Fahmida Haque

591 total citations
35 papers, 381 citations indexed

About

Fahmida Haque is a scholar working on Biomedical Engineering, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fahmida Haque has authored 35 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fahmida Haque's work include Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (6 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Fahmida Haque is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Neuroscience and Neural Engineering (6 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Fahmida Haque collaborates with scholars based in Malaysia, Bangladesh and United States. Fahmida Haque's co-authors include Mamun Bin Ibne Reaz, Mohammad Arif Sobhan Bhuiyan, Sawal Hamid Md Ali, Muhammad E. H. Chowdhury, Shamim Ahmad, Ahmad Ashrif A. Bakar, Geetika Srivastava, Norhana Arsad, Amith Khandakar and Nasser Al‐Emadi and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Fahmida Haque

30 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fahmida Haque Malaysia	12	105	71	62	44	41	35	381
Haipeng Tang China	13	305 2.9×	4 0.1×	24 0.4×	69 1.6×	18 0.4×	49	819
Yunus Çelik United Kingdom	7	92 0.9×	18 0.3×	41 0.7×	10 0.2×	22 0.5×	22	242
Erkan Zeki Engın Türkiye	14	169 1.6×	48 0.7×	12 0.2×	75 1.7×	20 0.5×	30	542
Lu Cao China	11	162 1.5×	62 0.9×	14 0.2×	262 6.0×	14 0.3×	33	677
Md. Kamal Hosain Bangladesh	15	179 1.7×	475 6.7×	14 0.2×	45 1.0×	8 0.2×	84	758
Carolina Magalhaes Portugal	14	35 0.3×	63 0.9×	30 0.5×	10 0.2×	5 0.1×	31	468
Khalil Ullah Pakistan	12	110 1.0×	119 1.7×	5 0.1×	77 1.8×	12 0.3×	53	397
Tim Good United Kingdom	9	85 0.8×	23 0.3×	40 0.6×	28 0.6×	33 0.8×	23	363
V. Venkatraman India	5	76 0.7×	16 0.2×	18 0.3×	25 0.6×	8 0.2×	6	288
Xiaochen Tang United States	12	211 2.0×	109 1.5×	7 0.1×	107 2.4×	8 0.2×	36	497

Countries citing papers authored by Fahmida Haque

Since Specialization

Citations

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

Fields of papers citing papers by Fahmida Haque

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fahmida Haque

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

All Works

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20 of 20 papers shown

Haque, Fahmida, et al.. (2025). Generative Artificial Intelligence in Prostate Cancer Imaging. Balkan Medical Journal. 42(4). 286–300.

Ahmad, Shamim, et al.. (2025). Complicacy in Electrode Position Shift and Its Solution in sEMG Pattern Recognition: A Review. IEEE Sensors Journal. 25(14). 26269–26288. 1 indexed citations

Srivastava, Geetika, et al.. (2025). Operational Transconductance Amplifier-Based Low-Pass Filters in Biomedical Signal Processing: A Review of Design Considerations and Performance. Journal of Circuits Systems and Computers. 34(12).

Reaz, Mamun Bin Ibne, Sawal Hamid Md Ali, M.L. Crespo, et al.. (2025). Deep learning for early detection of chronic kidney disease stages in diabetes patients: A TabNet approach. Artificial Intelligence in Medicine. 166. 103153–103153. 2 indexed citations

Haque, Fahmida, Alex Chen, Nathan Lay, et al.. (2025). Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts. Computers in Biology and Medicine. 190. 110052–110052.

Haque, Fahmida, Jorge A. Carrasquillo, Evrim Türkbey, et al.. (2024). An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body 68Ga- DOTATATE PET/CT. EJNMMI Research. 14(1). 103–103. 4 indexed citations

Reaz, Mamun Bin Ibne, Sawal Hamid Md Ali, M.L. Crespo, et al.. (2024). Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study. Neural Computing and Applications. 36(26). 16545–16565. 2 indexed citations

Haque, Fahmida, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury, et al.. (2023). A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument. Diagnostics. 13(2). 264–264. 8 indexed citations

Reaz, Mamun Bin Ibne, Sawal Hamid Md Ali, M.L. Crespo, et al.. (2023). Machine Learning Algorithms for Predicting the Risk of Chronic Kidney Disease in Type 1 Diabetes Patients: A Retrospective Longitudinal Study. SSRN Electronic Journal.

10.

Ahmad, Shamim, et al.. (2023). Optimizing electrode positions on forearm to increase SNR and myoelectric pattern recognition performance. Engineering Applications of Artificial Intelligence. 122. 106160–106160. 7 indexed citations

11.

Haque, Fahmida, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury, et al.. (2022). Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait. Sensors. 22(9). 3507–3507. 21 indexed citations

12.

Reaz, Mamun Bin Ibne, Sawal Hamid Md Ali, Shamim Ahmad, et al.. (2022). Nomogram-Based Chronic Kidney Disease Prediction Model for Type 1 Diabetes Mellitus Patients Using Routine Pathological Data. Journal of Personalized Medicine. 12(9). 1507–1507. 7 indexed citations

13.

Ahmad, Shamim, et al.. (2022). Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features. Computational Intelligence and Neuroscience. 2022. 1–19. 2 indexed citations

14.

Reaz, Mamun Bin Ibne, Geetika Srivastava, Fahmida Haque, et al.. (2021). Machine Learning-Based Epileptic Seizure Detection Methods Using Wavelet and EMD-Based Decomposition Techniques: A Review. Sensors. 21(24). 8485–8485. 20 indexed citations

15.

Haque, Fahmida, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury, et al.. (2021). Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification. Diagnostics. 11(5). 801–801. 26 indexed citations

16.

Reaz, Mamun Bin Ibne, Fahmida Haque, Shamim Ahmad, et al.. (2021). Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients. Diagnostics. 11(12). 2267–2267. 18 indexed citations

17.

Haque, Fahmida, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury, et al.. (2021). Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System. IEEE Access. 9. 7618–7631. 23 indexed citations

18.

Haque, Fahmida, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury, et al.. (2021). A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations. Computers in Biology and Medicine. 139. 104954–104954. 10 indexed citations

19.

Ahmad, Shamim, et al.. (2021). Force-Invariant Improved Feature Extraction Method for Upper-Limb Prostheses of Transradial Amputees. Diagnostics. 11(5). 843–843. 13 indexed citations

20.

Haque, Fahmida, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Norhana Arsad, & Muhammad E. H. Chowdhury. (2020). Performance analysis of noninvasive electrophysiological methods for the assessment of diabetic sensorimotor polyneuropathy in clinical research: a systematic review and meta-analysis with trial sequential analysis. Scientific Reports. 10(1). 21770–21770. 19 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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