Liu, X., Zhu, H.*(通讯作者) (2024). The diachronic change in linguistic positivity in the academic book reviewing of language studies: a text-mining analysis. Scientometrics. https://doi.org/10.1007/s11192-024-05208-8 (SSCI,第一作者为博士生)
Zhu, H., Wang, T., & Pang, N. (2024). Diachronic changes in lexical density of research article abstracts: A corpus-based study. Lingua. DOI: https://doi.org/10.1016/j.lingua.2024.103837 (SSCI/AHCI)
Pang, N., Sun, M. & Zhu, H.*(通讯作者) (2024). Representation of migrant workers in Chinese newspapers: combining topic modeling and critical discourse analysis. Digital Scholarship in the Humanities. https://doi.org/10.1093/llc/fqae062 (SSCI/AHCI)
Liu, X., Zhu, H.*(通讯作者) (2023). Linguistic positivity in soft and hard disciplines: Temporal dynamics, disciplinary variation, and the relationship with research impact. Scientometrics. https://doi.org/10.1007/s11192-023-04679-5 (SSCI,第一作者为博士生)
Zhu, H., Liu, X. (2023). Do linguistic features of research article titles affect received online attention? A corpus-based analysis. Library Hi Tech. https://doi.org/10.1108/LHT-01-2023-0022 (SSCI)
Zhu, H., Liu, X., & Pang, N. (2022). Investigating diachronic change in dependency distance of Modern English: A genre-specific perspective. Lingua. DOI: https://doi.org/10.1016/j.lingua.2022.103307 (SSCI/AHCI)
Pang, N., Sun, M. & Zhu, H.*(通讯作者) (2023). Louise or Ferdinand? Exploring the protagonists of Love and Intrigue using Social Network Analysis. Digital Scholarship in the Humanities. https://doi.org/10.1093/llc/fqad007 (SSCI/AHCI)
Liu, X., Zhu, H., & Lei, L. (2022). Dependency distance minimization: a diachronic exploration of the effects of sentence length and dependency types. HSSCMS. (SSCI/AHCI,第一作者为博士生)
Zhu, H., & Lei, L. (2022). The Research Trends of Text Classification Studies (2000-2020): A Bibliometric Analysis. Sage Open. (SSCI)
Zhu, H. (2021), Home country bias in academic publishing: A case study of the New England Journal of Medicine. Learned Publishing. DOI: https://doi.org/10.1002/leap.1404 (SSCI)(*Wiley年度高被引论文)
Zhu, H., & Lei, L. (2021), A dependency-based machine learning approach to the identification of research topics: a case in COVID-19 studies, Library Hi Tech, https://doi.org/10.1108/LHT-01-2021-0051 (SSCI)
Zhu, H., Lei, L. & Craig, H. (2020). Prose, Verse and Authorship in Dream of the Red Chamber: A Stylometric Analysis. Journal of Quantitative Linguistics. DOI: 10.1080/09296174.2020.1724677 (SSCI/AHCI)
Zhu, H., & Lei, L. (2018) Is Modern English Becoming Less Inflectionally Diversified? Evidence from an Entropy-based Algorithm. Lingua. 2018:216, 10-27. https://doi.org/10.1016/j.lingua.2018.10.006 (SSCI/AHCI)
Zhu, H., & Lei, L. (2018) British Cultural Complexity: An Entropy-based Approach. Journal of Quantitative Linguistics. 25:2, 190-205. (SSCI/AHCI)
Deng, Y., Zhu, H.* (通讯作者) (2023) Have media texts become more humorous? A diachronic analysis of the Corpus of Historical American English. The European Journal of Humour Research. (Scopus检索，第一作者为硕士生)
Zhu, H., & Lei, L.(2021) Review of Quantitative analysis of dependency structures. Journal of Linguistics. DOI: https://doi.org/ 10.1017/S0022226721000050 (SSCI/AHCI)
Zhu, H., & Lei, L. (2019) Style, Computers, and Early Modern Drama: Beyond Authorship. Australian Journal of Linguistics. 39:4, 539-542. (SSCI/AHCI)
Zhu, H., & Lei, L. (2018) Review of Motifs in Language and Text. Journal of Quantitative Linguistics. 25:3, 288-292. (SSCI/AHCI)
Pang, N., Sun, M. & Zhu, H.*(通讯作者) (2024). Diachronic Analysis of the Readability of German Newspaper Texts in the 20th Century. Muttersprache. (AHCI)
