Alam Noor

772 total citations
27 papers, 544 citations indexed

About

Alam Noor is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Alam Noor has authored 27 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 6 papers in Aerospace Engineering. Recurrent topics in Alam Noor's work include IoT and Edge/Fog Computing (5 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Neural Network Applications (4 papers). Alam Noor is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Brain Tumor Detection and Classification (4 papers) and Advanced Neural Network Applications (4 papers). Alam Noor collaborates with scholars based in China, Portugal and Saudi Arabia. Alam Noor's co-authors include Anis Koubâa, Songhao Piao, Yaqin Zhao, Rahim Khan, Longwen Wu, Kai Li, Wei Ni, Bilel Benjdira, Abbas Jamalipour and Xin Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Alam Noor

25 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alam Noor China 13 179 123 103 97 79 27 544
M. Monica Subashini India 12 387 2.2× 327 2.7× 201 2.0× 52 0.5× 154 1.9× 60 865
Samah A. Gamel Egypt 14 131 0.7× 96 0.8× 130 1.3× 45 0.5× 29 0.4× 32 553
Laura Falaschetti Italy 15 127 0.7× 33 0.3× 103 1.0× 66 0.7× 132 1.7× 59 693
Fardin Abdali-Mohammadi Iran 15 187 1.0× 20 0.2× 135 1.3× 36 0.4× 163 2.1× 44 573
Md Maruf Hossain Shuvo United States 12 103 0.6× 20 0.2× 111 1.1× 61 0.6× 50 0.6× 26 469
Dushyant Kumar Singh India 14 325 1.8× 28 0.2× 157 1.5× 36 0.4× 23 0.3× 64 579
Vinayak K. Bairagi India 14 201 1.1× 92 0.7× 88 0.9× 14 0.1× 202 2.6× 68 568
Fawad Fawad Pakistan 11 108 0.6× 19 0.2× 75 0.7× 55 0.6× 150 1.9× 37 817
Deepak Ghimire South Korea 13 492 2.7× 22 0.2× 146 1.4× 47 0.5× 59 0.7× 36 843
Sumeet Saurav India 13 319 1.8× 44 0.4× 145 1.4× 46 0.5× 51 0.6× 52 535

Countries citing papers authored by Alam Noor

Since Specialization
Citations

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

Fields of papers citing papers by Alam Noor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alam Noor

This figure shows the co-authorship network connecting the top 25 collaborators of Alam Noor. A scholar is included among the top collaborators of Alam Noor 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 Alam Noor. Alam Noor 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.
Noor, Alam, Lúıs Almeida, Mohamed Daoudi, Kai Li, & Eduardo Tovar. (2025). Sheep Facial Pain Assessment Under Weighted Graph Neural Networks. SPIRE - Sciences Po Institutional REpository. 1–9.
2.
Ullah, Rahim, et al.. (2024). Advanced federated ensemble internet of learning approach for cloud based medical healthcare monitoring system. Scientific Reports. 14(1). 26068–26068. 12 indexed citations
3.
Noor, Alam, et al.. (2024). Fusion flow-enhanced graph pooling residual networks for Unmanned Aerial Vehicles surveillance in day and night dual visions. Engineering Applications of Artificial Intelligence. 136. 108959–108959. 2 indexed citations
4.
Noor, Alam, Murray J. Corke, & Eduardo Tovar. (2023). Sheep health behavior analysis in machine learning: A short comprehensive survey. SHILAP Revista de lepidopterología. 6. 100366–100366. 5 indexed citations
5.
Li, Kai, Wei Ni, Xin Yuan, Alam Noor, & Abbas Jamalipour. (2023). Exploring Graph Neural Networks for Joint Cruise Control and Task Offloading in UAV-enabled Mobile Edge Computing. 1–6. 4 indexed citations
6.
Li, Kai, Wei Ni, Xin Yuan, Alam Noor, & Abbas Jamalipour. (2022). Deep-Graph-Based Reinforcement Learning for Joint Cruise Control and Task Offloading for Aerial Edge Internet of Things (EdgeIoT). IEEE Internet of Things Journal. 9(21). 21676–21686. 51 indexed citations
7.
Khan, Rahim, Qiang Yang, Ahsan Bin Tufail, Alam Noor, & Yongkui Ma. (2021). Classification of Digital Modulated COVID‐19 Images in the Presence of Channel Noise Using 2D Convolutional Neural Networks. Wireless Communications and Mobile Computing. 2021(1). 5 indexed citations
8.
Khan, Rahim, Qiang Yang, Inam Ullah, et al.. (2021). 3D convolutional neural networks based automatic modulation classification in the presence of channel noise. IET Communications. 16(5). 497–509. 37 indexed citations
9.
Piao, Songhao, et al.. (2021). MIRAU-Net: An improved neural network based on U-Net for gliomas segmentation. Signal Processing Image Communication. 101. 116553–116553. 19 indexed citations
10.
Noor, Alam, Kai Li, Adel Ammar, et al.. (2021). A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions. 221–231. 6 indexed citations
11.
Zhao, Yaqin, et al.. (2021). Multi-modal Medical Image Fusion Technique to Improve Glioma Classification Accuracy. 321–325. 2 indexed citations
12.
Ijaz, Muhammad, Gang Li, Ling Lin, et al.. (2021). Integration and Applications of Fog Computing and Cloud Computing Based on the Internet of Things for Provision of Healthcare Services at Home. Electronics. 10(9). 1077–1077. 43 indexed citations
13.
Ijaz, Muhammad, Gang Li, Huiquan Wang, et al.. (2020). Intelligent Fog-Enabled Smart Healthcare System for Wearable Physiological Parameter Detection. Electronics. 9(12). 2015–2015. 18 indexed citations
14.
Noor, Alam, et al.. (2020). Automated sheep facial expression classification using deep transfer learning. Computers and Electronics in Agriculture. 175. 105528–105528. 67 indexed citations
15.
Noor, Alam, Bilel Benjdira, Adel Ammar, & Anis Koubâa. (2020). DriftNet: Aggressive Driving Behaviour Detection using 3D Convolutional Neural Networks. 214–219. 12 indexed citations
16.
Khan, Rahim, Qiang Yang, Ahsan Bin Tufail, Yongkui Ma, & Alam Noor. (2020). Binary Classification of Modulation Formats in the Presence of Noise through Convolutional Neural Networks. 386–390. 3 indexed citations
17.
Ren, Guanghui, et al.. (2019). ECG arrhythmia classification using artificial intelligence and nonlinear and nonstationary decomposition. Signal Image and Video Processing. 13(7). 1283–1291. 29 indexed citations
18.
19.
Ting, Chee‐Ming, et al.. (2014). Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm. 115. 181–184. 7 indexed citations
20.
Ting, Chee‐Ming, et al.. (2014). Estimation of high-dimensional brain connectivity from FMRI data using factor modeling. 18. 73–76. 3 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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