Md. Asraf Ali

750 total citations
58 papers, 488 citations indexed

About

Md. Asraf Ali is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Orthopedics and Sports Medicine. According to data from OpenAlex, Md. Asraf Ali has authored 58 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 17 papers in Cognitive Neuroscience and 10 papers in Orthopedics and Sports Medicine. Recurrent topics in Md. Asraf Ali's work include Muscle activation and electromyography studies (30 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Motor Control and Adaptation (13 papers). Md. Asraf Ali is often cited by papers focused on Muscle activation and electromyography studies (30 papers), Advanced Sensor and Energy Harvesting Materials (18 papers) and Motor Control and Adaptation (13 papers). Md. Asraf Ali collaborates with scholars based in Malaysia, Bangladesh and Saudi Arabia. Md. Asraf Ali's co-authors include Kenneth Sundaraj, Nizam Uddin Ahamed, Md. Anamul Islam, R. Badlishah Ahmad, Sebastian Sundaraj, Jawad Hussain, Chee Kiang Lam, F. M. Javed Mehedi Shamrat, N. Ahmed and Yin Fen Low and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Applied Physiology.

In The Last Decade

Md. Asraf Ali

54 papers receiving 451 citations

Peers

Md. Asraf Ali

OSM

CMN

Kenzo Akazawa Japan

Kamen Ivanov China

P. A. Karthick India

Gianluca De Luca United States

Bojan Milosevic Italy

Christine F. Martindale Germany

Eileen Lee Ming Su Malaysia

Chikamune Wada Japan

Aikaterini D. Koutsou Spain

Haitham M. Al-Angari United Arab Emirates

Kenzo Akazawa Japan

Md. Asraf Ali

438 ×1.5

302 ×2.2

35 ×0.4

OSM

51 ×0.8

123 ×2.6

CMN

Citations per year, relative to Md. Asraf Ali Md. Asraf Ali (= 1×) peers Kenzo Akazawa

Countries citing papers authored by Md. Asraf Ali

Since Specialization

Citations

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

Fields of papers citing papers by Md. Asraf Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Asraf Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Asraf Ali. A scholar is included among the top collaborators of Md. Asraf Ali 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. Asraf Ali. Md. Asraf Ali 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

Ali, Md. Asraf, et al.. (2025). DeepMelaNet: Advancing Melanoma Stage Classification in Skin Cancer Diagnosis. Engineering Technology & Applied Science Research. 15(1). 19627–19635. 2 indexed citations

Ali, Md. Asraf, et al.. (2025). A Preliminary Study on Deep Learning Models for Facial Nerve Paralysis Diagnosis. 472–477.

Ali, Md. Asraf, et al.. (2024). Front-running attack in decentralized finance in the metaverse: A systematic review. International Journal of Science and Research Archive. 11(1). 2315–2324. 2 indexed citations

Ali, Md. Asraf, et al.. (2024). Enhancing Early Detection of Melanoma: A Deep Learning Approach for Skin Cancer Prediction. SHILAP Revista de lepidopterología. 8(3-2). 1772–1772.

Mridha, M. F., Md. Kishor Morol, Md. Asraf Ali, & Md Sakib Hossain Shovon. (2023). convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer. 22(1). 53–81. 9 indexed citations

Ali, Md. Asraf, et al.. (2023). Exploring a Novel Machine Learning Approach for Evaluating Parkinson's Disease, Duration, and Vitamin D Level. International Journal of Advanced Computer Science and Applications. 14(12). 3 indexed citations

Ali, Md. Asraf, et al.. (2022). Fractal Pattern Identification from Wearable Inertial and Electromyographic Signals Data during Walking. 1143–1146.

Shamrat, F. M. Javed Mehedi, et al.. (2020). The Future Of Electronic Voting System Using Blockchain. International journal of scientific and technology research. 9(2). 4131–4134. 10 indexed citations

Ali, Md. Asraf, et al.. (2020). Breast Cancer Risk Prediction based on Six Machine Learning Algorithms. 1–5. 12 indexed citations

10.

Ali, Md. Asraf, et al.. (2020). The Impact of Software Fault Prediction in Real-World Application. 247–251. 20 indexed citations

11.

Taha, Zahraa K., et al.. (2019). Robust and Secured Image Steganography using Improved LSB and RC4 Cryptography with Preprocessing Operation. International Journal of Recent Technology and Engineering (IJRTE). 8(2S9). 1049–1052. 1 indexed citations

12.

Hussain, Jawad, Kenneth Sundaraj, Yin Fen Low, Chee Kiang Lam, & Md. Asraf Ali. (2018). Electromyography - A Reliable Technique for Muscle Activity Assessment. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10. 155–159. 2 indexed citations

13.

Ali, Md. Asraf, Kenneth Sundaraj, R. Badlishah Ahmad, Nizam Uddin Ahamed, & Md. Anamul Islam. (2014). Recent observations in surface electromyography recording of triceps brachii muscle in patients and athletes. Applied Bionics and Biomechanics. 11(3). 105–118. 3 indexed citations

14.

Islam, Md. Anamul, Kenneth Sundaraj, R. Badlishah Ahmad, et al.. (2014). Longitudinal, Lateral and Transverse Axes of Forearm Muscles Influence the Crosstalk in the Mechanomyographic Signals during Isometric Wrist Postures. PLoS ONE. 9(8). e104280–e104280. 13 indexed citations

15.

Ali, Md. Asraf, Kenneth Sundaraj, R. Badlishah Ahmad, et al.. (2014). Evaluation of triceps brachii muscle strength during grip force exercisethrough surface electromyography.. Biomedical Research-tokyo. 25(3). 0. 1 indexed citations

16.

Islam, Md. Anamul, Kenneth Sundaraj, R. Badlishah Ahmad, et al.. (2014). Cross-Talk in Mechanomyographic Signals from the Forearm Muscles during Sub-Maximal to Maximal Isometric Grip Force. PLoS ONE. 9(5). e96628–e96628. 26 indexed citations

17.

Ahamed, Nizam Uddin, Kenneth Sundaraj, R. Badlishah Ahmad, et al.. (2013). Rehabilitation systems for physically disabled patients: A brief review ofsensor-based computerised signal-monitoring systems.. Biomedical Research-tokyo. 24(3). 0. 5 indexed citations

18.

Ahamed, Nizam Uddin, et al.. (2013). Coherence in muscle activity of the biceps brachii at middle, proximal anddistal tendon region among the arm wrestling contestants. Biomedical Research-tokyo. 24(2). 0. 2 indexed citations

19.

Ahamed, Nizam Uddin, et al.. (2012). Electromyographic Responses during Elbow Movement at Two Angles with Voluntary Contraction: Influences of Muscle Activity on Upper Arm Biceps Brachii. Research Journal of Applied Sciences Engineering and Technology. 4(22). 4591–4595. 2 indexed citations

20.

Ali, Md. Asraf, Kenneth Sundaraj, R. Badlishah Ahmad, Nizam Uddin Ahamed, & Md. Anamul Islam. (2012). Gait disorder rehabilitation using vision and non-vision based sensors: A systematic review. Bosnian Journal of Basic Medical Sciences. 12(3). 193–193. 25 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.

Explore authors with similar magnitude of impact