## 3 Results and Discussion
### Author Analysis  
Figure 5a illustrates the top ten authors in terms of cumulative publications in the BCL dataset, with [PERSON], [PERSON], and [PERSON] being the top three authors. The graph provides a clear perspective on the years of activity for authors in the field based on the number of publications. For instance, [PERSON] emerges as one of the most active researchers in the early 2000s, while [PERSON] has risen as a prominent author in more recent years. Furthermore, it is noteworthy that in 2012 and 2013, the spheres representing [PERSON] and [PERSON] are notably darker in color, indicating the higher impact of the articles they published in those years [6; 49; 50]. Figure 5b presents a network diagram of authors with a publication count exceeding 20 in the BCL database, comprising a total of 65 nodes, each representing an author. The size of each node is proportional to the author's publication count. Additionally, the citation count is a crucial metric for assessing an author's impact in the field. Nodes with a more yellowish hue indicate higher values, signifying higher average citations for the author. Notably, authors such as [PERSON], [PERSON], and [PERSON] exhibit higher citation counts. In Figure 5b, there are no connections between [PERSON] and [PERSON], indicating potential differences between their research directions and the mainstream studies within the BCL dataset. To obtain deeper insights into the research directions of the highly influential authors in this field, we constructed data subsets for the top three authors based on publications and citations. Analyzing the keywords within these subsets provides a preliminary understanding of the authors' research focuses. Table S6 presents the bibliometric parameters, main keywords, and their respective proportions for the top three authors by publications and citations, highlighting their research focus. Due to the limitation of length, the following analysis focuses on three authors to provide a detailed examination of their respective research directions. Among them, [PERSON] had the highest number of publications, [PERSON] was one of the most active authors in the early stages of this field, and [PERSON] had the highest average citations. The most frequently occurring keywords from [PERSON]'s publications are \"black carbon\", and geographically specific terms such as \"Tibetan Plateau\", \"Himalayas\", and \"Arctic\" are also prominent. Object- and property-related keywords encompass \"black carbon\", \"organic carbon\", \"glacier\", \"aerosol\", and \"light absorption\". Methodological terms  
Figure 5: (**a**) The top ten authors by cumulative publications over time, with the size of each sphere corresponding to the number of articles, and the color intensity representing the average citation rate. (**b**) The author cooperation network, with the color of each node representing the standardized average citation of the author’s publications. include \"WRF-Chem\", and the phenomenon-related keyword is \"climate change\". Based on keyword analysis, it is reasonable to infer that [PERSON]'s main contributions involve investigating the impact of black carbon on glaciers and the climate in cold regions such as the Tibetan Plateau, Himalayas, and Arctic [3; 8; 16; 51]. For instance, [PERSON] et al. primarily relied on carbon isotope analysis to distinguish the sources of black carbon, revealing the origins of black carbon affecting the Himalayan-Tibetan Plateau glaciers and emphasizing the combined influence of both regional and local sources [3]. In [PERSON]'s research, \"aerosols\" emerges as the most prevalent keyword, accompanied by geographically specific terms like \"India\". Key subjects of investigation include \"aerosols\", \"black carbon\", \"brown carbon\", \"greenhouse gases\", and \"cloud cover\". Phenomena of interest include \"air pollution\", \"global warming\", \"climate change mitigation\", and \"radiative forcing\".