Shahadat Uddin

7.8k total citations · 4 hit papers
155 papers, 4.9k citations indexed

About

Shahadat Uddin is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Shahadat Uddin has authored 155 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistical and Nonlinear Physics, 37 papers in Artificial Intelligence and 24 papers in Epidemiology. Recurrent topics in Shahadat Uddin's work include Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (25 papers) and Machine Learning in Healthcare (20 papers). Shahadat Uddin is often cited by papers focused on Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (25 papers) and Machine Learning in Healthcare (20 papers). Shahadat Uddin collaborates with scholars based in Australia, Bangladesh and United States. Shahadat Uddin's co-authors include Mohammad Ali Moni, Arif Khan, Md Ekramul Hossain, Haohui Lu, Liaquat Hossain, Kim J.R. Rasmussen, Julian M.W. Quinn, Ergun Gide, Farshid Hajati and Matloob Khushi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Shahadat Uddin

150 papers receiving 4.7k 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.

Comparing different supervised machine learning algorithms for disease prediction

2019 1.0k citations Shahadat Uddin, Arif Khan et al. profile →
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

2022 382 citations Shahadat Uddin, Haohui Lu et al. profile →
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data

2021 194 citations Matloob Khushi, Shahadat Uddin et al. IEEE Access profile →
Ensemble Learning for Disease Prediction: A Review

2023 151 citations Shahadat Uddin, Farshid Hajati et al. Healthcare profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shahadat Uddin Australia	33	1.3k	744	539	493	406	155	4.9k
Svetha Venkatesh Australia	45	4.2k 3.3×	494 0.7×	432 0.8×	515 1.0×	959 2.4×	491	12.0k
Fei Wang United States	46	4.0k 3.2×	1.3k 1.7×	1.2k 2.3×	741 1.5×	1.5k 3.8×	297	9.6k
Jiang Bian United States	40	2.4k 1.9×	499 0.7×	489 0.9×	490 1.0×	977 2.4×	422	7.2k
Nan Liu China	48	2.2k 1.7×	380 0.5×	791 1.5×	978 2.0×	1.1k 2.6×	577	10.0k
Andreas Holzinger Austria	54	3.8k 3.0×	455 0.6×	963 1.8×	216 0.4×	988 2.4×	353	11.1k
Cynthia Rudin United States	38	5.2k 4.1×	276 0.4×	571 1.1×	270 0.5×	473 1.2×	172	10.1k
Moloud Abdar Australia	36	3.0k 2.4×	910 1.2×	804 1.5×	181 0.4×	326 0.8×	85	6.0k
Simon Fong Macao	39	2.8k 2.2×	321 0.4×	755 1.4×	148 0.3×	588 1.4×	428	7.1k
Scott Lundberg United States	14	1.7k 1.3×	255 0.3×	472 0.9×	456 0.9×	703 1.7×	25	6.9k
Shu‐Kay Ng Australia	33	2.2k 1.7×	246 0.3×	176 0.3×	494 1.0×	962 2.4×	179	7.7k

Countries citing papers authored by Shahadat Uddin

Since Specialization

Citations

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

Fields of papers citing papers by Shahadat Uddin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahadat Uddin

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

Lu, Haohui, et al.. (2025). Toward fair medical advice: Addressing and mitigating bias in large language model-based healthcare applications. Artificial Intelligence in Medicine. 168. 103216–103216. 1 indexed citations

Kamal, A. H. M., et al.. (2024). A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilizing EEG Signals. IEEE Transactions on Artificial Intelligence. 5(10). 4938–4947. 8 indexed citations

Uddin, Shahadat, et al.. (2023). Evolutionary Features for Dynamic Link Prediction in Social Networks. Applied Sciences. 13(5). 2913–2913. 1 indexed citations

Uddin, Shahadat, Arif Khan, & Haohui Lu. (2023). Impact of COVID-19 on Journal Impact Factor. Journal of Informetrics. 17(4). 101458–101458. 2 indexed citations

Lu, Haohui & Shahadat Uddin. (2023). Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends. Healthcare. 11(7). 1031–1031. 24 indexed citations

Lu, Haohui, et al.. (2022). A machine learning software tool for multiclass classification. Software Impacts. 13. 100383–100383. 5 indexed citations

Uddin, Shahadat, et al.. (2022). Suburban Road Networks to Explore COVID-19 Vulnerability and Severity. International Journal of Environmental Research and Public Health. 19(4). 2039–2039. 11 indexed citations

Ahamad, Md. Martuza, Sakifa Aktar, Md. Jamal Uddin, et al.. (2022). Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity. Healthcare. 11(1). 31–31. 22 indexed citations

Lu, Haohui & Shahadat Uddin. (2022). Embedding-based link predictions to explore latent comorbidity of chronic diseases. Health Information Science and Systems. 11(1). 2–2. 10 indexed citations

10.

Lu, Haohui & Shahadat Uddin. (2022). Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients. Information. 13(9). 436–436. 12 indexed citations

11.

Nain, Zulkar, et al.. (2021). Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Computers in Biology and Medicine. 136. 104668–104668. 12 indexed citations

12.

Hossain, Md Ekramul, Shahadat Uddin, & Arif Khan. (2020). Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. Expert Systems with Applications. 164. 113918–113918. 61 indexed citations

13.

Hossain, Md Ekramul, Shahadat Uddin, Arif Khan, & Mohammad Ali Moni. (2020). A Framework to Understand the Progression of Cardiovascular Disease for Type 2 Diabetes Mellitus Patients Using a Network Approach. International Journal of Environmental Research and Public Health. 17(2). 596–596. 17 indexed citations

14.

Akter, Tania, Md. Shahriare Satu, Md. Imran Khan, et al.. (2019). Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access. 7. 166509–166527. 136 indexed citations

15.

Khan, Arif, Shahadat Uddin, & Uma Srinivasan. (2019). Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes. Expert Systems with Applications. 136. 230–241. 46 indexed citations

16.

Hossain, Md Ekramul, Arif Khan, Mohammad Ali Moni, & Shahadat Uddin. (2019). Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(2). 745–758. 45 indexed citations

17.

Khan, Arif, Shahadat Uddin, & Uma Srinivasan. (2018). Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression. International Journal of Medical Informatics. 115. 1–9. 79 indexed citations

18.

Rasheed, Sabrina, Roy Sk, Susmita Das, et al.. (2017). Policy content and stakeholder network analysis for infant and young child feeding in Bangladesh. BMC Public Health. 17(S2). 402–402. 21 indexed citations

19.

Puri, Seema, Deepika Anand, Abhay Gaidhane, et al.. (2017). Policy content and stakeholder network analysis for infant and young child feeding in India. BMC Public Health. 17(S2). 461–461. 37 indexed citations

20.

Uddin, Shahadat, et al.. (2014). Social networks in exploring healthcare coordination. Asia Pacific Journal of Health Management. 9(3). 53. 6 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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