Cited by 158International Student and Expatriate ChallengesRacial and Ethnic Identity ResearchCultural Differences and Values

Acculturation and Cross-Cultural Adaptation: The Moderating Role of Social Support

Open access
Ng, Ting Kin, Wang, Kitty Wan Ching, Chan, Wai·2017·International Journal of Intercultural Relations

Integrity signals

Registry

Crossref · 10.1016/j.ijintrel.2017.04.012

Cites

74 of 74 references verified0 citation errors · 0 not checkable

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1 of the 75 references couldn’t be matched to a known paper.

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Authors
Ng, T. K., Wang, K. W. C., & Chan, W.
Affiliations
  • University of Hong Kong (HK)
  • City University of Hong Kong (HK)
  • Lingnan University (HK)
Corresponding author
Ng, Ting Kin
Venue
International Journal of Intercultural Relations
Publisher
Elsevier BV
Published
2017-07
Volume
59
Pages
19-30
ISSN
0147-1767 (ISSN-L)
OpenAlex
W2613815408
Cited by
158
References
75
Citations by year
2026: 20 · 2025: 29 · 2024: 19 · 2023: 23 · 2022: 17 · 2021: 19 · 2020: 10 · 2019: 13 · 2018: 6 · 2017: 2
FWCI
18.34
Type
journal article
Language
en
Open access
Locations
  • International Journal of Intercultural Relations (publishedVersion)
  • Digital Commons - Lingnan (Lingnan University) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Communication › International Student and Expatriate Challenges
  • Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
  • Social Sciences › Psychology › Social Psychology › Cultural Differences and Values
Keywords
acculturation strategies, integration, marginalization, social support, cross-cultural adaptation (acculturation), moderating effect, mainland Chinese students, Hong Kong, family support, sociocultural adaptation, psychological adjustment

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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