DM Anisuzzaman

912 total citations · 1 hit paper
19 papers, 493 citations indexed

About

DM Anisuzzaman is a scholar working on Occupational Therapy, Rehabilitation and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, DM Anisuzzaman has authored 19 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Occupational Therapy, 6 papers in Rehabilitation and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in DM Anisuzzaman's work include Pressure Ulcer Prevention and Management (7 papers), Diabetic Foot Ulcer Assessment and Management (6 papers) and Wound Healing and Treatments (6 papers). DM Anisuzzaman is often cited by papers focused on Pressure Ulcer Prevention and Management (7 papers), Diabetic Foot Ulcer Assessment and Management (6 papers) and Wound Healing and Treatments (6 papers). DM Anisuzzaman collaborates with scholars based in United States, Bangladesh and Italy. DM Anisuzzaman's co-authors include Zeyun Yu, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Behrouz Rostami, Chuanbo Wang, Mrinal Kanti Dhar, Ling Tong, Jake Luo, Yash Patel and Zachi I. Attia and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

DM Anisuzzaman

17 papers receiving 480 citations

Hit Papers

Fine-Tuning Large Language Models for Specialized Use Cases 2024 2026 2025 2024 5 10 15 20 25
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.

  1. Fine-Tuning Large Language Models for Specialized Use Cases
    2024 28 citations DM Anisuzzaman, Jeffrey G. Malins et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DM Anisuzzaman United States 10 200 160 147 127 107 19 493
Behrouz Rostami United States 8 180 0.9× 145 0.9× 132 0.9× 48 0.4× 68 0.6× 16 392
Chuanbo Wang China 9 170 0.8× 134 0.8× 122 0.8× 50 0.4× 58 0.5× 33 440
Sofia Zahia Spain 8 98 0.5× 75 0.5× 104 0.7× 170 1.3× 127 1.2× 12 406
Mrinal Kanti Dhar United States 7 105 0.5× 72 0.5× 75 0.5× 97 0.8× 48 0.4× 13 270
Sameer Razzaq Oleiwi Iraq 3 123 0.6× 56 0.3× 40 0.3× 94 0.7× 104 1.0× 6 303
Dhiraj Manohar Dhane India 7 101 0.5× 82 0.5× 92 0.6× 65 0.5× 28 0.3× 11 392
Yves Lucas France 10 152 0.8× 118 0.7× 161 1.1× 8 0.1× 61 0.6× 32 337
Chuan Wang China 14 128 0.6× 61 0.4× 50 0.3× 31 0.2× 45 0.4× 32 579
Nuwan D. Nanayakkara Sri Lanka 12 314 1.6× 27 0.2× 29 0.2× 21 0.2× 53 0.5× 44 601
Maryam Hadizadeh Malaysia 10 14 0.1× 27 0.2× 9 0.1× 63 0.5× 32 0.3× 18 252

Countries citing papers authored by DM Anisuzzaman

Since Specialization
Citations

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

Fields of papers citing papers by DM Anisuzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DM Anisuzzaman

This figure shows the co-authorship network connecting the top 25 collaborators of DM Anisuzzaman. A scholar is included among the top collaborators of DM Anisuzzaman 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 DM Anisuzzaman. DM Anisuzzaman 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.
Malins, Jeffrey G., DM Anisuzzaman, John I. Jackson, et al.. (2025). Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study. The Lancet Digital Health. 7(4). e255–e263. 1 indexed citations
2.
Anisuzzaman, DM, Jeffrey G. Malins, John I. Jackson, et al.. (2025). Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound. PubMed. 3(1). 100194–100194. 1 indexed citations
3.
Sara, Jaskanwal Deep Singh, et al.. (2025). Acoustic Features are Independently Associated with Heart Failure and Pulmonary Hypertension. ESC Heart Failure. 12(4). 2946–2957.
4.
Anisuzzaman, DM, Jeffrey G. Malins, Paul A. Friedman, & Zachi I. Attia. (2024). Fine-Tuning Large Language Models for Specialized Use Cases. SHILAP Revista de lepidopterología. 3(1). 100184–100184. 28 indexed citations breakdown →
5.
Naser, Jwan A., Eunjung Lee, Sorin V. Pislaru, et al.. (2024). Artificial intelligence-based classification of echocardiographic views. European Heart Journal - Digital Health. 5(3). 260–269. 11 indexed citations
6.
7.
Anisuzzaman, DM, Yash Patel, Behrouz Rostami, et al.. (2022). Multi-modal wound classification using wound image and location by deep neural network. Scientific Reports. 12(1). 20057–20057. 34 indexed citations
8.
Anisuzzaman, DM, Yash Patel, Jeffrey Niezgoda, Sandeep Gopalakrishnan, & Zeyun Yu. (2022). A Mobile App for Wound Localization Using Deep Learning. IEEE Access. 10. 61398–61409. 23 indexed citations
9.
Anisuzzaman, DM, Chuanbo Wang, Behrouz Rostami, et al.. (2021). Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review. Advances in Wound Care. 11(12). 687–709. 3 indexed citations
10.
Anisuzzaman, DM, et al.. (2021). Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networks. Journal of Biomedical Informatics. 125. 103972–103972. 13 indexed citations
11.
Qin, Xiao, et al.. (2021). Identification and analysis of misclassified work-zone crashes using text mining techniques. Accident Analysis & Prevention. 159. 106211–106211. 23 indexed citations
12.
Rostami, Behrouz, DM Anisuzzaman, Chuanbo Wang, et al.. (2021). Multiclass wound image classification using an ensemble deep CNN-based classifier. Computers in Biology and Medicine. 134. 104536–104536. 70 indexed citations
13.
Anisuzzaman, DM, et al.. (2021). A deep learning study on osteosarcoma detection from histological images. Biomedical Signal Processing and Control. 69. 102931–102931. 60 indexed citations
14.
Wang, Chuanbo, DM Anisuzzaman, Mrinal Kanti Dhar, et al.. (2020). Fully automatic wound segmentation with deep convolutional neural networks. Scientific Reports. 10(1). 21897–21897. 143 indexed citations
15.
Anisuzzaman, DM, Chuanbo Wang, Behrouz Rostami, et al.. (2020). Image Based Artificial Intelligence in Wound Assessment: A Systematic Review. arXiv (Cornell University). 68 indexed citations
16.
Anisuzzaman, DM, et al.. (2019). Online Trial Room based on Human Body Shape Detection. International Journal of Image Graphics and Signal Processing. 11(2). 21–29. 5 indexed citations
17.
Anisuzzaman, DM & Abdus Salam. (2018). Authorship Attribution for Bengali Language Using the Fusion of N-Gram and Naive Bayes Algorithms. International Journal of Information Technology and Computer Science. 10(10). 11–21. 7 indexed citations
18.
Anisuzzaman, DM & A F M Saifuddin Saif. (2018). Efficient Framework Using Morphological Modeling for Frequent Iris Movement Investigation towards Questionable Observer Detection. International Journal of Image Graphics and Signal Processing. 10(11). 28–37. 2 indexed citations
19.
Anisuzzaman, DM, et al.. (2018). High-Speed and Area-Efficient LUT-Based BCD Multiplier Design. 62. 1–4. 1 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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