Jia Uddin

2.6k total citations
148 papers, 1.4k citations indexed

About

Jia Uddin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jia Uddin has authored 148 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 22 papers in Control and Systems Engineering. Recurrent topics in Jia Uddin's work include Video Surveillance and Tracking Methods (14 papers), Machine Fault Diagnosis Techniques (14 papers) and Industrial Vision Systems and Defect Detection (13 papers). Jia Uddin is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Machine Fault Diagnosis Techniques (14 papers) and Industrial Vision Systems and Defect Detection (13 papers). Jia Uddin collaborates with scholars based in Bangladesh, South Korea and Malaysia. Jia Uddin's co-authors include Jong-Myon Kim, Mostofa Kamal Nasir, Md. Saikat Islam Khan, Nazrul Islam, Md. Monirul Islam, Md. Rashedul Islam, Md Abdus Samad, Fahmid Al Farid, Ho‐Jin Choi and Noramiza Hashim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jia Uddin

124 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Uddin Bangladesh 20 346 265 200 182 143 148 1.4k
Ryan Rhay P. Vicerra Philippines 19 318 0.9× 154 0.6× 99 0.5× 162 0.9× 188 1.3× 233 1.6k
Jianjun Ni China 27 718 2.1× 274 1.0× 331 1.7× 120 0.7× 193 1.3× 106 2.0k
Gabriel Villarrubia González Spain 22 294 0.8× 293 1.1× 124 0.6× 50 0.3× 336 2.3× 102 1.7k
M. Pallikonda Rajasekaran India 25 592 1.7× 329 1.2× 103 0.5× 59 0.3× 456 3.2× 176 2.0k
John E. Ball United States 23 469 1.4× 288 1.1× 86 0.4× 52 0.3× 134 0.9× 172 1.7k
Huafeng Wu China 28 428 1.2× 305 1.2× 262 1.3× 135 0.7× 593 4.1× 150 2.5k
Chaozhong Wu China 31 290 0.8× 220 0.8× 713 3.6× 60 0.3× 213 1.5× 149 2.7k
Wen‐Tsai Sung Taiwan 21 121 0.3× 126 0.5× 145 0.7× 223 1.2× 336 2.3× 121 1.2k
Angelos Amditis Greece 26 407 1.2× 348 1.3× 339 1.7× 45 0.2× 620 4.3× 244 2.6k
Hemant Ghayvat India 20 479 1.4× 350 1.3× 74 0.4× 75 0.4× 434 3.0× 58 1.9k

Countries citing papers authored by Jia Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Jia Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Uddin

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Uddin. A scholar is included among the top collaborators of Jia 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 Jia Uddin. Jia 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.
Abdullah‐Al‐Wadud, M., et al.. (2025). A Secured and Continuously Developing Methodology for Breast Cancer Image Segmentation via U-Net Based Architecture and Distributed Data Training. Computer Modeling in Engineering & Sciences. 142(3). 2617–2640. 2 indexed citations
2.
Farid, Fahmid Al, et al.. (2025). A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization. Frontiers in Artificial Intelligence. 8. 1626699–1626699.
3.
Uddin, Jia, et al.. (2025). Steel Surface Defect Detection Using Learnable Memory Vision Transformer. Computers, materials & continua/Computers, materials & continua (Print). 82(1). 499–520. 1 indexed citations
4.
Rahman, Mahmudur, et al.. (2025). Towards Safer Cities: AI-Powered Infrastructure Fault Detection Based on YOLOv11. Future Internet. 17(5). 187–187. 1 indexed citations
5.
6.
Farid, Fahmid Al, et al.. (2025). Real-Time Waste Detection and Classification Using YOLOv12-Based Deep Learning Model. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 5(2). 19–19. 3 indexed citations
7.
Uddin, Jia, et al.. (2024). Machine Fault Diagnosis Using Audio Sensors Data and Explainable AI Techniques-LIME and SHAP. Computers, materials & continua/Computers, materials & continua (Print). 80(3). 3463–3484. 8 indexed citations
8.
Bhuiyan, Abul Bashar & Jia Uddin. (2024). Bengali Word Detection from Lip Movements Using Mask RCNN and Generalized Linear Model. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 12(2).
9.
Islam, Md. Monirul, et al.. (2024). Air Pollution Monitoring Using IoT and Machine Learning in the Perspective of Bangladesh. 8(3). 17–33. 1 indexed citations
10.
Alam, Md. Golam Rabiul, et al.. (2024). A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators. ICT Express. 10(6). 1280–1287. 1 indexed citations
11.
12.
Islam, Md. Saiful, et al.. (2024). Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning. IEEE Access. 12. 47768–47786. 27 indexed citations
13.
Alam, Md. Golam Rabiul, et al.. (2024). Simplified Novel Approach for Accurate Employee Churn Categorization using MCDM, De-Pareto Principle Approach, and Machine Learning. Baghdad Science Journal. 21(2(SI)). 706–706. 3 indexed citations
14.
Islam, Md. Saiful, et al.. (2024). ECARRNet: An Efficient LSTM-Based Ensembled Deep Neural Network Architecture for Railway Fault Detection. SHILAP Revista de lepidopterología. 5(2). 482–503. 9 indexed citations
15.
Islam, Md. Monirul, et al.. (2023). Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques. Diagnostics. 13(21). 3360–3360. 11 indexed citations
16.
Aḥmad, Muḥammad Musḥtaq, et al.. (2023). Machine Learning based Stream Selection of Secondary School Students in Bangladesh. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 11(1). 2 indexed citations
17.
Uddin, Jia, et al.. (2023). Real-Time Obstacle Detection with YOLOv8 in a WSN Using UAV Aerial Photography. Journal of Imaging. 9(10). 216–216. 23 indexed citations
18.
Haque, Rezaul, et al.. (2023). Data-Driven Solution to Identify Sentiments from Online Drug Reviews. Computers. 12(4). 87–87. 14 indexed citations
19.
Kashem, Mohammod Abul, Md. Monirul Islam, Jia Uddin, et al.. (2023). Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review. Sensors. 23(23). 9367–9367. 4 indexed citations
20.
Islam, Md. Monirul, et al.. (2021). A Cost-Effective IoT Model for a Smart Sewerage Management System Using Sensors. SHILAP Revista de lepidopterología. 4(3). 356–366. 18 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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