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Zhang, J., Liu, X., Liang, Y., Cao, Q., Tian, Y., Zhu, Y., et al. (2019) Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat. Sensors, 19, Article No. 1108.
https://doi.org/10.3390/s19051108

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• TITLE: Information Mining and Bibliometric Analysis of Academic Misconduct

  AUTHORS: Yuenan Wang, Tianxiao Jiang, Tong Zhai, Hongbin Liu

  KEYWORDS: Information Mining, Bibliometric Analysis, Academic Misconduct, Scholarly Misconduct, VOSviewer

  JOURNAL NAME: Open Access Library Journal, Vol.13 No.2, February 9, 2026

  ABSTRACT: Academic misconduct has always been a hot topic both internationally and domestically, and there have been many studies on it. The present bibliometric analysis was conducted on the basis of 1562 WOS database-derived papers to shed more light on publication performances as well as research features of Academic Misconduct. We used indicators for evaluating impacts of the most prolific journals, countries/territories, organizations and authors. Additionally, interactions across prolific countries/territories, organizations, authors and keywords were assessed and visualized through social network analysis by adopting VOSviewer software. Our findings shed more light on summarizing the research status in the field of academic misconduct-related fields.