The phrase "as related work" is correct and usable in written English.
It is typically used in academic or research contexts to refer to previous studies or literature that are relevant to the current work being discussed.
Example: "In this paper, we will build upon the findings of Smith et al. (2020) as related work to support our hypothesis."
Alternatives: "as previous research" or "as prior studies".
Related work: we considered studies cited as related work in both primary and secondary studies found in the search engines.
The paper is organized as follows: Section 'Integration testing of classes and aspects' reviews approaches and strategies for the integration of aspects and classes, as well as, related work.
As related work, we mention the T ree-C onstrained B ipartite M atching problem where either a node or any of its descendants may be part of the matching; this problem is also APX-hard (Canzar et al., 2011).
Hereby, we found a similar relation between the speed of a crowd and the density as related work suggests.
It is worth noting that the various publications describing the systems discussed in this review do not cite other systems as related work, and consequently do not propose a comparison of features.
As related works to our study context, examples of earlier relevant research investigations, using various control techniques, can be found in [8 23].
The show at this new apartment gallery brings together exhibitions from a 1972 show, as well as related works by those artists.
We describe as well related work from different EU-funded research projects and how such knowledge is fed to the imergo® Web Compliance Suite. 1.
The rest of the paper is organised as follows: related work is presented in Section 2 while the proposed EMFFS method is described in Section 3.
The remainder of the paper proceeds as follows: related work is presented in Section 2, followed by the summarization of eServices platform in Section 3. Section 4 approaches the core of this paper concerning knowledge extraction to unequivocally identify potential risk situations.
The paper is organised as follows: related work on computational methods for addressing the protein structure prediction problem is presented, the proposed hill-climbing evolutionary model is described and assessed in a set of computational experiments and numerical comparisons are discussed.
