The study proposes an integrated conceptual model to assess the journal citation impact. The antecedent factors include journal attributes, journal accessibility, and journal diversity. The structural equation modeling (SEM) with partial least square (PLS) is applied to conduct the empirical study within the fifty journals in the field of library and information science. The result shows that the antecedent factors account for 39.4% of the variance in journal citation. The result of measurement model shows that the number of articles is a good indicator for journal attributes; document availability is a good indicator for journal accessibility; and subject variety is a good indicator for journal diversity. As for the journal citation, three indicators include impact factor, immediacy index, and total citations are all good indicators. Moreover, the result of structural model shows that journal citation is significantly influenced by journal diversity, while there is no significant effect of journal attributes and journal accessibility.