Muhammad Tahir

2.1k citations

46 papers · 1.6k · 1 hit paper · h-index 21

Impact in

Health Information Management top 1%
- Artificial Intelligence in Healthcare
Molecular Biology top 10%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- vaccines and immunoinformatics approaches

Papers in

Molecular Biology 29
- Machine Learning in Bioinformatics 26
- RNA and protein synthesis mechanisms 21
- Genomics and Phylogenetic Studies 13
- RNA modifications and cancer 7
- Biochemical and Structural Characterization 4
- vaccines and immunoinformatics approaches 4
Artificial Intelligence 4

Co-authors: Maqsood Hayat (23 shared papers)Kil To Chong (18 shared papers)Hilal Tayara (9 shared papers)Shahid Akbar (5 shared papers)Yar Muhammad (1 shared paper)Salman Khan (2 shared papers)Farman Ali (2 shared papers)Ashfaq Ahmad (2 shared papers)
Journals: Chemometrics and Intelligent Laboratory Systems (10 papers)IEEE Access (5 papers)Artificial Intelligence in Medicine (2 papers)Molecular BioSystems (2 papers)Genomics (1 paper)
Partner nations: Pakistan South Korea Saudi Arabia

In The Last Decade

Muhammad Tahir

44 papers receiving 1.5k citations

Muhammad Tahir's Hit Papers

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Integrating deep learning techniques for personalized learning pathways in higher education 2024 · 59 citations

Peers

Countries citing papers authored by Muhammad Tahir

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Tahir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Tahir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Muhammad Tahir Line = papers co-authored together Muhammad Tahir links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Early and accurate detection and diagnosis of heart disease using intelligent computational model Scientific Reports ·Yar Muhammad, Muhammad Tahir, Maqsood Hayat, Kil To Chong	2020	146
2	cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model Artificial Intelligence in Medicine ·Shahid Akbar, Maqsood Hayat, Muhammad Tahir, Salman Khan, Fawaz Khaled Alarfaj	2022	102
3	iNuc-STNC: a sequence-based predictor for identification of nucleosome positioning in genomes by extending the concept of SAAC and Chou's PseAAC Molecular BioSystems ·Muhammad Tahir, Maqsood Hayat	2016	95
4	iRNA-PseKNC(2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components Journal of Theoretical Biology ·Muhammad Tahir, Hilal Tayara, Kil To Chong	2018	95
5	Deep-AntiFP: Prediction of antifungal peptides using distanct multi-informative features incorporating with deep neural networks Chemometrics and Intelligent Laboratory Systems ·Ashfaq Ahmad, Shahid Akbar, Salman Khan, Maqsood Hayat, Farman Ali, Aftab Ahmed, Muhammad Tahir	2020	88
6	iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC Chemometrics and Intelligent Laboratory Systems ·Iman Nazari, Muhammad Tahir, Hilal Tayara, Kil To Chong	2019	86
7	iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule Chemometrics and Intelligent Laboratory Systems ·Muhammad Tahir, Hilal Tayara, Kil To Chong	2019	80
8	iPseU-CNN: Identifying RNA Pseudouridine Sites Using Convolutional Neural Networks Molecular Therapy — Nucleic Acids ·Muhammad Tahir, Hilal Tayara, Kil To Chong	2019	79
9	iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach Chemometrics and Intelligent Laboratory Systems ·Ashfaq Ahmad, Shahid Akbar, Muhammad Tahir, Maqsood Hayat, Farman Ali	2022	70
10	Integrating deep learning techniques for personalized learning pathways in higher education Heliyon ·Fawad Naseer, Muhammad Nasir Khan, Muhammad Tahir, Abdullah Addas, Syed Muhammad Haider Aejaz Hit paper breakdown →	2024	59
11	iNuc-ext-PseTNC: an efficient ensemble model for identification of nucleosome positioning by extending the concept of Chou’s PseAAC to pseudo-tri-nucleotide composition Molecular Genetics and Genomics ·Muhammad Tahir, Maqsood Hayat, Sher Afzal Khan	2018	58
12	cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach IEEE Access ·Shahid Akbar, Maqsood Hayat, Muhammad Tahir, Kil To Chong	2020	57
13	Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models Information ·Muhammad Asad Arshed, Shahzad Mumtaz, Muhammad Ibrahim, Saeed Ahmad, Muhammad Tahir, Muhammad Shafi	2023	53
14	Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition Computer Methods and Programs in Biomedicine ·Muhammad Tahir, Maqsood Hayat, Muhammad Kabir	2017	47
15	Identification of prokaryotic promoters and their strength by integrating heterogeneous features Genomics ·Hilal Tayara, Muhammad Tahir, Kil To Chong	2019	46
16	iSS-CNN: Identifying splicing sites using convolution neural network Chemometrics and Intelligent Laboratory Systems ·Hilal Tayara, Muhammad Tahir, Kil To Chong	2019	34
17	Machine learning based identification of protein–protein interactions using derived features of physiochemical properties and evolutionary profiles Artificial Intelligence in Medicine ·Muhammad Tahir, Maqsood Hayat	2017	33
18	iRNA-PseTNC: identification of RNA 5-methylcytosine sites using hybrid vector space of pseudo nucleotide composition Frontiers of Computer Science ·Shahid Akbar, Maqsood Hayat, Muhammad Iqbal, Muhammad Tahir	2019	31
19	Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations Neural Networks ·Muhammad Tahir, Maqsood Hayat, Kil To Chong	2020	31
20	PSOFuzzySVM-TMH: identification of transmembrane helix segments using ensemble feature space by incorporated fuzzy support vector machine Molecular BioSystems ·Maqsood Hayat, Muhammad Tahir	2015	29

About Muhammad Tahir

Muhammad Tahir is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (26 papers), RNA and protein synthesis mechanisms (21 papers), Genomics and Phylogenetic Studies (13 papers), RNA modifications and cancer (7 papers), Biochemical and Structural Characterization (4 papers), Computational Drug Discovery Methods (4 papers), vaccines and immunoinformatics approaches (4 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Health Information Management (132 citations), Molecular Biology (1.0k citations), Microbiology (85 citations), Health Informatics (18 citations) and Medical Laboratory Technology (17 citations). Muhammad Tahir has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Maqsood Hayat, Kil To Chong, Hilal Tayara, Shahid Akbar, Yar Muhammad, Salman Khan, Farman Ali, Ashfaq Ahmad, Sher Afzal Khan and Iman Nazari. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, IEEE Access, Artificial Intelligence in Medicine, Molecular BioSystems and Genomics.

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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Muhammad Tahir's Hit Papers

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All Works

About Muhammad Tahir

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