Md Palash Uddin

2.2k total citations · 2 hit papers
82 papers, 1.3k citations indexed

About

Md Palash Uddin is a scholar working on Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Md Palash Uddin has authored 82 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 26 papers in Media Technology and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Md Palash Uddin's work include Remote-Sensing Image Classification (22 papers), Remote Sensing and Land Use (19 papers) and Privacy-Preserving Technologies in Data (11 papers). Md Palash Uddin is often cited by papers focused on Remote-Sensing Image Classification (22 papers), Remote Sensing and Land Use (19 papers) and Privacy-Preserving Technologies in Data (11 papers). Md Palash Uddin collaborates with scholars based in Bangladesh, Australia and China. Md Palash Uddin's co-authors include Md. Al Mamun, Md. Ali Hossain, Masud Ibn Afjal, Yong Xiang, Longxiang Gao, John Yearwood, Md. Rashedul Islam, Youyang Qu, Chenquan Gan and S. M. Mahedy Hasan and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Md Palash Uddin

73 papers receiving 1.2k 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.

PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification

2020 210 citations Md Palash Uddin et al. profile →
Blockchain-enabled Federated Learning: A Survey

2022 157 citations Youyang Qu, Md Palash Uddin et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Md Palash Uddin Bangladesh	17	426	404	298	281	131	82	1.3k
Md. Ali Hossain Bangladesh	17	200 0.5×	490 1.2×	394 1.3×	211 0.8×	29 0.2×	90	1.1k
Bowen Zhang China	20	608 1.4×	265 0.7×	147 0.5×	364 1.3×	105 0.8×	137	1.5k
Basel Solaiman France	17	276 0.6×	294 0.7×	142 0.5×	420 1.5×	76 0.6×	136	1.0k
Yurong Qian China	19	279 0.7×	310 0.8×	79 0.3×	408 1.5×	70 0.5×	115	1.2k
Md. Al Mamun Bangladesh	14	164 0.4×	415 1.0×	303 1.0×	249 0.9×	18 0.1×	89	1.0k
Youcef Chibani Algeria	20	364 0.9×	808 2.0×	216 0.7×	1.1k 3.7×	68 0.5×	122	1.6k
Bor‐Chen Kuo Taiwan	23	430 1.0×	1.2k 3.0×	875 2.9×	508 1.8×	103 0.8×	107	2.2k
Jiawei Zhu China	14	344 0.8×	489 1.2×	349 1.2×	207 0.7×	56 0.4×	42	1.4k
Weipeng Jing China	20	257 0.6×	274 0.7×	110 0.4×	256 0.9×	230 1.8×	121	1.1k

Countries citing papers authored by Md Palash Uddin

Since Specialization

Citations

This map shows the geographic impact of Md Palash 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 Palash 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 Palash Uddin more than expected).

Fields of papers citing papers by Md Palash Uddin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Md Palash Uddin. A scholar is included among the top collaborators of Md Palash 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 Palash Uddin. Md Palash Uddin 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

Xiang, Yong, et al.. (2025). Federated TSRN-Enabled GANs for Effective Cyber Attack Detection in Edge Computing. IEEE Transactions on Network Science and Engineering. 1–17.

Xiang, Yong, et al.. (2025). Trustworthy and Fair Federated Learning via Reputation-Based Consensus and Adaptive Incentives. IEEE Transactions on Information Forensics and Security. 20. 2868–2882. 2 indexed citations

Uddin, Md Palash, et al.. (2025). Hybrid feature selection framework for enhanced credit card fraud detection using machine learning models. PLoS ONE. 20(7). e0326975–e0326975.

Islam, Md. Rashedul, et al.. (2025). Interpretable artificial intelligence (AI) for cervical cancer risk analysis leveraging stacking ensemble and expert knowledge. Digital Health. 11. 609971657–609971657. 2 indexed citations

Uddin, Md Palash, et al.. (2025). A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions. ACM Computing Surveys. 57(10). 1–62. 8 indexed citations

Mahmud, Sakib, et al.. (2025). Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform. PLoS ONE. 20(7). e0322749–e0322749.

Pal, Shantanu, Geeta Yadav, Zahra Jadidi, et al.. (2025). Vulnerabilities in Machine Learning for cybersecurity: Current trends and future research directions. Journal of Information Security and Applications. 96. 104269–104269.

Uddin, Md Palash, et al.. (2025). Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection. Digital Health. 11. 599953659–599953659. 1 indexed citations

Islam, Md. Rashedul, et al.. (2024). Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery. Remote Sensing. 16(5). 807–807. 5 indexed citations

10.

Sharif, Muhammad Imran, et al.. (2024). Federated Learning for Analysis of Medical Images: A Survey. Journal of Computer Science. 20(12). 1610–1621. 3 indexed citations

11.

Uddin, Md Palash, et al.. (2024). Predictive modeling of multi-class diabetes mellitus using machine learning and filtering iraqi diabetes data dynamics. PLoS ONE. 19(5). e0300785–e0300785. 1 indexed citations

12.

Hasan, Mahmudul, et al.. (2024). Leveraging textual information for social media news categorization and sentiment analysis. PLoS ONE. 19(7). e0307027–e0307027. 3 indexed citations

13.

Qu, Youyang, et al.. (2024). Winning at the Starting Line: Unreliable Data Replica Selection for Edge Data Integrity Verification. IEEE Transactions on Services Computing. 17(6). 4481–4493. 1 indexed citations

14.

Islam, Md. Rashedul, et al.. (2024). Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification. 1–6. 1 indexed citations

15.

Uddin, Md Palash, Yong Xiang, Borui Cai, et al.. (2023). ARFL: Adaptive and Robust Federated Learning. IEEE Transactions on Mobile Computing. 23(5). 5401–5417. 7 indexed citations

16.

Hasan, Mahmudul, et al.. (2023). A novel data balancing technique via resampling majority and minority classes toward effective classification. TELKOMNIKA (Telecommunication Computing Electronics and Control). 21(6). 1308–1308. 8 indexed citations

17.

Hasan, Mahmudul, et al.. (2023). Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation. Frontiers in Plant Science. 14. 1234555–1234555. 47 indexed citations

18.

Islam, Md. Rashedul, et al.. (2023). A Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling. Remote Sensing. 15(14). 3532–3532. 6 indexed citations

19.

Uddin, Md Palash, Yong Xiang, Xuequan Lu, John Yearwood, & Longxiang Gao. (2022). Federated Learning via Disentangled Information Bottleneck. IEEE Transactions on Services Computing. 16(3). 1874–1889. 13 indexed citations

20.

Uddin, Md Palash, et al.. (2020). Enhancement of single-handed Bengali sign language recognition based on HOG features. Journal of Theoretical and Applied Information Technology. 98(5). 743–756. 8 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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