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<Article>
<Journal>
				<PublisherName>University of Kashan</PublisherName>
				<JournalTitle>Iranian Journal of Mathematical Chemistry</JournalTitle>
				<Issn>2228-6489</Issn>
				<Volume>17</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>09</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Kirchhoff‎, ‎Multiplicative and Additive Degree-Kirchhoff Indices in Random Cyclodecane Chains</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>287</FirstPage>
			<LastPage>306</LastPage>
			<ELocationID EIdType="pii">115736</ELocationID>
			
<ELocationID EIdType="doi">10.22052/ijmc.2026.257678.2073</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Xuan</FirstName>
					<LastName>Jiang</LastName>
<Affiliation>Department of Data Science‎,  ‎Anhui University of Technology‎ , ‎Maanshan‎, ‎243032‎, ‎Anhui‎, ‎China</Affiliation>

</Author>
<Author>
					<FirstName>Pingping</FirstName>
					<LastName>Chen</LastName>
<Affiliation>School of Mathematics and Statistics‎, ‎Beijing Technology and Business University‎, ‎Beijing‎, ‎100048‎,  ‎China</Affiliation>

</Author>
<Author>
					<FirstName>Kai</FirstName>
					<LastName>Zhou</LastName>
<Affiliation>School of Big Data and Artificial Intelligence‎, ‎Center of Applied Mathematics‎, ‎Chizhou University‎, ‎Chizhou‎, ‎247000‎, ‎Anhui‎, ‎China</Affiliation>

</Author>
<Author>
					<FirstName>Duoduo</FirstName>
					<LastName>Zhao</LastName>
<Affiliation>School of Big Data and Artificial Intelligence‎, ‎Center of Applied Mathematics‎, ‎Chizhou University‎, ‎Chizhou‎, ‎247000‎, ‎Anhui‎, ‎China</Affiliation>
<Identifier Source="ORCID">0009-0003-0667-0478</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>09</Month>
					<Day>29</Day>
				</PubDate>
			</History>
		<Abstract>‎The Kirchhoff index serves as a significant measure in characterizing molecular topological structures‎. ‎It quantifies atomic connectivity within molecules and facilitates the correlation and prediction of physicochemical properties and biological activities of chemical compounds‎, ‎thereby holding considerable practical value‎. ‎This paper derives recurrence relations for the expected values of three variants of the Kirchhoff index‎, ‎the multiplicative degree-Kirchhoff index‎, ‎and the additive degree-Kirchhoff index in random cyclodecane chains using a recursive approach‎. ‎Based on these relations‎, ‎the extremal values and average values of these indices are obtained for a cyclodecane chain composed of $n$ regular decagons‎. ‎Furthermore‎, ‎it is shown that the expected Kirchhoff indices of the random cyclodecane chain equal the average of the corresponding indices over five specific structural configurations of the chain‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Random cyclodecane chain, Kirchhoff index, Multiplicative degree-Kirchhoff index&amp;lrm</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">, Additive degree-Kirchhoff index, Expected value, Recursive method</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijmc.kashanu.ac.ir/article_115736_35072f52eb0bc3efb2b1f5ca8cc2d822.pdf</ArchiveCopySource>
</Article>
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