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Analyzing linguistic complexity and scientific impact

Citations

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Cited by:

  1. Nhu Le Quynh Nguy & Hung Tan Ha, 2022. "Lexical Profile of Academic Written English Revisited: What Does it Take to Understand Scholarly Abstracts?," SAGE Open, , vol. 12(3), pages 21582440221, September.
  2. Charles J. Gomez & Andrew C. Herman & Paolo Parigi, 2022. "Leading countries in global science increasingly receive more citations than other countries doing similar research," Nature Human Behaviour, Nature, vol. 6(7), pages 919-929, July.
  3. Fan Pan & Yiying Yang, 2025. "Diachronic change in lexical complexity of research articles (1970–2020): economics vs. medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(3), pages 1789-1812, March.
  4. Jihua Dong & Mengmeng Zhang & Nana Pang, 2026. "Syntactic complexity variations in research article abstracts: A diachronic cross-disciplinary investigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 131(1), pages 1-30, January.
  5. Xu, Zhenzhen & Huang, Shengzhi & Zhang, Fan & Lu, Wei & Huang, Yong & Lu, Na, 2025. "Quantifying the disruptiveness of a paper by analyzing how it overshadows its successors," Journal of Informetrics, Elsevier, vol. 19(3).
  6. Kun Sun & Haitao Liu & Wenxin Xiong, 2021. "The evolutionary pattern of language in scientific writings: A case study of Philosophical Transactions of Royal Society (1665–1869)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1695-1724, February.
  7. Michael Park & Erin Leahey & Russell Funk, 2021. "The decline of disruptive science and technology," Papers 2106.11184, arXiv.org, revised Jul 2022.
  8. Gui Wang & Hui Wang & Xinyi Sun & Nan Wang & Li Wang, 2023. "Linguistic complexity in scientific writing: A large-scale diachronic study from 1821 to 1920," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 441-460, January.
  9. Deng, Hongzhong & Wu, Chengxing & Ge, Bingfeng & Wu, Hongqian, 2025. "Quantification and identification of authorial writing style through higher-order text network modeling and analysis," Journal of Informetrics, Elsevier, vol. 19(1).
  10. Vital, Adilson & Silva, Filipi N. & Oliveira, Osvaldo N. & Amancio, Diego R., 2025. "Predicting citation impact of research papers using GPT and other text embeddings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 674(C).
  11. Ante, Lennart, 2022. "The relationship between readability and scientific impact: Evidence from emerging technology discourses," Journal of Informetrics, Elsevier, vol. 16(1).
  12. Meng, Kai & Koh, Chungwon & Zheng, Zhejun & Ba, Zhichao & Song, Min, 2025. "Impact of rhetorical devices on citation behavior: persuasion in scientific papers and its effect on reader response," Journal of Informetrics, Elsevier, vol. 19(4).
  13. Tohalino, Jorge A.V. & Amancio, Diego R., 2022. "On predicting research grants productivity via machine learning," Journal of Informetrics, Elsevier, vol. 16(2).
  14. Joost Winter, 2024. "Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(4), pages 2469-2487, April.
  15. Brito, Ana C.M. & Silva, Filipi N. & de Arruda, Henrique F. & Comin, Cesar H. & Amancio, Diego R. & Costa, Luciano da F., 2021. "Classification of abrupt changes along viewing profiles of scientific articles," Journal of Informetrics, Elsevier, vol. 15(2).
  16. Song, Ningyuan & Chen, Kejun & Zhao, Yuehua, 2023. "Understanding writing styles of scientific papers in the IS-LS domain: Evidence from abstracts over the past three decades," Journal of Informetrics, Elsevier, vol. 17(1).
  17. Bikun Chen & Dannan Deng & Zhouyan Zhong & Chengzhi Zhang, 2020. "Exploring linguistic characteristics of highly browsed and downloaded academic articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1769-1790, March.
  18. Diego Marino Fages, 2020. "Write better, publish better," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1671-1681, March.
  19. van den Besselaar, Peter & Mom, Charlie, 2022. "The effect of writing style on success in grant applications," Journal of Informetrics, Elsevier, vol. 16(1).
  20. Sun, Zhuanlan & He, Dongjin & Li, Yiwei, 2024. "How the readability of manuscript before journal submission advantages peer review process: Evidence from biomedical scientific publications," Journal of Informetrics, Elsevier, vol. 18(3).
  21. Guo Chen & Jing Chen & Yu Shao & Lu Xiao, 2023. "Automatic noise reduction of domain-specific bibliographic datasets using positive-unlabeled learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1187-1204, February.
  22. Porwal, Priya & Devare, Manoj H., 2024. "Scientific impact analysis: Unraveling the link between linguistic properties and citations," Journal of Informetrics, Elsevier, vol. 18(3).
  23. Don Watson & Manfred Krug & Claus-Christian Carbon, 2022. "The relationship between citations and the linguistic traits of specific academic discourse communities identified by using social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1755-1781, April.
  24. Tan Jin & Huiqiong Duan & Xiaofei Lu & Jing Ni & Kai Guo, 2021. "Do research articles with more readable abstracts receive higher online attention? Evidence from Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8471-8490, October.
  25. Amon, Julian & Hornik, Kurt, 2022. "Is it all bafflegab? – Linguistic and meta characteristics of research articles in prestigious economics journals," Journal of Informetrics, Elsevier, vol. 16(2).
  26. Xueying Liu & Haoran Zhu, 2023. "Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3107-3127, May.
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