Md Ashad Alam

619 total citations
34 papers, 429 citations indexed

About

Md Ashad Alam is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Md Ashad Alam has authored 34 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Artificial Intelligence and 8 papers in Genetics. Recurrent topics in Md Ashad Alam's work include Bioinformatics and Genomic Networks (6 papers), Face and Expression Recognition (6 papers) and Machine Learning in Bioinformatics (5 papers). Md Ashad Alam is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Face and Expression Recognition (6 papers) and Machine Learning in Bioinformatics (5 papers). Md Ashad Alam collaborates with scholars based in United States, Japan and Bangladesh. Md Ashad Alam's co-authors include Hong‐Wen Deng, Md Mehedi Hasan, Hiroyuki Kurata, Balachandran Manavalan, Kwang‐Guk An, Md Mamun, Jung‐Jae Kim, Watshara Shoombuatong, Kenji Fukumizu and Yu‐Ping Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Md Ashad Alam

33 papers receiving 419 citations

Peers

Md Ashad Alam
Yun Deng China
Nora K. Speicher Germany
Haochen Zhao China
Wolfgang Urfer Germany
Roberto Visintainer Italy
Shangbo Zhou China
Zheming Yuan China
Fentaw Abegaz Netherlands
Bo Kyeng Hou South Korea
Yun Deng China
Md Ashad Alam
Citations per year, relative to Md Ashad Alam Md Ashad Alam (= 1×) peers Yun Deng

Countries citing papers authored by Md Ashad Alam

Since Specialization
Citations

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

Fields of papers citing papers by Md Ashad Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Ashad Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Md Ashad Alam. A scholar is included among the top collaborators of Md Ashad Alam 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 Ashad Alam. Md Ashad Alam 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.
Hossain, Md. Delwar, et al.. (2025). Identifying Multi-Omics Interactions for Lung Cancer Drug Targets Discovery Using Kernel Machine Regression. Applied Sciences. 15(21). 11506–11506.
2.
Rahman, Md. Mostafizer, et al.. (2025). RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(6). 3788–3805. 7 indexed citations
3.
Zhu, Jingjing, Shuai Liu, Keenan A. Walker, et al.. (2024). Associations between genetically predicted plasma protein levels and Alzheimer’s disease risk: a study using genetic prediction models. Alzheimer s Research & Therapy. 16(1). 8–8. 7 indexed citations
4.
Morland, Leslie A., Dimitri Perivoliotis, Md Ashad Alam, et al.. (2024). MDMA-assisted brief cognitive behavioral conjoint therapy for PTSD: Study protocol for a pilot study. Contemporary Clinical Trials Communications. 40. 101314–101314. 2 indexed citations
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Habib, Md. Ahsan, et al.. (2024). Multi-omics data integration and drug screening of AML cancer using Generative Adversarial Network. Methods. 226. 138–150. 3 indexed citations
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Hoque, Md. Aminul, et al.. (2023). Weighted scaling approach for metabolomics data analysis. Japanese Journal of Statistics and Data Science. 6(2). 785–802. 2 indexed citations
9.
Hasan, Md Mehedi, Jae Youl Cho, Hiroyuki Kurata, et al.. (2022). Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy. Molecular Therapy. 30(8). 2856–2867. 64 indexed citations
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Hasan, Md Mehedi, Md Ashad Alam, Watshara Shoombuatong, & Hiroyuki Kurata. (2021). IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations. Journal of Computer-Aided Molecular Design. 35(3). 315–323. 5 indexed citations
12.
Mamun, Md, Jung‐Jae Kim, Md Ashad Alam, & Kwang‐Guk An. (2019). Prediction of Algal Chlorophyll-a and Water Clarity in Monsoon-Region Reservoir Using Machine Learning Approaches. Water. 12(1). 30–30. 79 indexed citations
13.
Alam, Md Ashad, et al.. (2019). PERFORMANCE EVALUATION OF MACHINE LEARNING ALGORITHMS IN ECOLOGICAL DATASET. 10(1). 15–45. 2 indexed citations
14.
Alam, Md Ashad, et al.. (2019). Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data. PLoS ONE. 14(5). e0217027–e0217027. 4 indexed citations
15.
Alam, Md Ashad, Kenji Fukumizu, & Yu‐Ping Wang. (2018). Influence function and robust variant of kernel canonical correlation analysis. Neurocomputing. 304. 12–29. 10 indexed citations
16.
Alam, Md Ashad, et al.. (2018). A kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia. Journal of Neuroscience Methods. 309. 161–174. 17 indexed citations
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Alam, Md Ashad. (2014). HYPERPARAMETER SELECTION IN KERNEL PRINCIPAL COMPONENT ANALYSIS. Journal of Computer Science. 10(7). 1139–1150. 21 indexed citations
20.
Alam, Md Ashad & Kenji Fukumizu. (2013). Higher-Order Regularized Kernel CCA. 374–377. 6 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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