.1× 363 1.0× 72 2.0k
Jordan P. Davis United States 26 1.0k 1.0× 530 0.9× 224 0.6× 212 0.6× 580 1.6× 158 2.3k
Jeremy W. Luk United States 25 1.0k 1.0× 706 1.2× 259 0.6× 607 1.6× 995 2.7× 91 2.5k
Inese Gobiņa Latvia 20 501 0.5× 401 0.7× 285 0.7× 372 1.0× 326 0.9× 51 1.8k
Mireia Orgilés Spain 24 1.8k 1.7× 370 0.6× 522 1.3× 629 1.6× 537 1.5× 201 2.8k
Rachel Eirich Canada 16 2.3k 2.1× 690 1.2× 350 0.9× 685 1.8× 534 1.4× 25 3.3k
Michael J. Cleveland United States 26 916 0.9× 827 1.4× 271 0.7× 414 1.1× 242 0.7× 84 2.6k
Natacha Carragher Australia 29 1.6k 1.5× 616 1.1× 755 1.9× 278 0.7× 464 1.3× 74 2.8k
Tânia Gaspar Portugal 24 966 0.9× 303 0.5× 370 0.9× 308 0.8× 489 1.3× 159 2.4k

Countries citing papers authored by Xinli Chi

Since Specialization
Citations

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

Fields of papers citing papers by Xinli Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinli Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Xinli Chi. A scholar is included among the top collaborators of Xinli Chi 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 Xinli Chi. Xinli Chi 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
2.
Wu, Chengrui, et al.. (2024). Network analysis of relationships between depressive symptoms and stressful life events in Chinese vocational school students. Personality and Individual Differences. 229. 112764–112764. 2 indexed citations
5.
6.
Zhang, Yao, et al.. (2024). Associations of 24-hour movement guidelines adherence with fruit and vegetable intake in university students. PeerJ. 12. e17875–e17875. 1 indexed citations
7.
Pan, Ling, et al.. (2024). Parental marital Relationship and depressive symptoms in adolescent boys and girls: The role of self-compassion and school connectedness. Current Psychology. 43(18). 16377–16388. 3 indexed citations
8.
Liang, Kaixin, Sitong Chen, & Xinli Chi. (2023). Differential Associations Between Meeting 24-Hour Movement Guidelines With Mental Wellbeing and Mental Illness Among Chinese Adolescents. Journal of Adolescent Health. 72(5). 658–666. 22 indexed citations
9.
Chen, Shiyun, et al.. (2023). Changes in the network association of Internet addiction among heterogeneous high-risk adolescents. Acta Psychologica Sinica. 55(9). 1465–1465. 8 indexed citations
10.
Huang, Liuyue, et al.. (2023). Changes in the networks of complex posttraumatic stress disorder symptoms among Chinese college students with childhood trauma.. Psychological Trauma Theory Research Practice and Policy. 16(8). 1281–1289. 2 indexed citations
11.
Yang, Hongying, et al.. (2023). Associations of sport participation with subjective well-being: a study consisting of a sample of Chinese school-attending students. Frontiers in Public Health. 11. 1199782–1199782. 14 indexed citations
12.
Huang, Liuyue, et al.. (2022). Validation of the Chinese Version of Self-Compassion Scale for Youth (SCS-Y). Mindfulness. 13(12). 3166–3178. 14 indexed citations
13.
Liang, Kaixin, et al.. (2022). The Association of Social Emotions, Perceived Efficiency, Transparency of the Government, Concerns about COVID-19, and Confidence in Fighting the Pandemic under the Week-Long Lockdown in Shenzhen, China. International Journal of Environmental Research and Public Health. 19(18). 11173–11173. 4 indexed citations
14.
Xie, Sha, et al.. (2022). Enhancing Chinese preschoolers’ executive function via mindfulness training: An fNIRS study. Frontiers in Behavioral Neuroscience. 16. 961797–961797. 8 indexed citations
15.
Guo, Tianyou, Liuyue Huang, Daniel L. Hall, et al.. (2021). The relationship between childhood adversities and complex posttraumatic stress symptoms: a multiple mediation model. European journal of psychotraumatology. 12(1). 1936921–1936921. 18 indexed citations
16.
Chi, Xinli, Shiyun Chen, Yuying Chen, et al.. (2021). Psychometric Evaluation of the Fear of COVID-19 Scale Among Chinese Population. International Journal of Mental Health and Addiction. 20(2). 1273–1288. 88 indexed citations
17.
Chi, Xinli, Liuyue Huang, Daniel L. Hall, et al.. (2021). Posttraumatic Stress Symptoms Among Chinese College Students During the COVID-19 Pandemic: A Longitudinal Study. Frontiers in Public Health. 9. 759379–759379. 10 indexed citations
18.
Bu, He, Liuyue Huang, Kaixin Liang, et al.. (2021). Optimal movement behaviors: correlates and associations with anxiety symptoms among Chinese university students. BMC Public Health. 21(1). 2052–2052. 19 indexed citations
19.
Shek, Daniel T. L., Lu Yu, & Xinli Chi. (2016). Focus group evaluation of teachers’ views on a new general education program in Hong Kong. International Journal of Adolescent Medicine and Health. 29(1). 67–74. 2 indexed citations
20.
Chi, Xinli, Daphne van de Bongardt, & Skyler T. Hawk. (2014). Intrapersonal and Interpersonal Sexual Behaviors of Chinese University Students: Gender Differences in Prevalence and Correlates. The Journal of Sex Research. 52(5). 532–542. 16 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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