Md. Altaf-Ul-Amin

485 total citations
25 papers, 291 citations indexed

About

Md. Altaf-Ul-Amin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Md. Altaf-Ul-Amin has authored 25 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 3 papers in Biomedical Engineering. Recurrent topics in Md. Altaf-Ul-Amin's work include Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Md. Altaf-Ul-Amin is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Computational Drug Discovery Methods (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Md. Altaf-Ul-Amin collaborates with scholars based in Japan, Indonesia and China. Md. Altaf-Ul-Amin's co-authors include Shigehiko Kanaya, Ming Huang, Samuel Kiboi, Farit Mochamad Afendi, Naoaki Ono, Masayoshi Wada, Takaaki Nishi­oka, Azian Azamimi Abdullah, Kang Liu and Tetsuo Sato and has published in prestigious journals such as Scientific Reports, IEEE Access and BioMed Research International.

In The Last Decade

Md. Altaf-Ul-Amin

19 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Altaf-Ul-Amin Japan 11 162 43 39 36 20 25 291
Yimei Liu China 11 118 0.7× 76 1.8× 9 0.2× 26 0.7× 12 0.6× 44 391
Marco Piangerelli Italy 11 70 0.4× 27 0.6× 42 1.1× 12 0.3× 58 2.9× 24 343
Kamal Kumar United States 13 231 1.4× 26 0.6× 134 3.4× 24 0.7× 33 1.6× 28 524
Xueting Liu China 13 128 0.8× 31 0.7× 13 0.3× 7 0.2× 10 0.5× 29 513
Jihye Lee South Korea 7 147 0.9× 33 0.8× 117 3.0× 13 0.4× 40 2.0× 19 638
Kitiporn Plaimas Thailand 14 432 2.7× 106 2.5× 179 4.6× 14 0.4× 25 1.3× 61 676
Jia Jia China 14 334 2.1× 29 0.7× 11 0.3× 36 1.0× 5 0.3× 25 484
Vladimir Volynkin United Kingdom 4 254 1.6× 8 0.2× 20 0.5× 41 1.1× 14 0.7× 4 322
Yi Xue Li China 5 167 1.0× 42 1.0× 27 0.7× 9 0.3× 5 0.3× 6 301

Countries citing papers authored by Md. Altaf-Ul-Amin

Since Specialization
Citations

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

Fields of papers citing papers by Md. Altaf-Ul-Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Altaf-Ul-Amin. 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 Md. Altaf-Ul-Amin. The network helps show where Md. Altaf-Ul-Amin may publish in the future.

Co-authorship network of co-authors of Md. Altaf-Ul-Amin

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Altaf-Ul-Amin. A scholar is included among the top collaborators of Md. Altaf-Ul-Amin 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 Md. Altaf-Ul-Amin. Md. Altaf-Ul-Amin 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
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Ono, Naoaki, et al.. (2025). Discovering natural products as potential inhibitors of SARS-CoV-2 spike proteins. Scientific Reports. 15(1). 200–200. 2 indexed citations
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Chen, Zheng, Ziwei Yang, Wei Chen, et al.. (2023). Automated Sleep Staging via Parallel Frequency-Cut Attention. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1974–1985. 15 indexed citations
6.
Batubara, Irmanida, et al.. (2023). Deep Learning Approach for Predicting the Therapeutic Usages of Unani Formulas towards Finding Essential Compounds. Life. 13(2). 439–439. 4 indexed citations
7.
Azam, Sami, et al.. (2023). Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning. IEEE Access. 11. 114497–114508. 6 indexed citations
8.
Huang, Ming, et al.. (2022). Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier. Antibiotics. 11(9). 1199–1199. 13 indexed citations
9.
Chen, Zheng, Naoaki Ono, Wei Chen, et al.. (2021). The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals. Computer Methods and Programs in Biomedicine. 205. 106102–106102. 14 indexed citations
10.
Altaf-Ul-Amin, Md., João V. Nani, Ljubica Tasić, et al.. (2021). A system biology approach based on metabolic biomarkers and protein–protein interactions for identifying pathways underlying schizophrenia and bipolar disorder. Scientific Reports. 11(1). 14450–14450. 9 indexed citations
11.
Huang, Ming, et al.. (2019). BiClusO: A Novel Biclustering Approach and Its Application to Species-VOC Relational Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(6). 1955–1965. 10 indexed citations
12.
Kanaya, Shigehiko, et al.. (2019). Implementation of BiClusO and its comparison with other biclustering algorithms. Applied Network Science. 4(1). 3 indexed citations
13.
WATANABE, Satoshi, Kang Liu, Md. Altaf-Ul-Amin, et al.. (2018). Data Intensive Study of Accessibility of Edible Species and Healthcare Across the Globe. 15(1). 37–60. 1 indexed citations
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Liu, Kang, Azian Azamimi Abdullah, Ming Huang, et al.. (2017). Novel Approach to Classify Plants Based on Metabolite-Content Similarity. BioMed Research International. 2017. 1–12. 40 indexed citations
16.
Altaf-Ul-Amin, Md., et al.. (2015). A Glimpse to Background and Characteristics of Major Molecular Biological Networks. BioMed Research International. 2015. 1–14. 12 indexed citations
17.
Abdullah, Azian Azamimi, Md. Altaf-Ul-Amin, Naoaki Ono, et al.. (2015). Development and Mining of a Volatile Organic Compound Database. BioMed Research International. 2015. 1–13. 27 indexed citations
18.
Altaf-Ul-Amin, Md., Farit Mochamad Afendi, Samuel Kiboi, & Shigehiko Kanaya. (2014). Systems Biology in the Context of Big Data and Networks. BioMed Research International. 2014. 1–11. 53 indexed citations
19.
Altaf-Ul-Amin, Md., Masayoshi Wada, & Shigehiko Kanaya. (2012). Partitioning a PPI Network into Overlapping Modules Constrained by High-Density and Periphery Tracking. 2012. 1–11. 30 indexed citations
20.

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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