Muhammad Muneeb

1.8k total citations · 2 hit papers
30 papers, 1.2k citations indexed

About

Muhammad Muneeb is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Information Systems. According to data from OpenAlex, Muhammad Muneeb has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 6 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Muhammad Muneeb's work include Blockchain Technology Applications and Security (6 papers), Energy Load and Power Forecasting (5 papers) and IoT and Edge/Fog Computing (4 papers). Muhammad Muneeb is often cited by papers focused on Blockchain Technology Applications and Security (6 papers), Energy Load and Power Forecasting (5 papers) and IoT and Edge/Fog Computing (4 papers). Muhammad Muneeb collaborates with scholars based in Pakistan, United Arab Emirates and South Korea. Muhammad Muneeb's co-authors include Aneela Zameer, Farah Shahid, Irfan Ul Haq, Muhammad Irfan, Andreas Henschel, Omair Shafiq, Sikander M. Mirza, Muhammad Asif Zahoor Raja, Kwangman Ko and Young-Hoon Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Muhammad Muneeb

28 papers receiving 1.2k 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.

Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM

2020 484 citations Farah Shahid, Aneela Zameer et al. Chaos Solitons & Fractals profile →
A novel genetic LSTM model for wind power forecast

2021 368 citations Farah Shahid, Aneela Zameer et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Muneeb Pakistan	11	425	381	184	150	143	30	1.2k
Choujun Zhan China	17	173 0.4×	236 0.6×	96 0.5×	154 1.0×	61 0.4×	86	1.2k
Farah Shahid Pakistan	8	636 1.5×	470 1.2×	46 0.3×	149 1.0×	136 1.0×	12	1.2k
Ibrahim Gad Egypt	16	84 0.2×	345 0.9×	79 0.4×	169 1.1×	129 0.9×	49	1.1k
Zlatan Car Croatia	18	135 0.3×	234 0.6×	39 0.2×	84 0.6×	180 1.3×	100	1.1k
Hongping Hu China	18	132 0.3×	278 0.7×	36 0.2×	97 0.6×	96 0.7×	56	934
Zulkefli Mansor Malaysia	13	239 0.6×	238 0.6×	134 0.7×	45 0.3×	18 0.1×	67	815
Jaroslav Frnda Slovakia	22	223 0.5×	241 0.6×	118 0.6×	18 0.1×	54 0.4×	107	1.2k
Salman Yussof Malaysia	18	227 0.5×	174 0.5×	227 1.2×	32 0.2×	41 0.3×	113	988
Raju Kannadasan India	22	826 1.9×	167 0.4×	70 0.4×	29 0.2×	33 0.2×	71	1.6k
Daniel Gutiérrez Reina Spain	24	435 1.0×	266 0.7×	141 0.8×	62 0.4×	53 0.4×	96	1.9k

Countries citing papers authored by Muhammad Muneeb

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Muneeb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Muneeb

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Muneeb. A scholar is included among the top collaborators of Muhammad Muneeb 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 Muneeb. Muhammad Muneeb 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

Khan, Muhammad Iftikhar, Tauseef Anwar, Ashfaq Ahmad, et al.. (2024). A review of photocatalytic CO2 reduction: exploring sustainable carbon emission mitigation from thermodynamics to kinetics and strategies for enhanced efficiency. Journal of the Korean Ceramic Society. 61(3). 367–390. 8 indexed citations

Muneeb, Muhammad, et al.. (2023). Saliency Prediction in Uncategorized Videos Based on Audio-Visual Correlation. IEEE Access. 11. 15460–15470. 1 indexed citations

Muneeb, Muhammad, et al.. (2023). A physically unclonable function architecture with multiple responses on FPGA. International Journal of Embedded Systems. 16(1). 67–74.

Javed, Sajid, et al.. (2023). DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs. Journal of Digital Imaging. 36(4). 1653–1662. 9 indexed citations

Ahmad, Ashfaq, Imran Zada, Amir Muhammad Afzal, et al.. (2023). Improvement of the Self-Controlled Hyperthermia Applications by Varying Gadolinium Doping in Lanthanum Strontium Manganite Nanoparticles. Molecules. 28(23). 7860–7860. 3 indexed citations

Zameer, Aneela, et al.. (2023). Short-term solar energy forecasting: Integrated computational intelligence of LSTMs and GRU. PLoS ONE. 18(10). e0285410–e0285410. 25 indexed citations

Muneeb, Muhammad. (2022). LSTM input timestep optimization using simulated annealing for wind power predictions. PLoS ONE. 17(10). e0275649–e0275649. 5 indexed citations

Haq, Irfan Ul, et al.. (2022). An attention-based recurrent learning model for short-term travel time prediction. PLoS ONE. 17(12). e0278064–e0278064. 5 indexed citations

Muneeb, Muhammad, Samuel F. Feng, & Andreas Henschel. (2022). Heritability, genetic variation, and the number of risk SNPs effect on deep learning and polygenic risk scores AUC. 65–71. 2 indexed citations

10.

Haq, Irfan Ul, et al.. (2022). Travel Time Prediction Using Hybridized Deep Feature Space and Machine Learning Based Heterogeneous Ensemble. IEEE Access. 10. 98127–98139. 4 indexed citations

11.

Muneeb, Muhammad, Samuel F. Feng, & Andreas Henschel. (2022). Transfer learning for genotype–phenotype prediction using deep learning models. BMC Bioinformatics. 23(1). 511–511. 7 indexed citations

12.

Muneeb, Muhammad, Samuel F. Feng, & Andreas Henschel. (2022). Can We Convert Genotype Sequences Into Images for Cases/Controls Classification?. SHILAP Revista de lepidopterología. 2. 914435–914435. 1 indexed citations

13.

Muneeb, Muhammad, Samuel F. Feng, & Andreas Henschel. (2022). Deep Learning Pipeline for Image Classification on Mobile Phones. arXiv (Cornell University). 1–20. 3 indexed citations

14.

Ashraf, Waqar Muhammad, Ghulam Moeen Uddin, Muhammad Farooq, et al.. (2021). Construction of Operational Data-Driven Power Curve of a Generator by Industry 4.0 Data Analytics. Energies. 14(5). 1227–1227. 24 indexed citations

15.

Khan, Misha Urooj, et al.. (2021). Nanotechnology (45 nm) based Low power and High performance 4x4 Multiplier based on Six Transistors (6T) Full Adder & 2T XNOR Gate. 1–6.

16.

Muneeb, Muhammad & Andreas Henschel. (2021). Correction to: Eye‑color and Type‑2 diabetes phenotype prediction from genotype data using deep learning methods. BMC Bioinformatics. 22(1). 319–319. 4 indexed citations

17.

Muneeb, Muhammad, et al.. (2021). SmartCon: A Blockchain-Based Framework for Smart Contracts and Transaction Management. IEEE Access. 10. 23687–23699. 34 indexed citations

18.

Muneeb, Muhammad & Andreas Henschel. (2021). Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods. BMC Bioinformatics. 22(1). 198–198. 10 indexed citations

19.

Shahid, Farah, Aneela Zameer, & Muhammad Muneeb. (2020). Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM. Chaos Solitons & Fractals. 140. 110212–110212. 484 indexed citations breakdown →

20.

Muneeb, Muhammad, et al.. (2018). A Comparative Analysis of DAG-Based Blockchain Architectures. 27–34. 95 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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