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Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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Cited by:

  1. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
  2. Ali Daud & Min Song & Malik Khizar Hayat & Tehmina Amjad & Rabeeh Ayaz Abbasi & Hassan Dawood & Anwar Ghani, 2020. "Finding rising stars in bibliometric networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 633-661, July.
  3. Iman Tahamtan & Lutz Bornmann, 2019. "What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1635-1684, December.
  4. Yang, Jinqing & Liu, Zhifeng, 2022. "The effect of citation behaviour on knowledge diffusion and intellectual structure," Journal of Informetrics, Elsevier, vol. 16(1).
  5. Frederique Bordignon, 2022. "Critical citations in knowledge construction and citation analysis: from paradox to definition," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 959-972, February.
  6. Marta Kuc-Czarnecka & Magdalena Olczyk, 2020. "How ethics combine with big data: a bibliometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
  7. Ali Daud & Muhammad Ahmad & M. S. I. Malik & Dunren Che, 2015. "Using machine learning techniques for rising star prediction in co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1687-1711, February.
  8. Chaker Jebari & Enrique Herrera-Viedma & Manuel Jesus Cobo, 2021. "The use of citation context to detect the evolution of research topics: a large-scale analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2971-2989, April.
  9. Chao Lu & Ying Ding & Chengzhi Zhang, 2017. "Understanding the impact change of a highly cited article: a content-based citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 927-945, August.
  10. Xiaorui Jiang & Jingqiang Chen, 2023. "Contextualised segment-wise citation function classification," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5117-5158, September.
  11. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
  12. Lin, Yiling & Evans, James A. & Wu, Lingfei, 2022. "New directions in science emerge from disconnection and discord," Journal of Informetrics, Elsevier, vol. 16(1).
  13. Kai Nishikawa, 2023. "How and why are citations between disciplines made? A citation context analysis focusing on natural sciences and social sciences and humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2975-2997, May.
  14. Li, Kai & Chen, Pei-Ying & Yan, Erjia, 2019. "Challenges of measuring software impact through citations: An examination of the lme4 R package," Journal of Informetrics, Elsevier, vol. 13(1), pages 449-461.
  15. Adilson Vital & Diego R. Amancio, 2022. "A comparative analysis of local similarity metrics and machine learning approaches: application to link prediction in author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6011-6028, October.
  16. Liu, Xiaojuan & Wang, Chenlin & Chen, Dar-Zen & Huang, Mu-Hsuan, 2022. "Exploring perception of retraction based on mentioned status in post-retraction citations," Journal of Informetrics, Elsevier, vol. 16(3).
  17. Shiyun Wang & Yaxue Ma & Jin Mao & Yun Bai & Zhentao Liang & Gang Li, 2023. "Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 150-167, February.
  18. Błoński Krzysztof, 2023. "Analysis of Citations and Co-Citations of the Term ‘Word of Mouth’ Based on Publications in the Field of Social Sciences," Marketing of Scientific and Research Organizations, Sciendo, vol. 28(2), pages 111-133, June.
  19. Hamid R. Jamali & Majid Nabavi & Saeid Asadi, 2018. "How video articles are cited, the case of JoVE: Journal of Visualized Experiments," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1821-1839, December.
  20. Shiyun Wang & Jin Mao & Yujie Cao & Gang Li, 2022. "Integrated knowledge content in an interdisciplinary field: identification, classification, and application," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6581-6614, November.
  21. Kim, Ha Jin & Jeong, Yoo Kyung & Song, Min, 2016. "Content- and proximity-based author co-citation analysis using citation sentences," Journal of Informetrics, Elsevier, vol. 10(4), pages 954-966.
  22. Lina Zhou & Uchechukwuka Amadi & Dongsong Zhang, 2020. "Is Self-Citation Biased? An Investigation via the Lens of Citation Polarity, Density, and Location," Information Systems Frontiers, Springer, vol. 22(1), pages 77-90, February.
  23. Witting Antje, 2015. "Measuring the Use of Knowledge in Policy Development," Central European Journal of Public Policy, Sciendo, vol. 9(2), pages 54-62, December.
  24. Ruhao Zhang & Junpeng Yuan, 2022. "Enhanced author bibliographic coupling analysis using semantic and syntactic citation information," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7681-7706, December.
  25. Jiang, Xiaorui & Zhuge, Hai, 2019. "Forward search path count as an alternative indirect citation impact indicator," Journal of Informetrics, Elsevier, vol. 13(4).
  26. Jeong, Yoo Kyung & Song, Min & Ding, Ying, 2014. "Content-based author co-citation analysis," Journal of Informetrics, Elsevier, vol. 8(1), pages 197-211.
  27. Wang, Shiyun & Mao, Jin & Lu, Kun & Cao, Yujie & Li, Gang, 2021. "Understanding interdisciplinary knowledge integration through citance analysis: A case study on eHealth," Journal of Informetrics, Elsevier, vol. 15(4).
  28. Wang, Xia & Weaver, David B. & Li, Xiang (Robert) & Zhang, Yingsha, 2016. "In Butler (1980) we trust? Typology of citer motivations," Annals of Tourism Research, Elsevier, vol. 61(C), pages 216-218.
  29. Hei-Chia Wang & Jen-Wei Cheng & Che-Tsung Yang, 2022. "SentCite: a sentence-level citation recommender based on the salient similarity among multiple segments," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2521-2546, May.
  30. Chen, Lixin, 2017. "Do patent citations indicate knowledge linkage? The evidence from text similarities between patents and their citations," Journal of Informetrics, Elsevier, vol. 11(1), pages 63-79.
  31. Tomohiko Sakao, 2019. "Research Series Review for Transdisciplinarity Assessment—Validation with Sustainable Consumption and Production Research," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
  32. Zhang, Chengzhi & Liu, Lifan & Wang, Yuzhuo, 2021. "Characterizing references from different disciplines: A perspective of citation content analysis," Journal of Informetrics, Elsevier, vol. 15(2).
  33. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
  34. Aurora González-Teruel & Francisca Abad-García, 2018. "The influence of Elfreda Chatman’s theories: a citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1793-1819, December.
  35. Luca Cagliero & Paolo Garza & Mohammad Reza Kavoosifar & Elena Baralis, 2018. "Discovering cross-topic collaborations among researchers by exploiting weighted association rules," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1273-1301, August.
  36. Sehrish Iqbal & Saeed-Ul Hassan & Naif Radi Aljohani & Salem Alelyani & Raheel Nawaz & Lutz Bornmann, 2021. "A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6551-6599, August.
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