Maqsood Hayat

4.2k citations

72 papers · 3.5k indexed · 1 hit paper · h-index 36

Molecular Biology top 2%
Computational Theory and Mathematics top 1%
Microbiology top 1%
Artificial Intelligence top 5%
Health Information Management top 1%

Co-authors: Asifullah Khan Muhammad Tahir Shahid Akbar Farman Ali Muhammad Kabir Muhammad Iqbal Kil To Chong Salman Khan
Topics: Machine Learning in Bioinformatics (61 papers)RNA and protein synthesis mechanisms (42 papers)Genomics and Phylogenetic Studies (28 papers)
Cited by: Microbiology Molecular Biology Health Information Management
Journals: Analytical Biochemistry Scientific Reports IEEE Access
Partner nations: Pakistan China South Korea

In The Last Decade

Maqsood Hayat

71 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning

2025 29 citations Muhammad Khalil Shahid, Maqsood Hayat et al. Scientific Reports profile →

Peers

Countries citing papers authored by Maqsood Hayat

Since Specialization

Citations

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

Fields of papers citing papers by Maqsood Hayat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maqsood Hayat

This figure shows the co-authorship network connecting the top 25 collaborators of Maqsood Hayat. A scholar is included among the top collaborators of Maqsood Hayat 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 Maqsood Hayat. Maqsood Hayat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis 2025 ·Scientific Reports ·Asif Rahman,Maqsood Hayat,(unknown),Fawaz Khaled Alarfaj,Salem Alkhalaf,Fahad Alturise	0
2	pACPs-DNN: Predicting anticancer peptides using novel peptide transformation into evolutionary and structure matrix-based images with self-attention deep learning model 2025 ·Computational Biology and Chemistry ·Muhammad Khalil Shahid,Maqsood Hayat,(unknown),Shahid Akbar,Wajdi Alghamdi,Nadeem Iqbal,Quan Zou	16
3	Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition 2024 ·IEEE Access ·(unknown),Muhammad Tahir,Shahid Hussain,Sarah Gul,Maqsood Hayat,Reyazur Rashid Irshad,Fabiano Pallonetto	6
4	A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest 2023 ·Information ·(unknown),Saeed Ahmed,Muhammad Kabir,Maqsood Hayat	6
5	ML-RBF: Predict protein subcellular locations in a multi-label system using evolutionary features 2020 ·Chemometrics and Intelligent Laboratory Systems ·(unknown),Jamal Uddin Ahmed,Maqsood Hayat	1
6	Early and accurate detection and diagnosis of heart disease using intelligent computational model 2020 ·Scientific Reports ·Yar Muhammad,Muhammad Tahir,Maqsood Hayat,Kil To Chong	129
7	Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations 2020 ·Neural Networks ·Muhammad Tahir,Maqsood Hayat,Kil To Chong	31
8	Pred-BVP-Unb: Fast prediction of bacteriophage Virion proteins using un-biased multi-perspective properties with recursive feature elimination 2019 ·Genomics ·Muhammad Arif,Farman Ali,Saeed Ahmad,Muhammad Kabir,Zakir Ali,Maqsood Hayat	52
9	iNR-2L: A two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families 2019 ·Genomics ·Muhammad Kabir,Saeed Ahmad,Muhammad Iqbal,Maqsood Hayat	59
10	Predicting subcellular localization of multi-label proteins by incorporating the sequence features into Chou's PseAAC 2018 ·Genomics ·(unknown),Maqsood Hayat	68
11	Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins 2017 ·Journal of Theoretical Biology ·(unknown),Maqsood Hayat,Sher Afzal Khan,Saeed Ahmad,Nadeem Iqbal	14
12	iNuc-STNC: a sequence-based predictor for identification of nucleosome positioning in genomes by extending the concept of SAAC and Chou's PseAAC 2016 ·Molecular BioSystems ·Muhammad Tahir,Maqsood Hayat	92
13	“iSS-Hyb-mRMR”: Identification of splicing sites using hybrid space of pseudo trinucleotide and pseudo tetranucleotide composition 2016 ·Computer Methods and Programs in Biomedicine ·Muhammad Iqbal,Maqsood Hayat	24
14	PSOFuzzySVM-TMH: identification of transmembrane helix segments using ensemble feature space by incorporated fuzzy support vector machine 2015 ·Molecular BioSystems ·Maqsood Hayat,Muhammad Tahir	29
15	iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples 2015 ·Molecular Genetics and Genomics ·Muhammad Kabir,Maqsood Hayat	125
16	Classification of membrane protein types using Voting Feature Interval in combination with Chou׳s Pseudo Amino Acid Composition 2015 ·Journal of Theoretical Biology ·Farman Ali,Maqsood Hayat	144
17	Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC 2015 ·Computer Methods and Programs in Biomedicine ·Saeed Ahmad,Muhammad Kabir,Maqsood Hayat	95
18	Discriminating Outer Membrane Proteins with Fuzzy K-Nearest Neighbor Algorithms Based on the General Form of Chou’s PseAAC 2012 ·Protein and Peptide Letters ·Maqsood Hayat,Asifullah Khan	140
19	Mem-PHybrid: Hybrid features-based prediction system for classifying membrane protein types 2012 ·Analytical Biochemistry ·Maqsood Hayat,Asifullah Khan	40
20	Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition 2010 ·Journal of Theoretical Biology ·Maqsood Hayat,Asifullah Khan	139

About Maqsood Hayat

Maqsood Hayat is a scholar working on Molecular Biology, Microbiology and Computational Theory and Mathematics, having authored 72 papers that have together received 3.5k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (61 papers), RNA and protein synthesis mechanisms (42 papers) and Genomics and Phylogenetic Studies (28 papers). The work is most often cited by research in Microbiology (289 citations), Molecular Biology (3.0k citations) and Health Information Management (154 citations). Maqsood Hayat has collaborated with scholars based in Pakistan, China and South Korea. Frequent co-authors include Asifullah Khan, Muhammad Tahir, Shahid Akbar, Farman Ali, Muhammad Kabir, Muhammad Iqbal, Kil To Chong, Salman Khan, Saeed Ahmad and Sher Afzal Khan. Their work appears in journals such as Analytical Biochemistry, Scientific Reports and IEEE Access.

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