Muhammad Mateen

1.5k total citations · 2 hit papers
20 papers, 1.0k citations indexed

About

Muhammad Mateen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Information Systems. According to data from OpenAlex, Muhammad Mateen has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Information Systems. Recurrent topics in Muhammad Mateen's work include Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (3 papers) and Retinal Diseases and Treatments (3 papers). Muhammad Mateen is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (3 papers) and Retinal Diseases and Treatments (3 papers). Muhammad Mateen collaborates with scholars based in China, Pakistan and South Korea. Muhammad Mateen's co-authors include Nasrullah Nasrullah, Junhao Wen, Song Sun, Jun Sang, Shaukat Hayat, Haibo Hu, Mohammad S. Alam, Bin Cai, Mehdi Hassan and Nasrullah Nasrullah and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.

In The Last Decade

Muhammad Mateen

19 papers receiving 978 citations

Hit Papers

Fundus Image Classification Using VGG-19 Architecture wit... 2018 2026 2020 2023 2018 2019 100 200 300 400
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.

  1. Fundus Image Classification Using VGG-19 Architecture with PCA and SVD
    2018 444 citations Muhammad Mateen, Junhao Wen et al. Symmetry profile →
  2. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies
    2019 236 citations Nasrullah Nasrullah, Jun Sang et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Mateen China 11 497 263 214 169 146 20 1.0k
Nasrullah Nasrullah China 7 509 1.0× 240 0.9× 211 1.0× 156 0.9× 170 1.2× 9 904
Alhadi Bustamam Indonesia 16 377 0.8× 247 0.9× 432 2.0× 70 0.4× 45 0.3× 142 1.2k
Alaa S. Al‐Waisy Iraq 16 320 0.6× 261 1.0× 250 1.2× 79 0.5× 28 0.2× 30 915
Devvi Sarwinda Indonesia 14 280 0.6× 227 0.9× 330 1.5× 36 0.2× 36 0.2× 80 854
Samir Elmougy Egypt 17 211 0.4× 235 0.9× 338 1.6× 42 0.2× 19 0.1× 70 935
Satya Prakash Ghrera India 13 173 0.3× 740 2.8× 174 0.8× 74 0.4× 13 0.1× 40 1.1k
Tripty Singh India 17 276 0.6× 393 1.5× 346 1.6× 10 0.1× 24 0.2× 141 1.1k
Taye Girma Debelee Ethiopia 17 268 0.5× 241 0.9× 417 1.9× 7 0.0× 38 0.3× 34 963
Sayan Chakraborty India 16 129 0.3× 403 1.5× 200 0.9× 15 0.1× 28 0.2× 93 1.0k

Countries citing papers authored by Muhammad Mateen

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Mateen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Mateen

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Mateen. A scholar is included among the top collaborators of Muhammad Mateen 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 Mateen. Muhammad Mateen 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.
Wang, Jingtao, Muhammad Mateen, Dehui Xiang, et al.. (2025). Task Augmentation-Based Meta-Learning Segmentation Method for Retinopathy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8583–8597.
2.
Mateen, Muhammad, et al.. (2024). Hybrid Deep Learning Framework for Melanoma Diagnosis Using Dermoscopic Medical Images. Diagnostics. 14(19). 2242–2242. 3 indexed citations
3.
Chen, Xinjian, Menghan Li, Weifang Zhu, et al.. (2024). Two‐stage adversarial learning based unsupervised domain adaptation for retinal OCT segmentation. Medical Physics. 51(8). 5374–5385. 3 indexed citations
4.
Mateen, Muhammad, et al.. (2023). PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction. Alexandria Engineering Journal. 78. 406–418. 52 indexed citations
5.
Mateen, Muhammad, et al.. (2022). Deep Learning Approach for Automatic Microaneurysms Detection. Sensors. 22(2). 542–542. 13 indexed citations
6.
Malik, Tauqeer Safdar, et al.. (2022). Comparison of Blackhole and Wormhole Attacks in Cloud MANET Enabled IoT for Agricultural Field Monitoring. Security and Communication Networks. 2022. 1–18. 10 indexed citations
7.
Sun, Song, et al.. (2022). Effort-aware cross-project just-in-time defect prediction framework for mobile apps. Frontiers of Computer Science. 16(6). 13 indexed citations
8.
Hayat, Shaukat, et al.. (2021). Entropy information‐based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition. IET Computer Vision. 15(3). 165–180. 6 indexed citations
9.
Sun, Song, Bo Zhao, Muhammad Mateen, Xin Chen, & Junhao Wen. (2021). Mask guided diverse face image synthesis. Frontiers of Computer Science. 16(3). 3 indexed citations
10.
Mateen, Muhammad, Junhao Wen, Mehdi Hassan, et al.. (2020). Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics. IEEE Access. 8. 48784–48811. 79 indexed citations
11.
Mateen, Muhammad, Junhao Wen, Nasrullah Nasrullah, Song Sun, & Shaukat Hayat. (2020). Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks. Complexity. 2020. 1–11. 82 indexed citations
12.
Akbar, Muhammad Azeem, et al.. (2020). A Self-Adaptive Resource Provisioning Approach using Fuzzy Logic for Cloud-Based Applications. International Journal of Computing and Digital Systems. 9(3). 341–348. 2 indexed citations
13.
Sun, Song, Bo Zhao, Xin Chen, Muhammad Mateen, & Junhao Wen. (2019). Channel Attention Networks for Image Translation. IEEE Access. 7. 95751–95761. 6 indexed citations
14.
Nasrullah, Nasrullah, Jun Sang, Mohammad S. Alam, et al.. (2019). Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies. Sensors. 19(17). 3722–3722. 236 indexed citations breakdown →
15.
Hayat, Shaukat, Kun She, Muhammad Mateen, & Yu Yao. (2019). Deep CNN-based Features for Hand-Drawn Sketch Recognition via Transfer Learning Approach. International Journal of Advanced Computer Science and Applications. 10(9). 4 indexed citations
16.
Nasrullah, Nasrullah, Jun Sang, Muhammad Mateen, et al.. (2019). Reversible data hiding in compressed and encrypted images by using Kd-tree. Multimedia Tools and Applications. 78(13). 17535–17554. 19 indexed citations
17.
Mateen, Muhammad, et al.. (2018). The Role of Hyperspectral Imaging: A Literature Review. International Journal of Advanced Computer Science and Applications. 9(8). 19 indexed citations
18.
Akbar, Muhammad Azeem, Nasrullah Nasrullah, Muhammad Shafiq, et al.. (2018). AZ-Model of software requirements change management in global software development. 1–6. 27 indexed citations
19.
Mateen, Muhammad, et al.. (2018). Fundus Image Classification Using VGG-19 Architecture with PCA and SVD. Symmetry. 11(1). 1–1. 444 indexed citations breakdown →
20.
Mateen, Muhammad, et al.. (2018). Text Clustering using Ensemble Clustering Technique. International Journal of Advanced Computer Science and Applications. 9(9). 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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