Mukhtaj Khan

1.4k total citations
45 papers, 948 citations indexed

About

Mukhtaj Khan is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mukhtaj Khan has authored 45 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Molecular Biology and 11 papers in Artificial Intelligence. Recurrent topics in Mukhtaj Khan's work include Machine Learning in Bioinformatics (11 papers), Genomics and Phylogenetic Studies (8 papers) and RNA and protein synthesis mechanisms (8 papers). Mukhtaj Khan is often cited by papers focused on Machine Learning in Bioinformatics (11 papers), Genomics and Phylogenetic Studies (8 papers) and RNA and protein synthesis mechanisms (8 papers). Mukhtaj Khan collaborates with scholars based in Pakistan, United Kingdom and China. Mukhtaj Khan's co-authors include Nadeem Iqbal, Maozhen Li, Salman Khan, Hafiz Farhan Maqbool, Dost Muhammad Khan, Muhammad Zakarya, Rahim Khan, Tahir Hussain, Ayaz Ali Khan and Sher Afzal Khan and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mukhtaj Khan

43 papers receiving 915 citations

Peers

Mukhtaj Khan

CNC

EEE

Antônio Augusto Fröhlich Brazil

You Xu United States

Amin Rezaeipanah Iran

Weiping Wang China

Pieter Audenaert Belgium

Florentin Ipate Romania

Ari Trachtenberg United States

Apostolos Dollas Greece

Sangyoon Oh South Korea

Antônio Augusto Fröhlich Brazil

Mukhtaj Khan

101 ×0.3

474 ×1.7

CNC

108 ×0.4

160 ×1.2

176 ×1.6

EEE

Citations per year, relative to Mukhtaj Khan Mukhtaj Khan (= 1×) peers Antônio Augusto Fröhlich

Countries citing papers authored by Mukhtaj Khan

Since Specialization

Citations

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

Fields of papers citing papers by Mukhtaj Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukhtaj Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Mukhtaj Khan. A scholar is included among the top collaborators of Mukhtaj Khan 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 Mukhtaj Khan. Mukhtaj Khan 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, Mukhtaj, et al.. (2024). Sequence-Based Intelligent Model for Identification of Tumor T Cell Antigens Using Fusion Features. IEEE Access. 12. 155040–155051. 6 indexed citations

Khan, Salman, et al.. (2024). Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification. Scientific Reports. 14(1). 9116–9116. 25 indexed citations

Mohammad, Fida, Mukhtaj Khan, Safdar Nawaz Khan Marwat, et al.. (2023). Text Augmentation-Based Model for Emotion Recognition Using Transformers. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 3523–3547. 7 indexed citations

Khan, Salman, Muhammad Abbas Khan, Mukhtaj Khan, et al.. (2023). Optimized Feature Learning for Anti-Inflammatory Peptide Prediction Using Parallel Distributed Computing. Applied Sciences. 13(12). 7059–7059. 23 indexed citations

Rahman, Izaz Ur, et al.. (2023). A neighborhood-aware multi-Markovian switching particle swarm optimization technique for solving complex and expensive problems. Soft Computing. 28(9-10). 6517–6536. 4 indexed citations

Ali, Sikandar, et al.. (2022). Detection of Deficiency of Nutrients in Grape Leaves Using Deep Network. Mathematical Problems in Engineering. 2022. 1–12. 23 indexed citations

Senan, Norhalina, et al.. (2022). Comparative Analysis of Recent Architecture of Convolutional Neural Network. Mathematical Problems in Engineering. 2022. 1–9. 35 indexed citations

Ali, Sikandar, et al.. (2022). Parallel Implementation of FEM Solver for Shared Memory Using OpenMP. Mathematical Problems in Engineering. 2022. 1–13. 2 indexed citations

Ali, Sikandar, et al.. (2022). BRScS Approach for Resolving Heterogeneity of Data from Multiple Resources at Semantic Level. Mathematical Problems in Engineering. 2022. 1–13. 1 indexed citations

10.

Khan, Mukhtaj, Nadeem Iqbal, Salman Khan, et al.. (2021). iEnhancer-DHF: Identification of Enhancers and Their Strengths Using Optimize Deep Neural Network With Multiple Features Extraction Methods. IEEE Access. 9. 40783–40796. 31 indexed citations

11.

Khan, Mukhtaj, Nadeem Iqbal, Salman Khan, et al.. (2020). Prediction of Recombination Spots Using Novel Hybrid Feature Extraction Method via Deep Learning Approach. Frontiers in Genetics. 11. 539227–539227. 29 indexed citations

12.

Khan, Ayaz Ali, Muhammad Zakarya, Rajkumar Buyya, et al.. (2019). An Energy and Performance Aware Consolidation Technique for Containerized Datacenters. IEEE Transactions on Cloud Computing. 9(4). 1305–1322. 48 indexed citations

13.

Khan, Mukhtaj, et al.. (2019). Energy harvesting based routing protocol for underwater sensor networks. PLoS ONE. 14(7). e0219459–e0219459. 27 indexed citations

14.

Iqbal, Nadeem, et al.. (2018). Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC. Journal of Theoretical Biology. 452. 1–9. 98 indexed citations

15.

Khan, Mukhtaj, et al.. (2017). Optimizing Hadoop Performance for Big Data Analytics in Smart Grid. Mathematical Problems in Engineering. 2017(1). 8 indexed citations

16.

Khan, Mukhtaj, et al.. (2016). Optimizing hadoop parameter settings with gene expression programming guided PSO. Brunel University Research Archive (BURA) (Brunel University London). 15 indexed citations

17.

Khan, Mukhtaj, et al.. (2016). Optimizing hadoop parameter settings with gene expression programming guided PSO. Concurrency and Computation Practice and Experience. 29(3). 19 indexed citations

18.

Li, Maozhen, et al.. (2016). gSched: a resource aware Hadoop scheduler for heterogeneous cloud computing environments. Concurrency and Computation Practice and Experience. 29(20). 8 indexed citations

19.

Liu, Yang, Maozhen Li, Mukhtaj Khan, & Man Qi. (2014). A MapReduce based distributed LSI for scalable information retrieval. Brunel University Research Archive (BURA) (Brunel University London). 33(2). 259–280. 9 indexed citations

20.

Khan, Mukhtaj, Yang Liu, & Maozhen Li. (2014). Data locality in Hadoop cluster systems. 376. 720–724. 9 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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