Muhammad Azeem

560 total citations
30 papers, 356 citations indexed

About

Muhammad Azeem is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Muhammad Azeem has authored 30 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Muhammad Azeem's work include Advanced Steganography and Watermarking Techniques (10 papers), Chaos-based Image/Signal Encryption (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Muhammad Azeem is often cited by papers focused on Advanced Steganography and Watermarking Techniques (10 papers), Chaos-based Image/Signal Encryption (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Muhammad Azeem collaborates with scholars based in China, Pakistan and Japan. Muhammad Azeem's co-authors include Zeeshan Shaukat, Tariq Mahmood, Allah Ditta, Faheem Akhtar, Jianqiang Li, Saqib Ali, Chuangbai Xiao, Khalil Ur Rehman, Taha Mansouri and Yan Pei and has published in prestigious journals such as IEEE Access, Cancers and Applied Sciences.

In The Last Decade

Muhammad Azeem

29 papers receiving 342 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 Azeem China 10 169 149 53 47 27 30 356
Suzana Loškovska North Macedonia 10 186 1.1× 206 1.4× 35 0.7× 36 0.8× 7 0.3× 43 400
Amin Golzari Oskouei Iran 10 187 1.1× 155 1.0× 39 0.7× 33 0.7× 4 0.1× 23 304
P. Kumaresan India 6 111 0.7× 125 0.8× 22 0.4× 42 0.9× 6 0.2× 24 264
Nidhi Gupta India 10 85 0.5× 195 1.3× 21 0.4× 28 0.6× 11 0.4× 36 400
Tieliang Gong China 13 325 1.9× 140 0.9× 23 0.4× 19 0.4× 20 0.7× 51 448
Jiana Meng China 9 275 1.6× 107 0.7× 11 0.2× 55 1.2× 6 0.2× 35 410
Chengcheng Li United States 9 250 1.5× 106 0.7× 11 0.2× 55 1.2× 6 0.2× 33 391
Bolei Xu China 10 179 1.1× 159 1.1× 21 0.4× 113 2.4× 14 0.5× 15 362

Countries citing papers authored by Muhammad Azeem

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Azeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Azeem

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Azeem. A scholar is included among the top collaborators of Muhammad Azeem 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 Azeem. Muhammad Azeem 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.
2.
Shaukat, Zeeshan, et al.. (2023). Efficient scheme to perform semantic segmentation on 3-D brain tumor using 3-D u-net architecture. Multimedia Tools and Applications. 83(9). 25121–25134. 1 indexed citations
3.
Ditta, Allah, et al.. (2020). A secure and size efficient algorithm to enhance data hiding capacity and security of cover text by using unicode. Journal of King Saud University - Computer and Information Sciences. 34(5). 2180–2191. 9 indexed citations
4.
Ali, Saqib, et al.. (2020). An Effective and Improved CNN-ELM Classifier for Handwritten Digits Recognition and Classification. Symmetry. 12(10). 1742–1742. 30 indexed citations
5.
Imran, Azhar, Sher Muhammad Daudpota, Khalil Ur Rehman, et al.. (2020). Introducing robustness in DBR routing protocol. International Journal of Communication Networks and Distributed Systems. 24(3). 316–316. 7 indexed citations
6.
Shaukat, Zeeshan, et al.. (2020). Sentiment analysis on IMDB using lexicon and neural networks. SN Applied Sciences. 2(2). 61 indexed citations
7.
Akhtar, Faheem, Jianqiang Li, Yan Pei, et al.. (2020). Diagnosis of large-for-gestational-age infants using a semi-supervised feature learned from expert and data. Multimedia Tools and Applications. 79(45-46). 34047–34077. 2 indexed citations
8.
Akhtar, Faheem, et al.. (2019). Diagnosis and Prediction of Large-for-Gestational-Age Fetus Using the Stacked Generalization Method. Applied Sciences. 9(20). 4317–4317. 19 indexed citations
9.
Sajjad, Muhammad, et al.. (2019). Hate Speech Detection using Fusion Approach. 251–255. 26 indexed citations
10.
11.
Azeem, Muhammad, Jingsha He, Allah Ditta, Faheem Akhtar, & Sher Muhammad Daudpota. (2019). A novel approach to secret data concealment with high cover text capacity and security. International Journal of Electronic Security and Digital Forensics. 12(1). 77–77. 3 indexed citations
12.
Akhtar, Faheem, Jianqiang Li, Muhammad Azeem, et al.. (2019). Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators. The Journal of Supercomputing. 76(8). 6219–6237. 23 indexed citations
13.
Azeem, Muhammad, Jingsha He, Allah Ditta, & Faheem Akhtar. (2019). A Novel Approach to Secret Data Concealment with High Cover Text Capacity and Security. International Journal of Electronic Security and Digital Forensics. 12(1). 1–1. 2 indexed citations
14.
Mahmood, Tariq, et al.. (2019). 3D Shape Retrieval using Bag of Word Approaches. 1–7. 3 indexed citations
15.
Akhtar, Faheem, et al.. (2018). A Cryptographic Data Hiding Algorithm with High Cover Text Capacity. International Journal of Electronic Security and Digital Forensics. 11(2). 1–1. 1 indexed citations
16.
Shaukat, Zeeshan, Juan Fang, Muhammad Azeem, Faheem Akhtar, & Saqib Ali. (2018). Cloud Based Face Recognition for Google Glass. 7 indexed citations
17.
Yu, Haiyang, et al.. (2018). Wireless ad hoc network: detection of malicious node by using neighbour-based authentication approach. International Journal of Wireless and Mobile Computing. 14(1). 16–16. 3 indexed citations
18.
Azeem, Muhammad, et al.. (2018). Information Hiding: A Novel Algorithm for Enhancement of Cover Text Capacity by Using Unicode Characters. International Journal of Information and Computer Security. 10(1). 1–1. 2 indexed citations
19.
Ditta, Allah, et al.. (2018). Information hiding: Arabic text steganography by using Unicode characters to hide secret data. International Journal of Electronic Security and Digital Forensics. 10(1). 61–61. 13 indexed citations
20.
Yu, Haiyang, et al.. (2017). Information hiding: Arabic text steganography by using Unicode characters to hide secret data. International Journal of Electronic Security and Digital Forensics. 10(1). 61–61. 7 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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