Francis M. Bui

3.1k total citations · 2 hit papers
131 papers, 2.0k citations indexed

About

Francis M. Bui is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Francis M. Bui has authored 131 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 30 papers in Biomedical Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Francis M. Bui's work include Advanced Fiber Optic Sensors (13 papers), Photonic Crystal and Fiber Optics (13 papers) and Wireless Body Area Networks (12 papers). Francis M. Bui is often cited by papers focused on Advanced Fiber Optic Sensors (13 papers), Photonic Crystal and Fiber Optics (13 papers) and Wireless Body Area Networks (12 papers). Francis M. Bui collaborates with scholars based in Canada, Bangladesh and Saudi Arabia. Francis M. Bui's co-authors include Kawsar Ahmed, Dimitrios Hatzinakos, Khan A. Wahid, Md. Mamun Ali, Mohammad Ali Moni, Bikash Kumar Paul, Julian M.W. Quinn, Fahad Ahmed Al-Zahrani, Farah Deeba and Shobhit K. Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Scientific Reports.

In The Last Decade

Francis M. Bui

119 papers receiving 1.9k 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.

Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison

2021 264 citations Md. Mamun Ali, Kawsar Ahmed et al. profile →
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images

2023 106 citations F. M. Javed Mehedi Shamrat, Sami Azam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francis M. Bui Canada	23	464	416	389	292	271	131	2.0k
Muhammad Sharif Pakistan	23	152 0.3×	167 0.4×	775 2.0×	52 0.2×	574 2.1×	67	2.3k
Ji Wu China	21	262 0.6×	152 0.4×	859 2.2×	33 0.1×	189 0.7×	130	2.0k
Şaban Öztürk Türkiye	23	140 0.3×	153 0.4×	570 1.5×	42 0.1×	456 1.7×	63	1.6k
Muhammad Sharif Pakistan	32	227 0.5×	48 0.1×	947 2.4×	128 0.4×	874 3.2×	44	2.6k
Jinyang Gao China	21	290 0.6×	324 0.8×	291 0.7×	35 0.1×	14 0.1×	58	1.0k
Bing Nan Li China	19	473 1.0×	95 0.2×	326 0.8×	27 0.1×	217 0.8×	42	1.6k
Shuai Wang China	25	236 0.5×	111 0.3×	658 1.7×	10 0.0×	445 1.6×	140	2.1k
Parvathaneni Naga Srinivasu India	21	139 0.3×	73 0.2×	673 1.7×	193 0.7×	274 1.0×	56	1.8k
Javaria Amin Pakistan	27	213 0.5×	51 0.1×	1.3k 3.4×	128 0.4×	999 3.7×	64	3.4k
Guoshan Zhang China	23	149 0.3×	307 0.7×	202 0.5×	20 0.1×	143 0.5×	207	2.1k

Countries citing papers authored by Francis M. Bui

Since Specialization

Citations

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

Fields of papers citing papers by Francis M. Bui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis M. Bui. 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 Francis M. Bui. The network helps show where Francis M. Bui may publish in the future.

Co-authorship network of co-authors of Francis M. Bui

This figure shows the co-authorship network connecting the top 25 collaborators of Francis M. Bui. A scholar is included among the top collaborators of Francis M. Bui 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 Francis M. Bui. Francis M. Bui 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

Ahmed, Kawsar, Md. Mamun Ali, Md. Aslam Mollah, Francis M. Bui, & Li Chen. (2025). Deep Learning Optimized SPR Multi-Analyte Biosensor for Simultaneous Detection of Water Pathogens. IEEE Photonics Technology Letters. 38(4). 283–286.

Dehzangi, Abdollah, et al.. (2025). DHUpredET: A comparative computational approach for identification of dihydrouridine modification sites in RNA sequence. Analytical Biochemistry. 702. 115828–115828.

