Kamruddin Nur

817 total citations · 1 hit paper
47 papers, 360 citations indexed

About

Kamruddin Nur is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kamruddin Nur has authored 47 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Kamruddin Nur's work include Advanced Data Compression Techniques (4 papers), Traffic Prediction and Management Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Kamruddin Nur is often cited by papers focused on Advanced Data Compression Techniques (4 papers), Traffic Prediction and Management Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Kamruddin Nur collaborates with scholars based in Bangladesh, Spain and United States. Kamruddin Nur's co-authors include M. F. Mridha, Md. Mohsin Kabir, Mahmud Hasan, Jamin Rahman Jim, Sujoy Chandra Das, Partha Malakar, Aklima Akter Lima, Rafael Pous, Md. Anwar Hussen Wadud and Anna Carreras and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Kamruddin Nur

38 papers receiving 329 citations

Hit Papers

align trajectories

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.

Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review

2024 71 citations Jamin Rahman Jim, Partha Malakar et al. profile →

Peers

Kamruddin Nur

AI

IS

CVPR

EEE

SP

Luis Miralles‐Pechuán Ireland

Yueming Ding China

Rainer Wasinger Australia

Jiakai Tang China

Hamzah Ali Alkhazaleh United Arab Emirates

Christos Karras Greece

Ni Juan China

Aristeidis Karras Greece

Ke Deng Australia

Luis Miralles‐Pechuán Ireland

Kamruddin Nur

92 ×0.5

AI

28 ×0.5

IS

80 ×1.6

CVPR

27 ×0.8

EEE

22 ×0.9

SP

Citations per year, relative to Kamruddin Nur Kamruddin Nur (= 1×) peers Luis Miralles‐Pechuán

Countries citing papers authored by Kamruddin Nur

Since Specialization

Citations

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

Fields of papers citing papers by Kamruddin Nur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamruddin Nur

This figure shows the co-authorship network connecting the top 25 collaborators of Kamruddin Nur. A scholar is included among the top collaborators of Kamruddin Nur 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 Kamruddin Nur. Kamruddin Nur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Nur, Kamruddin, et al.. (2025). Acute lymphoblastic leukemia diagnosis and subtype segmentation in blood smears using CNN and U-Net. Indonesian Journal of Electrical Engineering and Computer Science. 38(2). 950–950. 1 indexed citations

2.

Alam, Gazi Mahabubul, et al.. (2025). Deep learning model based prediction of vehicle CO2 emissions with eXplainable AI integration for sustainable environment. Scientific Reports. 15(1). 3655–3655. 11 indexed citations

3.

Jim, Jamin Rahman, et al.. (2025). XLLC-Net: A lightweight and explainable CNN for accurate lung cancer classification using histopathological images. PLoS ONE. 20(5). e0322488–e0322488. 1 indexed citations

4.

Uddin, Md Hamid, et al.. (2025). Ret-DNN: Predictive Analytics in Retail - Enhanced Deep Learning Models for Customer Behavior Analysis. International Journal of Computing and Digital Systems. 18(1). 1–14. 1 indexed citations

5.

Nur, Kamruddin, et al.. (2024). SPF-Net: Solar panel fault detection using U-Net based deep learning image classification. Energy Reports. 12. 1580–1594. 17 indexed citations

6.

Nur, Kamruddin, et al.. (2024). TelLungNet - Enabling Telemedicine Utilizing an Improved U-Net Lung Image Segmentation. 1387–1393. 1 indexed citations

7.

Nur, Kamruddin, et al.. (2024). Enhancing Monkeypox Diagnostics: Exploring the Potential of EfficientNet and Big Transfer. Journal of Image and Graphics. 12(3). 250–258.

8.

Nur, Kamruddin, et al.. (2024). Automatic Multiple Choice Question Evaluation Using Tesseract OCR and YOLOv8. 246–252.

9.

Nahar, Afroza, et al.. (2024). AMLChain: An Automated Blockchain Model Architecture For Anti-Money Laundering in Banking Industry. 1–6. 4 indexed citations

10.

Alam, Gazi Mahabubul, et al.. (2024). Breast Cancer Diagnosis with XAI-Integrated Deep Learning Approach. 659–665.

11.

Nur, Kamruddin, et al.. (2024). MiniBert24: A Lightweight Transformer-Based Model for Stock Market Movement Prediction. 293–298. 1 indexed citations

12.

Jim, Jamin Rahman, et al.. (2024). Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review. 6. 100059–100059. 71 indexed citations breakdown →

13.

Wadud, Md. Anwar Hussen, et al.. (2023). Employee Promotion Prediction Using Improved AdaBoost Machine Learning Approach. 22(3). 258–266. 5 indexed citations

14.

Mridha, M. F., Aklima Akter Lima, Kamruddin Nur, et al.. (2021). A Survey of Automatic Text Summarization: Progress, Process and Challenges. IEEE Access. 9. 156043–156070. 70 indexed citations

15.

Nur, Kamruddin, et al.. (2020). Kids Play. 1–8. 1 indexed citations

16.

Mridha, M. F., et al.. (2020). Identification of Extreme Guilt and Grave Fault in Bengali Language. 1–5. 2 indexed citations

17.

Nur, Kamruddin, et al.. (2016). Smart Surface: RFID-Based Gesture Recognition Using k-Means Algorithm. 111–118. 10 indexed citations

18.

Hasan, Mahmud, et al.. (2012). COMPUTATIONAL COMPLEXITY REDUCTION OF JPEG IMAGES. International journal of scientific and technology research. 1(4). 72–75. 4 indexed citations

19.

Hasan, Mahmud & Kamruddin Nur. (2012). A Lossless Image Compression Technique using Location Based Approach. International journal of scientific and technology research. 1(2). 101–105. 5 indexed citations

20.

Nur, Kamruddin, et al.. (2012). An automated urban traffic control system for heavy traffic congestion. 5. 454–457. 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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