Xiaohui Lin

2.6k total citations
57 papers, 2.0k citations indexed

About

Xiaohui Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics. According to data from OpenAlex, Xiaohui Lin has authored 57 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Computational Theory and Mathematics. Recurrent topics in Xiaohui Lin's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Epigenetics and DNA Methylation (9 papers) and AI in cancer detection (7 papers). Xiaohui Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Epigenetics and DNA Methylation (9 papers) and AI in cancer detection (7 papers). Xiaohui Lin collaborates with scholars based in China, United States and Hong Kong. Xiaohui Lin's co-authors include William G. Nelson, Samuel R. Denmeade, John T. Isaacs, Srinivasan Yegnasubramanian, Angelo M. De Marzo, Byron Lee, Ganesh S. Palapattu, Patrick J. Bastian, Ravi Veeraswamy and Bruce J. Trock and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaohui Lin

53 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaohui Lin China 19 1.3k 615 377 211 210 57 2.0k
Éva Latulippe Canada 11 1.7k 1.3× 618 1.0× 553 1.5× 380 1.8× 195 0.9× 21 2.5k
Hua Su China 31 1.4k 1.1× 282 0.5× 486 1.3× 298 1.4× 231 1.1× 85 2.7k
Javad Beheshti United States 7 1.7k 1.3× 636 1.0× 501 1.3× 554 2.6× 172 0.8× 8 2.6k
Augustin Luna United States 21 1.5k 1.1× 387 0.6× 567 1.5× 424 2.0× 185 0.9× 52 2.1k
Yongyu Wang China 22 1.4k 1.0× 658 1.1× 622 1.6× 476 2.3× 159 0.8× 79 2.9k
Anupama Reddy United States 15 1.4k 1.1× 350 0.6× 578 1.5× 265 1.3× 95 0.5× 43 2.4k
Keyan Salari United States 22 1.3k 1.0× 632 1.0× 693 1.8× 599 2.8× 427 2.0× 52 2.4k
Michael Bonham United States 12 1.3k 1.0× 534 0.9× 324 0.9× 307 1.5× 197 0.9× 16 2.0k
Seungyoon Nam South Korea 24 1.0k 0.8× 214 0.3× 538 1.4× 309 1.5× 88 0.4× 89 1.6k
Aristotelis Chatziioannou Greece 23 938 0.7× 233 0.4× 268 0.7× 224 1.1× 150 0.7× 118 1.8k

Countries citing papers authored by Xiaohui Lin

Since Specialization
Citations

This map shows the geographic impact of Xiaohui Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaohui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Lin more than expected).

Fields of papers citing papers by Xiaohui Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohui Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaohui Lin. The network helps show where Xiaohui Lin may publish in the future.

Co-authorship network of co-authors of Xiaohui Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Lin. A scholar is included among the top collaborators of Xiaohui Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaohui Lin. Xiaohui Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Lin, Xiaohui, et al.. (2025). Value of deep learning model for predicting Breast Imaging Reporting and Data System 3 and 4A lesions on mammography. Quantitative Imaging in Medicine and Surgery. 15(5). 4047–4058. 1 indexed citations
3.
Wang, Jiawen, Yingmei Zhang, Ning Tian, et al.. (2024). Mechanisms of glutamate metabolic function and dysfunction in vascular dementia. SHILAP Revista de lepidopterología. 2(1). 33–48. 5 indexed citations
4.
5.
Liao, Tingting, et al.. (2024). Novel study on the prediction of BI-RADS 4A positive lesions in mammography using deep learning technology and clinical factors. Quantitative Imaging in Medicine and Surgery. 14(12). 8864–8877. 1 indexed citations
6.
Moussawi, Ali, et al.. (2017). Limits of Predictability of Cascading Overload Failures in Spatially-Embedded Networks with Distributed Flows. Scientific Reports. 7(1). 11729–11729. 12 indexed citations
7.
Lin, Xiaohui, et al.. (2013). L(2, 1)-labeling of flower snark and related graphs.. Ars Combinatoria. 110. 505–512. 2 indexed citations
8.
Lin, Xiaohui, et al.. (2012). Prime Cordial labeling of Flower Snark and related graphs.. Ars Combinatoria. 105. 45–52. 2 indexed citations
9.
Lin, Xiaohui, et al.. (2011). A lower bound for 2-rainbow domination number of generalized Petersen graphs P(n, 3).. Ars Combinatoria. 102. 483–492. 1 indexed citations
10.
Lin, Xiaohui, et al.. (2009). On the Crossing Numbers of the k-th Power of P n .. Ars Combinatoria. 92. 1 indexed citations
11.
Lin, Xiaohui, et al.. (2009). (d, 1)-Total labellings of regular nonbipartite graphs and an application to flower snarks.. Ars Combinatoria. 93. 3 indexed citations
12.
Lin, Xiaohui, et al.. (2008). The crossing number of flower snarks and related graphs.. Ars Combinatoria. 86.
13.
Lin, Xiaohui, et al.. (2008). The crossing number of K2,m□Pn. Discrete Mathematics. 308(24). 6639–6644. 4 indexed citations
14.
Lin, Xiaohui, et al.. (2008). The crossing numbers of generalized Petersen graphs with small order. Discrete Applied Mathematics. 157(5). 1016–1023. 4 indexed citations
15.
Yang, Yuansheng, et al.. (2007). On Multicolor Ramsey Numbers for Even Cycles in Graphs.. Ars Combinatoria. 84. 1 indexed citations
16.
Lee, Byron, Srinivasan Yegnasubramanian, Xiaohui Lin, & William G. Nelson. (2005). Procainamide Is a Specific Inhibitor of DNA Methyltransferase 1. Journal of Biological Chemistry. 280(49). 40749–40756. 229 indexed citations
17.
Yegnasubramanian, Srinivasan, et al.. (2004). Hot water extracts from broccoli sprouts trigger induction of carcinogen-detoxification enzymes in prostate tissues.. Cancer Research. 64. 729–729. 1 indexed citations
18.
Bastian, Patrick J., Srinivasan Yegnasubramanian, Ganesh S. Palapattu, et al.. (2004). Molecular Biomarker in Prostate Cancer: The Role of CpG Island Hypermethylation. European Urology. 46(6). 698–708. 95 indexed citations
19.
Nakayama, Masashi, Mark L. Gonzalgo, Srinivasan Yegnasubramanian, et al.. (2003). GSTP1 CpG island hypermethylation as a molecular biomarker for prostate cancer. Journal of Cellular Biochemistry. 91(3). 540–552. 152 indexed citations
20.
Denmeade, Samuel R., Xiaohui Lin, Bertrand Tombal, & John T. Isaacs. (1999). Inhibition of caspase activity does not prevent the signaling phase of apoptosis in prostate cancer cells. The Prostate. 39(4). 269–279. 23 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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