Ali, Md. Mamun, Kawsar Ahmed, Imran Mahmud, et al.. (2024). DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model. Results in Engineering. 24. 102878–102878. 4 indexed citations

Dutta, Amit Kumar, et al.. (2024). Exploring the therapeutic targets of stevioside in management of type 2 diabetes by network pharmacology and in-silico approach. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 18(8). 103111–103111. 1 indexed citations

Ali, Md. Mamun, et al.. (2024). StackAMP: Stacking-Based Ensemble Classifier for Antimicrobial Peptide Identification. IEEE Transactions on Artificial Intelligence. 5(11). 5666–5675. 4 indexed citations

Qin, Xiaoli, Francis M. Bui, Zhu Han, & April Khademi. (2024). Toward Improved Interpretability in Medical Imaging: Revealing the Disease Evidence From Chest X-Ray Images Using an Adversarial Generative Approach. IEEE Access. 12. 82002–82014. 2 indexed citations

Alam, Mohammad Khursheed, et al.. (2024). Identification of key signaling pathways and novel computational drug target for oral cancer, metabolic disorders and periodontal disease. Journal of Genetic Engineering and Biotechnology. 22(4). 100431–100431.

Sorathiya, Vishal, Walid El‐Shafai, Torki Altameem, et al.. (2023). Shadow Extraction and Elimination of Moving Vehicles for Tracking Vehicles. Computers, materials & continua/Computers, materials & continua (Print). 77(2). 2009–2030. 1 indexed citations

Patel, Shobhit K., Jaymit Surve, Juveriya Parmar, et al.. (2023). Graphene-based H-shaped biosensor with high sensitivity and optimization using ML-based algorithm. Alexandria Engineering Journal. 68. 15–28. 40 indexed citations

10.

Ali, Md. Mamun, Md Abdur Rahaman, Sami Azam, et al.. (2023). Machine Learning‐Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques. BioMed Research International. 2023(1). 33 indexed citations

11.

Mahmud, Sakib, Hosney Jahan, Md Habibur Rahman, et al.. (2023). A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron. Diagnostics. 13(12). 2106–2106. 13 indexed citations

12.

Ali, Md. Mamun, Kawsar Ahmed, Francis M. Bui, et al.. (2023). Development and performance analysis of machine learning methods for predicting depression among menopausal women. SHILAP Revista de lepidopterología. 3. 100202–100202. 7 indexed citations

13.

Hossain, Md. Bellal, et al.. (2023). Terahertz detection of chemicals through zeonex fiber material. Digest Journal of Nanomaterials and Biostructures. 18(2). 511–522. 1 indexed citations

14.

Abdulrazak, Lway Faisal, et al.. (2023). Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics. Algorithms. 16(11). 503–503. 3 indexed citations

15.

Ghosh, Pronab, F. M. Javed Mehedi Shamrat, Md Moniruzzaman, et al.. (2023). An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes. IEEE Transactions on Artificial Intelligence. 5(6). 2840–2855. 10 indexed citations

16.

Abdulrazak, Lway Faisal, Shaymaa R. Tahhan, Ruhul Amin, et al.. (2022). GaP-filled PCF with ultra-high birefringence and nonlinearity for distinctive optical applications. Journal of Ovonic Research. 18(2). 129–140. 14 indexed citations

17.

Rahaman, Md Abdur, Md. Mamun Ali, Kawsar Ahmed, Francis M. Bui, & Sakib Mahmud. (2022). Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach. 316–322. 4 indexed citations

18.

Patel, Shobhit K., Jaymit Surve, Juveriya Parmar, et al.. (2022). Terahertz Metasurface-Based Refractive Index Sensor for Amino Acid Detection: A Numerical Approach. IEEE Transactions on NanoBioscience. 22(3). 614–621. 23 indexed citations

19.

Abdulrazak, Lway Faisal, Fahad Ahmed Al-Zahrani, Sumaiya Akhtar Mitu, et al.. (2021). Hollow core negative curvature fiber based refractive index sensor design and investigation for tuberculosis monitoring. Physica Scripta. 96(12). 125877–125877. 5 indexed citations

20.

Deeba, Farah, et al.. (2016). A Saliency-Based Unsupervised Method for Angioectasia Detection in Capsule Endoscopic Images. 39. 3 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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