Md Azher Uddin

426 total citations
23 papers, 286 citations indexed

About

Md Azher Uddin is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Information Systems. According to data from OpenAlex, Md Azher Uddin has authored 23 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Experimental and Cognitive Psychology and 3 papers in Information Systems. Recurrent topics in Md Azher Uddin's work include Video Analysis and Summarization (6 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Md Azher Uddin is often cited by papers focused on Video Analysis and Summarization (6 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Md Azher Uddin collaborates with scholars based in South Korea, United Arab Emirates and Bangladesh. Md Azher Uddin's co-authors include Young-Koo Lee, Kyung-Ah Sohn, Aftab Alam, Nguyen Anh Tu, Seokhee Jeon, Parvis Akter, Taeyeon Kim, Md. Delowar Hossain, Firoz Mahmud and M. Mofazzal Hossain and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Md Azher Uddin

17 papers receiving 277 citations

Peers

Md Azher Uddin
Yona Falinie A. Gaus United Kingdom
Laura Docío-Fernández Spain
Paweł Tarnowski Poland
Kalin Stefanov Australia
Esam Ghaleb Netherlands
Antoine Toisoul United Kingdom
Hamed Monkaresi Australia
Shuyong Gao China
Ziheng Zhou China
Joëlle Tilmanne Belgium
Yona Falinie A. Gaus United Kingdom
Md Azher Uddin
Citations per year, relative to Md Azher Uddin Md Azher Uddin (= 1×) peers Yona Falinie A. Gaus

Countries citing papers authored by Md Azher Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Md Azher Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Azher Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Md Azher Uddin. A scholar is included among the top collaborators of Md Azher 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 Md Azher Uddin. Md Azher 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.
Uddin, Md Azher, et al.. (2025). Self-Supervised Anomalous Pose Detection in Multi-View Human Pose Estimation for Smart Manufacturing With Non-Calibrated Cameras. SHILAP Revista de lepidopterología. 13. 163672–163686.
2.
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Mahmud, Firoz, et al.. (2024). A COMPREHENSIVE STUDY OF MACHINE LEARNING APPROACHES FOR CUSTOMER SENTIMENT ANALYSIS IN BANKING SECTOR. 6(10). 100–111. 2 indexed citations
4.
Uddin, Md Azher, et al.. (2024). DYNAMIC PRICING IN FINANCIAL TECHNOLOGY: EVALUATING MACHINE LEARNING SOLUTIONS FOR MARKET ADAPTABILITY. 5(10). 13–27. 2 indexed citations
5.
Uddin, Md Azher, et al.. (2024). BLOCKCHAIN APPLICATIONS IN BUSINESS OPERATIONS AND SUPPLY CHAIN MANAGEMENT BY MACHINE LEARNING. 9(11). 17–30. 5 indexed citations
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Uddin, Md Azher, et al.. (2024). A multimodal multitask deep learning framework for vibrotactile feedback and sound rendering. Scientific Reports. 14(1). 13335–13335.
8.
Uddin, Md Azher, et al.. (2022). Deep Multi-Modal Network Based Automated Depression Severity Estimation. IEEE Transactions on Affective Computing. 14(3). 2153–2167. 53 indexed citations
9.
Uddin, Md Azher, et al.. (2022). A Novel Multi-Modal Network-Based Dynamic Scene Understanding. ACM Transactions on Multimedia Computing Communications and Applications. 18(1). 1–19.
10.
Uddin, Md Azher, et al.. (2022). Deep multi-model fusion network based real object tactile understanding from haptic data. Applied Intelligence. 52(14). 16605–16620. 10 indexed citations
11.
Uddin, Md Azher, et al.. (2021). Dynamic Facial Expression Understanding Using Deep Spatiotemporal LDSP On Spark. IEEE Access. 9. 16866–16877. 6 indexed citations
12.
Uddin, Md Azher, et al.. (2020). A Distributed Automatic Video Annotation Platform. Applied Sciences. 10(15). 5319–5319. 2 indexed citations
13.
Uddin, Md Azher, et al.. (2020). Depression Level Prediction Using Deep Spatiotemporal Features and Multilayer Bi-LTSM. IEEE Transactions on Affective Computing. 13(2). 864–870. 64 indexed citations
14.
Uddin, Md Azher, et al.. (2019). SIAT: A Distributed Video Analytics Framework for Intelligent Video Surveillance. Symmetry. 11(7). 911–911. 27 indexed citations
15.
Uddin, Md Azher & Young-Koo Lee. (2019). Feature Fusion of Deep Spatial Features and Handcrafted Spatiotemporal Features for Human Action Recognition. Sensors. 19(7). 1599–1599. 18 indexed citations
16.
Xu, Weihua, et al.. (2018). Similarity Estimation for Large-Scale Human Action Video Data on Spark. Applied Sciences. 8(5). 778–778. 3 indexed citations
17.
Uddin, Md Azher, et al.. (2018). A Novel Lightweight Approach for Video Retrieval on Mobile Augmented Reality Environment. Applied Sciences. 8(10). 1860–1860. 2 indexed citations
18.
Uddin, Md Azher, et al.. (2018). Dynamic Scene Recognition Using Spatiotemporal Based DLTP on Spark. IEEE Access. 6. 66123–66133. 9 indexed citations
19.
Uddin, Md Azher, et al.. (2017). Human Action Recognition Using Adaptive Local Motion Descriptor in Spark. IEEE Access. 5. 21157–21167. 32 indexed citations
20.
Uddin, Md Azher, et al.. (2016). An integrated approach to classify gender and ethnicity. 1–4. 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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