Many other factors affecting citation of publications, except for research area coverage, have been studied. This study aims to investigate impact of research area coverage. Bibliometric papers and their related papers (referred papers, citing papers and first author's papers) were screened and matched by Python program. Papers' research areas were classified according to Web of Science. Bibliometric parameters of the most cited 5% and the least cited 5% papers were compared. Firstly, coverage of related papers' research areas impacts the citation of their original papers. The impact of references and citing papers are positive and negative, separately, while the first author's papers have no influence. Secondly, high-influence papers tend to cite references from a wider area and are cited by followers from a wider area. Additionally, the pattern of knowledge flow differs significantly between high- and low-influence papers. Low-influence papers narrow knowledge flow, whereas high-influence papers broaden it. This study has shown that both depth and breadth of research area coverage can influence citations. It is recommended that authors should extensively cite high-influence publications, both within and beyond their own area.

翻译：影响论文被引的诸多因素中，除研究领域覆盖外已有大量研究。本研究旨在探讨研究领域覆盖的影响。通过Python程序对文献计量论文及其关联论文（参考文献、施引文献和第一作者论文）进行筛选与匹配。依据Web of Science对论文的研究领域进行分类，并对被引最高5%与最低5%论文的文献计量参数进行比较。研究发现：首先，关联论文的研究领域覆盖会影响其原始论文的被引，其中参考文献和施引文献的影响分别为正向和负向，而第一作者论文无显著影响；其次，高影响力论文倾向于引用更广泛领域的参考文献，并被更广泛领域的后续研究所引用；此外，高影响力论文与低影响力论文的知识流动模式存在显著差异——低影响力论文收窄知识流动，而高影响力论文则拓宽知识流动。本研究揭示研究领域覆盖的深度与广度均可影响论文被引，建议作者在其领域内外广泛引用高影响力文献。