Turki Turki

987 total citations
53 papers, 550 citations indexed

About

Turki Turki is a scholar working on Molecular Biology, Artificial Intelligence and Computational Mathematics. According to data from OpenAlex, Turki Turki has authored 53 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Artificial Intelligence and 11 papers in Computational Mathematics. Recurrent topics in Turki Turki's work include Machine Learning in Bioinformatics (14 papers), Gene expression and cancer classification (14 papers) and Tensor decomposition and applications (11 papers). Turki Turki is often cited by papers focused on Machine Learning in Bioinformatics (14 papers), Gene expression and cancer classification (14 papers) and Tensor decomposition and applications (11 papers). Turki Turki collaborates with scholars based in Saudi Arabia, Japan and United States. Turki Turki's co-authors include Zhi Wei, Y‐h. Taguchi, Jason T. L. Wang, Sanjiban Sekhar Roy, Zhihang Hu, NhatHai Phan, Usman Roshan, Yun Li, Kevin Byron and Miguel Cervantes‐Cervantes and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Turki Turki

47 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Turki Turki Saudi Arabia 13 233 175 110 72 62 53 550
Zhongxiao Li Saudi Arabia 11 401 1.7× 181 1.0× 64 0.6× 38 0.5× 62 1.0× 18 822
Quang‐Thai Ho Taiwan 14 544 2.3× 131 0.7× 49 0.4× 27 0.4× 47 0.8× 18 794
Hailin Hu China 14 546 2.3× 84 0.5× 84 0.8× 30 0.4× 54 0.9× 23 747
Rui Camacho Portugal 13 192 0.8× 198 1.1× 79 0.7× 29 0.4× 32 0.5× 70 632
Jingyu Hou China 13 339 1.5× 143 0.8× 41 0.4× 17 0.2× 136 2.2× 82 687
Momiao Xiong United States 17 351 1.5× 135 0.8× 70 0.6× 14 0.2× 29 0.5× 46 957
Chih-Chun Wang United States 24 114 0.5× 130 0.7× 26 0.2× 87 1.2× 34 0.5× 157 1.9k
Giuseppe Tradigo Italy 16 398 1.7× 134 0.8× 32 0.3× 30 0.4× 41 0.7× 104 832
Edward Kien Yee Yapp Singapore 9 363 1.6× 81 0.5× 50 0.5× 29 0.4× 45 0.7× 10 585
Jianing Xi China 15 340 1.5× 139 0.8× 89 0.8× 23 0.3× 34 0.5× 31 538

Countries citing papers authored by Turki Turki

Since Specialization
Citations

This map shows the geographic impact of Turki Turki'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 Turki Turki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Turki Turki more than expected).

Fields of papers citing papers by Turki Turki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Turki Turki. 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 Turki Turki. The network helps show where Turki Turki may publish in the future.

Co-authorship network of co-authors of Turki Turki

This figure shows the co-authorship network connecting the top 25 collaborators of Turki Turki. A scholar is included among the top collaborators of Turki Turki 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 Turki Turki. Turki Turki 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.
Taguchi, Y‐h. & Turki Turki. (2024). Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction. BMC Bioinformatics. 25(1). 377–377. 1 indexed citations
3.
Turki, Turki, et al.. (2023). Applying Deep Transfer Learning to Assess the Impact of Imaging Modalities on Colon Cancer Detection. Diagnostics. 13(10). 1721–1721. 5 indexed citations
4.
Turki, Turki, et al.. (2023). Impact of Self-medications and Medications Misuse on Health Outcomes. 2(12). 513–525. 1 indexed citations
5.
6.
Taguchi, Y‐h. & Turki Turki. (2023). Integrated Analysis of Gene Expression and Protein–Protein Interaction with Tensor Decomposition. Mathematics. 11(17). 3655–3655. 1 indexed citations
7.
8.
Taguchi, Y‐h. & Turki Turki. (2023). Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. Frontiers in Artificial Intelligence. 6. 1237542–1237542. 3 indexed citations
9.
Taguchi, Y‐h. & Turki Turki. (2022). Integrated Analysis of Tissue-Specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases. Genes. 13(6). 1097–1097. 1 indexed citations
10.
Taguchi, Y‐h. & Turki Turki. (2022). A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching. Scientific Reports. 12(1). 21242–21242. 1 indexed citations
11.
Taguchi, Y‐h. & Turki Turki. (2022). Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis. BMC Medical Genomics. 15(1). 37–37. 4 indexed citations
12.
Turki, Turki, et al.. (2022). Artificial Intelligence. Communications in computer and information science. 1 indexed citations
13.
14.
Turki, Turki & Y‐h. Taguchi. (2021). Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application. Computers in Biology and Medicine. 132. 104257–104257. 7 indexed citations
15.
Taguchi, Y‐h. & Turki Turki. (2020). A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction. PLoS ONE. 15(9). e0238907–e0238907. 31 indexed citations
16.
Turki, Turki & Y‐h. Taguchi. (2020). SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases. Computers in Biology and Medicine. 118. 103656–103656. 15 indexed citations
17.
Taguchi, Y‐h. & Turki Turki. (2019). Neurological Disorder Drug Discovery from Gene Expression with Tensor Decomposition. Current Pharmaceutical Design. 25(43). 4589–4599. 5 indexed citations
18.
Turki, Turki, et al.. (2019). Clinical intelligence: New machine learning techniques for predicting clinical drug response. Computers in Biology and Medicine. 107. 302–322. 24 indexed citations
19.
Turki, Turki & Zhi Wei. (2017). A link prediction approach to cancer drug sensitivity prediction. BMC Systems Biology. 11(S5). 94–94. 43 indexed citations
20.
Turki, Turki, et al.. (2016). Inferring Gene Regulatory Networks by Combining Supervised and Unsupervised Methods. 140–145. 9 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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