Md. Jamal Uddin

667 total citations · 1 hit paper
19 papers, 344 citations indexed

About

Md. Jamal Uddin is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Information Systems. According to data from OpenAlex, Md. Jamal Uddin has authored 19 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Cognitive Neuroscience and 2 papers in Information Systems. Recurrent topics in Md. Jamal Uddin's work include Autism Spectrum Disorder Research (3 papers), Machine Learning in Healthcare (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Md. Jamal Uddin is often cited by papers focused on Autism Spectrum Disorder Research (3 papers), Machine Learning in Healthcare (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Md. Jamal Uddin collaborates with scholars based in Bangladesh, Australia and Saudi Arabia. Md. Jamal Uddin's co-authors include Mohammad Ali Moni, Salem A. Alyami, Sajal Halder, Md. Shahriare Satu, Tania Akter, AKM Azad, Jitang Fan, Sakifa Aktar, Md. Martuza Ahamad and Md. Imran Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Medical Research Methodology and Polymers.

In The Last Decade

Md. Jamal Uddin

17 papers receiving 330 citations

Hit Papers

The proper application of logistic regression model in co... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Jamal Uddin Bangladesh 12 99 69 39 32 31 19 344
Heba Ismail United Arab Emirates 9 70 0.7× 107 1.6× 21 0.5× 40 1.3× 13 0.4× 37 435
Avid Roman–Gonzalez Peru 9 77 0.8× 28 0.4× 11 0.3× 24 0.8× 49 1.6× 98 417
Tetiana Habuza United Arab Emirates 13 60 0.6× 82 1.2× 18 0.5× 39 1.2× 77 2.5× 42 412
Opeyemi Lateef Usman Malaysia 7 130 1.3× 71 1.0× 8 0.2× 14 0.4× 16 0.5× 16 304
Stanisław Saganowski Poland 11 121 1.2× 161 2.3× 45 1.2× 8 0.3× 50 1.6× 28 573
Mohamed Ben Ammar Tunisia 11 32 0.3× 186 2.7× 6 0.2× 79 2.5× 41 1.3× 54 484
Mahmoud Elbattah France 13 171 1.7× 133 1.9× 35 0.9× 4 0.1× 49 1.6× 32 483
Zhenming Yuan China 11 22 0.2× 141 2.0× 18 0.5× 23 0.7× 43 1.4× 49 381
Julie McCredden Australia 4 52 0.5× 94 1.4× 5 0.1× 7 0.2× 17 0.5× 9 353
Gilles Dequen France 12 172 1.7× 119 1.7× 31 0.8× 3 0.1× 50 1.6× 29 424

Countries citing papers authored by Md. Jamal Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Md. Jamal Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Jamal Uddin

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

All Works

19 of 19 papers shown
1.
Dey, Dibyendu, et al.. (2025). The proper application of logistic regression model in complex survey data: a systematic review. BMC Medical Research Methodology. 25(1). 15–15. 17 indexed citations breakdown →
2.
Uddin, Md. Jamal, et al.. (2025). Price hike of grocery items in Bangladesh: examining the influential factors and how it affects purchase intention. Journal of Revenue and Pricing Management.
3.
Uddin, Md. Jamal & Jitang Fan. (2024). Interpretable Machine Learning Framework to Predict the Glass Transition Temperature of Polymers. Polymers. 16(8). 1049–1049. 26 indexed citations
4.
Uddin, Md. Jamal, et al.. (2024). Effect of Leadership Behaviors and Job Satisfaction on Organizational Citizenship Behavior of Private Commercial Banks in Bangladesh: A Conceptual Framework. International Journal of Academic Research in Business and Social Sciences. 14(4).
6.
Salma, Umme, et al.. (2024). Exploring transformer models in the sentiment analysis task for the under-resource Bengali language. SHILAP Revista de lepidopterología. 8. 100091–100091. 5 indexed citations
7.
Uddin, Md. Jamal, Md. Martuza Ahamad, Sakifa Aktar, et al.. (2023). An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder. Computers. 12(5). 92–92. 22 indexed citations
8.
Uddin, Md. Jamal, Md. Martuza Ahamad, Md. Abul Ala Walid, et al.. (2023). A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh. Information. 14(7). 376–376. 24 indexed citations
9.
Walid, Md. Abul Ala, et al.. (2023). An Adam based CNN and LSTM approach for sign language recognition in real time for deaf people. Bulletin of Electrical Engineering and Informatics. 13(1). 499–509. 16 indexed citations
10.
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
11.
Ahamad, Md. Martuza, Sakifa Aktar, Md. Jamal Uddin, et al.. (2022). Early-Stage Detection of Ovarian Cancer Based on Clinical Data Using Machine Learning Approaches. Journal of Personalized Medicine. 12(8). 1211–1211. 37 indexed citations
12.
Akter, Tania, Mohammad Hanif Ali, Md. Imran Khan, et al.. (2021). Improved Transfer-Learning-Based Facial Recognition Framework to Detect Autistic Children at an Early Stage. Brain Sciences. 11(6). 734–734. 71 indexed citations
13.
Akter, Tania, Md. Imran Khan, Mohammad Hanif Ali, et al.. (2021). Improved Machine Learning based Classification Model for Early Autism Detection. 742–747. 21 indexed citations
14.
Satu, Md. Shahriare, Tania Akter, & Md. Jamal Uddin. (2017). Performance analysis of classifying localization sites of protein using data mining techniques and artificial neural networks. 860–865. 16 indexed citations
15.
Rahman, Md Moshiur, et al.. (2017). Novel recommendation systems in social networks. 1–6. 2 indexed citations
16.
Halder, Sajal, et al.. (2017). Smart disaster notification system. 658–663. 13 indexed citations
17.
Uddin, Md. Jamal, et al.. (2016). An efficient approach of identifying tourist by call detail record analysis. 136–141. 6 indexed citations
18.
Uddin, Md. Jamal, et al.. (2016). Predicting students yearly performance using neural network: A case study of BSMRSTU. 524–529. 37 indexed citations
19.
Uddin, Md. Jamal, et al.. (2013). Occupational therapy role in disaster management in Bangladesh. World Federation of Occupational Therapists Bulletin. 68(1). 33–37. 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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