Muhammad Nabeel Asim

906 total citations
46 papers, 556 citations indexed

About

Muhammad Nabeel Asim is a scholar working on Molecular Biology, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Muhammad Nabeel Asim has authored 46 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Mechanical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Muhammad Nabeel Asim's work include Machine Learning in Bioinformatics (13 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Phylogenetic Studies (4 papers). Muhammad Nabeel Asim is often cited by papers focused on Machine Learning in Bioinformatics (13 papers), RNA and protein synthesis mechanisms (8 papers) and Genomics and Phylogenetic Studies (4 papers). Muhammad Nabeel Asim collaborates with scholars based in Pakistan, Germany and China. Muhammad Nabeel Asim's co-authors include Syeda Adila Batool, Muhammad Nawaz Chaudhry, Muhammad Ali Ibrahim, Ghulam Moeen Uddin, Andreas Dengel, Sheraz Ahmed, Zia ul Rehman Tahir, Waqar Mahmood, Muhammad Usman Ghani Khan and Nasir Hayat and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Nabeel Asim

37 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Nabeel Asim Pakistan 11 103 93 93 93 88 46 556
Ahmad Mujahid Ahmad Zaidi Malaysia 15 167 1.6× 44 0.5× 211 2.3× 20 0.2× 83 0.9× 66 650
Md Abdulla Al Mamun Australia 10 126 1.2× 16 0.2× 9 0.1× 259 2.8× 40 0.5× 22 788
Jiacheng Yu China 9 51 0.5× 16 0.2× 32 0.3× 83 0.9× 48 0.5× 26 419
Iosr Journals 12 88 0.9× 18 0.2× 114 1.2× 9 0.1× 39 0.4× 106 525
Opeyeolu Timothy Laseinde South Africa 14 51 0.5× 27 0.3× 12 0.1× 14 0.2× 62 0.7× 64 520
Haiqing Zhang China 12 20 0.2× 20 0.2× 66 0.7× 10 0.1× 164 1.9× 65 552
Subhav Singh India 12 106 1.0× 9 0.1× 34 0.4× 16 0.2× 60 0.7× 75 464
Shuang Zhang China 11 18 0.2× 36 0.4× 22 0.2× 25 0.3× 55 0.6× 34 417
Jiao Sun China 19 87 0.8× 113 1.2× 5 0.1× 37 0.4× 53 0.6× 54 944

Countries citing papers authored by Muhammad Nabeel Asim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Nabeel Asim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Nabeel Asim

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Nabeel Asim. A scholar is included among the top collaborators of Muhammad Nabeel Asim 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 Muhammad Nabeel Asim. Muhammad Nabeel Asim 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.
Ateeq, Muhammad, Muhammad Ikram, Muhammad Ashraf, et al.. (2025). Securing fruit trees future: AI-driven early warning and predictive systems for abiotic stress in changing climate. Plant Stress. 17. 100953–100953. 5 indexed citations
2.
3.
Hamid, Shahid, et al.. (2025). Postharvest Handling and Storage Strategies for Preserving Jujube (Ziziphus jujuba Mill.) Fruit Quality: A Review. Foods. 14(19). 3370–3370. 1 indexed citations
4.
Asim, Muhammad Nabeel, et al.. (2025). RNA sequence analysis landscape: A comprehensive review of task types, databases, datasets, word embedding methods, and language models. Heliyon. 11(2). e41488–e41488. 2 indexed citations
5.
Asim, Muhammad Nabeel, et al.. (2025). PassionNet: An innovative framework for duplicate and conflicting requirements identification. Expert Systems with Applications. 293. 128684–128684.
6.
Ashraf, Muhammad, et al.. (2025). Phytohormone Networks Orchestrating Lateral Organ Adaptations to Hypoxia and Reoxygenation in Fruit Crops. Plant Cell & Environment. 49(1). 607–622. 1 indexed citations
7.
Wasim, Muhammad, et al.. (2025). Fake News Detection Landscape: Datasets, Data Modalities, AI Approaches, Their Challenges, and Future Perspectives. IEEE Access. 13. 54757–54778. 3 indexed citations
8.
9.
Asim, Muhammad Nabeel, et al.. (2024). CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder. Computers in Biology and Medicine. 176. 108538–108538. 5 indexed citations
10.
Asim, Muhammad Nabeel, et al.. (2024). RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles. IEEE Access. 12. 21472–21490. 1 indexed citations
11.
Asim, Muhammad Nabeel, et al.. (2023). NTpred: a robust and precise machine learning framework for in silico identification of Tyrosine nitration sites in protein sequences. Briefings in Functional Genomics. 23(2). 163–179.
12.
Asim, Muhammad Nabeel, et al.. (2023). EnML: Multi-label Ensemble Learning for Urdu Text Classification. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(9). 1–31. 9 indexed citations
13.
Asim, Muhammad Nabeel, Muhammad Ali Ibrahim, Christoph Zehe, et al.. (2022). BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction. Interdisciplinary Sciences Computational Life Sciences. 14(4). 841–862. 4 indexed citations
14.
Asim, Muhammad Nabeel, Muhammad Ali Ibrahim, Muhammad Imran Malik, et al.. (2022). Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction. Complex & Intelligent Systems. 9(1). 399–419. 5 indexed citations
15.
Asim, Muhammad Nabeel, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, & Sheraz Ahmed. (2022). LGCA-VHPPI: A local-global residue context aware viral-host protein-protein interaction predictor. PLoS ONE. 17(7). e0270275–e0270275. 8 indexed citations
16.
Asim, Muhammad Nabeel, Muhammad Ali Ibrahim, Muhammad Imran Malik, Andreas Dengel, & Sheraz Ahmed. (2022). ADH-PPI: An attention-based deep hybrid model for protein-protein interaction prediction. iScience. 25(10). 105169–105169. 18 indexed citations
17.
Khan, Muhammad Usman Ghani, et al.. (2022). EGD-SNet: A computational search engine for predicting an end-to-end machine learning pipeline for Energy Generation & Demand Forecasting. Applied Energy. 324. 119754–119754. 18 indexed citations
18.
Ashraf, Waqar Muhammad, Ghulam Moeen Uddin, Fahid Riaz, et al.. (2021). Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing. Alexandria Engineering Journal. 61(3). 1864–1880. 28 indexed citations
19.
Ibrahim, Muhammad Ali, et al.. (2021). GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification. Journal of Biomedical Informatics. 116. 103699–103699. 44 indexed citations
20.
Asim, Muhammad Nabeel, Muhammad Imran Malik, Christoph Zehe, et al.. (2020). A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC). IEEE Access. 9. 19379–19390. 12 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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