Jamal Uddin

775 total citations
22 papers, 515 citations indexed

About

Jamal Uddin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jamal Uddin has authored 22 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Jamal Uddin's work include Chaos-based Image/Signal Encryption (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Digital Media Forensic Detection (5 papers). Jamal Uddin is often cited by papers focused on Chaos-based Image/Signal Encryption (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Digital Media Forensic Detection (5 papers). Jamal Uddin collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Jamal Uddin's co-authors include Muhammad Ibn Ibrahimy, Quan Zou, Mamun Bin Ibne Reaz, Shahid Akbar, Ali Raza, Muhammad A. Hasan, Ashfaq Ahmad, Mustafa Mat Deris, Rozaida Ghazali and Abdullah Almuhaimeed and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Jamal Uddin

21 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamal Uddin Pakistan 12 137 90 85 76 71 22 515
Nicola Paoletti United Kingdom 10 66 0.5× 39 0.4× 42 0.5× 9 0.1× 15 0.2× 36 312
Majdi Khalid Saudi Arabia 14 78 0.6× 10 0.1× 34 0.4× 68 0.9× 48 0.7× 42 405
Hongwei Huo China 13 192 1.4× 17 0.2× 40 0.5× 146 1.9× 31 0.4× 62 638
Oktay Yıldız Türkiye 13 10 0.1× 33 0.4× 41 0.5× 56 0.7× 80 1.1× 45 420
Mohammed Amine Chikh Algeria 10 21 0.2× 19 0.2× 60 0.7× 62 0.8× 14 0.2× 34 279
Jianhua Chen China 10 20 0.1× 49 0.5× 52 0.6× 98 1.3× 59 0.8× 57 321
Qiang Zhu China 12 81 0.6× 8 0.1× 21 0.2× 27 0.4× 15 0.2× 52 333
Swee Chuan Tan Singapore 9 53 0.4× 7 0.1× 63 0.7× 43 0.6× 103 1.5× 21 382
Abdul Jaleel Pakistan 8 28 0.2× 37 0.4× 39 0.5× 53 0.7× 11 0.2× 26 277
Nesma Settouti Algeria 10 26 0.2× 11 0.1× 45 0.5× 82 1.1× 14 0.2× 38 341

Countries citing papers authored by Jamal Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Jamal Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamal Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Jamal Uddin. A scholar is included among the top collaborators of Jamal Uddin 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 Jamal Uddin. Jamal Uddin 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.
Rahman, Shahid, Jamal Uddin, Hameed Hussain, et al.. (2025). A novel and efficient digital image steganography technique using least significant bit substitution. Scientific Reports. 15(1). 107–107. 4 indexed citations
2.
3.
Uddin, Jamal, et al.. (2025). Improving lung cancer detection with enhanced convolutional sequential networks. Scientific Reports. 15(1). 32099–32099.
4.
Raza, Ali, et al.. (2024). AIPs-DeepEnC-GA: Predicting anti-inflammatory peptides using embedded evolutionary and sequential feature integration with genetic algorithm based deep ensemble model. Chemometrics and Intelligent Laboratory Systems. 254. 105239–105239. 30 indexed citations
5.
Rahman, Shahid, Jamal Uddin, Muhammad Zakarya, et al.. (2023). A Comprehensive Study of Digital Image Steganographic Techniques. IEEE Access. 11. 6770–6791. 14 indexed citations
6.
Rahman, Shahid, et al.. (2023). Multi Perspectives Steganography Algorithm for Color Images on Multiple-Formats. Sustainability. 15(5). 4252–4252. 2 indexed citations
7.
Rahman, Shahid, Jamal Uddin, Aftab Ahmed, et al.. (2023). A Huffman code LSB based image steganography technique using multi-level encryption and achromatic component of an image. Scientific Reports. 13(1). 14183–14183. 13 indexed citations
8.
Raza, Ali, Jamal Uddin, Abdullah Almuhaimeed, et al.. (2023). AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional Networks. Journal of Chemical Information and Modeling. 63(21). 6537–6554. 87 indexed citations
9.
Uddin, Jamal, et al.. (2023). AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Journal of Chemical Information and Modeling. 63(3). 826–834. 28 indexed citations
10.
Rahman, Shahid, Jamal Uddin, Habib Ullah Khan, et al.. (2022). A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method. IEEE Access. 10. 124053–124075. 15 indexed citations
11.
Uddin, Jamal, Farman Ali, Ashfaq Ahmad, et al.. (2022). Prediction of antifreeze proteins using machine learning. Scientific Reports. 12(1). 20672–20672. 28 indexed citations
12.
Uddin, Jamal, et al.. (2022). Rough set based information theoretic approach for clustering uncertain categorical data. PLoS ONE. 17(5). e0265190–e0265190. 1 indexed citations
13.
Uddin, Jamal, et al.. (2022). Comparative analysis of the existing methods for prediction of antifreeze proteins. Chemometrics and Intelligent Laboratory Systems. 232. 104729–104729. 27 indexed citations
14.
Uddin, Jamal, et al.. (2021). A novel rough value set categorical clustering technique for supplier base management. Computing. 103(9). 2061–2091. 3 indexed citations
15.
Akhtar, Tanveer, et al.. (2019). Substitution box design based on chaotic maps and cuckoo search algorithm. 1–7. 9 indexed citations
16.
Zeb, Asim, Qurban Ali, Muhammad Qaiser Saleem, et al.. (2019). A Proposed IoT-Enabled Smart Waste Bin Management System and Efficient Route Selection. Journal of Computer Networks and Communications. 2019. 1–9. 31 indexed citations
17.
Uddin, Jamal, Rozaida Ghazali, & Mustafa Mat Deris. (2017). An Empirical Analysis of Rough Set Categorical Clustering Techniques. PLoS ONE. 12(1). e0164803–e0164803. 10 indexed citations
18.
Uddin, Jamal, Rozaida Ghazali, Mustafa Mat Deris, Rashid Naseem, & Habib Shah. (2016). A survey on bug prioritization. Artificial Intelligence Review. 47(2). 145–180. 69 indexed citations
19.
Reaz, Mamun Bin Ibne, et al.. (2009). RFID Reader Architectures and Applications. Microwave journal. 52(12). 24–34. 4 indexed citations
20.
Hasan, Muhammad A., et al.. (2009). Detection and Processing Techniques of FECG Signal for Fetal Monitoring. Biological Procedures Online. 11(1). 263–95. 112 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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