Muhammad Hussain

4.8k total citations
173 papers, 3.2k citations indexed

About

Muhammad Hussain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Muhammad Hussain has authored 173 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 25 papers in Cognitive Neuroscience. Recurrent topics in Muhammad Hussain's work include Digital Media Forensic Detection (30 papers), EEG and Brain-Computer Interfaces (23 papers) and Advanced Steganography and Watermarking Techniques (22 papers). Muhammad Hussain is often cited by papers focused on Digital Media Forensic Detection (30 papers), EEG and Brain-Computer Interfaces (23 papers) and Advanced Steganography and Watermarking Techniques (22 papers). Muhammad Hussain collaborates with scholars based in Saudi Arabia, Pakistan and United States. Muhammad Hussain's co-authors include George Bebis, Ghulam Muhammad, Hatim Aboalsamh, Aamir Saeed Malik, Nidal Kamel, Hafeez Ullah Amin, Zulfiqar Habib, Weng-Tink Chooi, Muneer Al-Hammadi and Nasreen Badruddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Muhammad Hussain

162 papers receiving 3.0k 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 Hussain Saudi Arabia 30 1.5k 564 526 441 392 173 3.2k
Siome Goldenstein Brazil 24 1.2k 0.8× 299 0.5× 138 0.3× 131 0.3× 266 0.7× 77 2.0k
Rui Wang China 30 1.4k 0.9× 731 1.3× 71 0.1× 531 1.2× 522 1.3× 235 3.3k
Preetha Phillips United States 34 1.4k 0.9× 1.3k 2.3× 310 0.6× 243 0.6× 202 0.5× 58 4.0k
Mohammad Shorif Uddin Bangladesh 26 1.3k 0.9× 495 0.9× 163 0.3× 410 0.9× 135 0.3× 156 3.2k
Ying Wen China 21 1.0k 0.7× 653 1.2× 178 0.3× 464 1.1× 123 0.3× 82 2.1k
Malay Kishore Dutta India 30 1.3k 0.9× 613 1.1× 158 0.3× 102 0.2× 428 1.1× 320 4.1k
Yurong Li China 33 540 0.4× 490 0.9× 294 0.6× 99 0.2× 99 0.3× 219 4.0k
Paolo Napoletano Italy 26 1.4k 0.9× 655 1.2× 157 0.3× 202 0.5× 138 0.4× 108 2.7k
Samo Ribarič Slovenia 27 651 0.4× 219 0.4× 219 0.4× 63 0.1× 475 1.2× 143 2.5k
Eduardo Ros Spain 34 948 0.6× 424 0.8× 956 1.8× 219 0.5× 113 0.3× 144 3.5k

Countries citing papers authored by Muhammad Hussain

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Hussain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Hussain

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Hussain. A scholar is included among the top collaborators of Muhammad Hussain 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 Hussain. Muhammad Hussain 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.
Ahmad, Ishtiaq, Malik Adil Nawaz, Gaopeng Zhang, et al.. (2025). Effects of mashed potato on techno-functional characteristics of set hybrid yogurt. Journal of Food Science and Technology. 63(2). 251–262. 3 indexed citations
2.
Hussain, Muhammad, et al.. (2024). HETEROSIS AND GENETIC PARAMETERS FOR YIELD AND YIELD COMPONENTS IN MAIZE USING HALF DIALLEL CROSS. IRAQI JOURNAL OF AGRICULTURAL SCIENCES. 55(5). 1859–1869. 1 indexed citations
3.
4.
Zhao, Jiahui, Yixin Hu, Chao Qian, et al.. (2023). The Interaction between Mushroom Polysaccharides and Gut Microbiota and Their Effect on Human Health: A Review. Biology. 12(1). 122–122. 45 indexed citations
5.
Hussain, Muhammad, et al.. (2023). Classification of Epileptic Seizure Types Using Multiscale Convolutional Neural Network and Long Short-Term Memory. Mathematics. 11(17). 3656–3656. 3 indexed citations
6.
Wang, Wan, Cong Xu, Qingyun Wang, et al.. (2023). Protective Effect of Polyphenols, Protein, Peptides, and Polysaccharides on Alcoholic Liver Disease: A Review of Research Status and Molecular Mechanisms. Journal of Agricultural and Food Chemistry. 22 indexed citations
7.
Zhao, Jiahui, Rongjun He, Hao Zhong, et al.. (2023). Synergistic Antitumor Effect of Grifola frondose Polysaccharide—Protein Complex in Combination with Cyclophosphamide in H22 Tumor-Bearing Mice. Molecules. 28(7). 2954–2954. 1 indexed citations
8.
Zhong, Hao, Jie Xu, Muhammad Hussain, et al.. (2023). Protective Effect of Anthocyanins against Neurodegenerative Diseases through the Microbial-Intestinal-Brain Axis: A Critical Review. Nutrients. 15(3). 496–496. 41 indexed citations
9.
Hussain, Muhammad, et al.. (2023). Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis. Mathematics. 11(2). 307–307. 2 indexed citations
10.
Hussain, Muhammad, et al.. (2023). EEG-Based Person Identification and Authentication Using Deep Convolutional Neural Network. Axioms. 12(1). 74–74. 16 indexed citations
11.
Hussain, Muhammad, et al.. (2022). Deep Red Lesion Classification for Early Screening of Diabetic Retinopathy. Mathematics. 10(5). 686–686. 4 indexed citations
12.
Mahmood, Khalid, et al.. (2015). SPECTRUM OF CLINICAL AND HAEMATOLOGICAL FINDINGS IN MALARIA. SHILAP Revista de lepidopterología.
13.
Ullah, Ihsan, Hatim Aboalsamh, Muhammad Hussain, Ghulam Muhammad, & George Bebis. (2014). Gender Classification from Facial Images Using Texture Descriptors. 網際網路技術學刊. 15(5). 801–811. 6 indexed citations
14.
Hussain, Muhammad. (2013). Volume and Normal Field Based Simplification of Polygonal Models. Journal of information science and engineering. 29. 267–279. 1 indexed citations
15.
Muhammad, Ghulam, et al.. (2012). Race recognition from face images using Weber local descriptor. International Conference on Systems, Signals and Image Processing. 421–424. 7 indexed citations
16.
Hussain, Muhammad, et al.. (2012). Automatic mass detection in mammograms using multiscale spatial weber local descriptor. International Conference on Systems, Signals and Image Processing. 288–291. 5 indexed citations
17.
Habib, Tariq, et al.. (2010). Traditional application of the plants, (fence and fuel wood), used in Leepa Valley, Muzaffarabad Azad Kashmir.. AMERICAN-EURASIAN JOURNAL OF SUSTAINABLE AGRICULTURE. 4(2). 160–163. 1 indexed citations
18.
Hussain, Muhammad, et al.. (2010). Effect of bio-fertilizers on growth, yield and economics of field pea (Pisum sativum L.).. INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES. 6(1). 65–66. 9 indexed citations
19.
Hussain, Muhammad & Yoshihiro Okada. (2005). LOD Modelling of polygonal models. 14(3). 325–343. 3 indexed citations
20.
Hussain, Muhammad, Y. Okada, & Koichi Niijima. (2004). User-controlled simplification of polygonal models. 918–925. 2 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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