王雅琴、陈衡.《句法计量分析》导读.外语教学与研究出版社，2025.
Wang, Y., & Kelih, E. (2025). Boundary Conditions of Menzerath-Altmann Law: Dynamics and the Language in the Line. Journal of Quantitative Linguistics, 1-27. https://doi.org/10.1080/09296174.2025.2544388
Chen, X., & Wang, Y. (eds.) (2025). Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest 2025). Association for Computational Linguistics, Ljubljana, Slovenia. ISBN: 979-8-89176-293-0. https://aclanthology.org/volumes/2025.quasy-1/
Wang, Y. (2025, August). A Quantitative Study of Syntactic Complexity across Genres: Dependency Distance in English and Chinese. In Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest 2025) (pp. 39-46). https://aclanthology.org/2025.quasy-1.6/
Wang, Y., & Kelih, E. (2024). Boundary conditions of the Menzerath-Altmann Law. What should be taken: Tokens, types or lemmas?. Glottometrics, 57, 1-20. https://glottometrics.iqla.org/wp-content/uploads/2025/01/57_2024.pdf#page=4
Wang, Y., Zhang, Y., Zhang, G., He, S., & Qi, J. (2024). Linguistic Properties of Emojis: A Quantitative Exploration of Emoji Frequency, Category, and Position on Twitter. Journal of Quantitative Linguistics, 1–27. https://doi.org/10.1080/09296174.2024.2347055
Wang, Y., & Zeng, T. (2023). Fellow or foe? A quantitative thematic exploration into Putin’s and Trump’s stylometric features. Glottometrics, 54, 39-57. https://doi.org/10.53482/2023_54_406
Niu, R., Wang, Y. & Liu, H. (2023). The Cross-linguistic Variations in Dependency Distance Minimization and its Potential Explanations. PACLIC 2023. Hong Kong, December 2–5, 2023. (Accepted)
王雅琴、刘海涛, (2023). 数据驱动的语体研究进展与前瞻.《现代外语》, 5:700-710.
Chen, H., & Wang, Y .* (2023) How does language evolve as a multi-level system? A quantitative exploration of written Chinese. Language Sciences, 98(4), 1-14. https://doi.org/10.1016/j.langsci.2023.101554
Wang, Y. & Chen, H.* (2022). The Menzerath-Altmann Law on the Clause Level in English Texts. Linguistics Vanguard. 8(1), 331-346. http://dx.doi.org/10.1515/lingvan-2022-0048
王雅琴. (2022). 基于依存距离概率分布的网络与传统语体对比研究. 《词汇与句法计量研究》. 杭州: 浙江大学出版社.
牛若晨、王雅琴. (2022). 两种依存方向的处理难度是一样的吗？——基于英语树库的计算认知研究. 《词汇与句法计量研究》. 杭州: 浙江大学出版社.
Wang, Y., & Liu, H*. (2022). Creativity complicates tweets: a quantitative lens on syntactic characteristics of twitter. Digital Scholarship in the Humanities, 37(1), 264-279. https://doi.org/10.1093/llc/fqab028
Niu, R., Wang, Y., & Liu, H. (2021). The properties of rare and complex syntactic constructions in English. A corpus-based comparative study. In Proceedings of the Second Workshop on Quantitative Syntax (Quasy, SyntaxFest 2021), pages 74–83, Sofia, Bulgaria. Association for Computational Linguistics.
Wang, Y.* (2021). Analysis of English text genre classification based on dependency types. In Pawłowski, A., Mačutek, J., Embleton, S., & Mikros, G. (eds). Language and Text: Data, models, information and applications, Amsterdam: John Benjamins, 257-269. http://dx.doi.org/10.1075/cilt.356.17wan
Jiang, Q., & Wang, Y.*(2021). Book Review of Corpus Stylistics: Theory and Practice: Corpus Stylistics: Theory and Practice, by Daniel McIntyre & Brian Walker, Journal of Quantitative Linguistics, https://doi.org/10.1080/09296174.2020.1866806
Wang, Y.* (2019). Preface. Glottometrics, 47.
刘海涛、王雅琴. (2019). 当代小说句式特征的计量研究——《繁花》与其他10部茅盾文学奖作品对比.《山西大学学报（哲学社会科学版）》第6期, 65-72. http://dx.doi.org/10.13451/j.cnki.shanxi.univ(phil.soc.).2019.06.009
Wang, Y*., & Yan, J. (2018). A quantitative analysis on a literary genre essay's syntactic features. In: Jiang, J., & Liu, H. (eds.). Quantitative Analysis of Dependency Structures, Berlin/Boston: De Gruyter, 295-314. http://dx.doi.org/10.1515/9783110573565-015
Wang, Y., & Liu, H.* (2018). Is Trump always rambling like a fourth-grade student? An analysis of stylistic features of Donald Trump’s political discourse during the 2016 election. Discourse & Society, 29(3), 299-323. http://dx.doi.org/10.1177/0957926517734659
Fang, Y., & Wang, Y*. (2018). Quantitative linguistic research of contemporary Chinese. Journal of Quantitative Linguistics, 25(2), 107-121. http://dx.doi.org/10.1080/09296174.2017.1352478
Wang, Y., & Liu, H.* (2018). In remembrance of Fengxiang Fan, 1950–2018. A pioneer of quantitative linguistics in China. Glottometrics, 43, 91-96.
Wang, Y.* (2017). Review of Sequences in Language and Text. Journal of Quantitative Linguistics, 24(2-3), 241-245. http://dx.doi.org/10.1080/09296174.2017.1290405
Wang, Y., & Liu, H.* (2017). The effects of genre on dependency distance and dependency direction. Language Sciences, 59, 135-147. http://dx.doi.org/10.1016/j.langsci.2016.09.006
Wang, Y.* (2017). Dependency distance distribution-from the perspective of genre variation. Comment on “Dependency distance: a new perspective on syntactic patterns in natural languages” by Haitao Liu et al. Physics of Life Reviews, 21, 226-227. http://dx.doi.org/10.1016/j.plrev.2017.06.012
Wang, Y.* (2017). Quantitative genre analysis using linguistic motifs. In: Liu, H., & Liang, J. (eds.). Motifs in Language and Text (Vol. 71), Berlin/Boston: De Gruyter, 165-180. http://dx.doi.org/10.1515/9783110476637-010
Fan, F.*, Yu, Y., & Wang, Y. (2016). The probability distribution of textual vocabulary in the English language. Journal of Quantitative Linguistics, 23(1), 49-70.
Fan, F.*, Wang, Y., & Gao, Z. (2014). Some macro quantitative features of low-frequency word classes. Glottometrics, 28, 1-12.
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