Muhammad Syafrudin

4.4k total citations · 2 hit papers
114 papers, 2.7k citations indexed

About

Muhammad Syafrudin is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Syafrudin has authored 114 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Health Information Management and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Syafrudin's work include Artificial Intelligence in Healthcare (17 papers), Plant Growth and Agriculture Techniques (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Muhammad Syafrudin is often cited by papers focused on Artificial Intelligence in Healthcare (17 papers), Plant Growth and Agriculture Techniques (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Muhammad Syafrudin collaborates with scholars based in South Korea, Indonesia and Pakistan. Muhammad Syafrudin's co-authors include Jongtae Rhee, Norma Latif Fitriyani, Ganjar Alfian, Tony Hadibarata, Muhammad Fazal Ijaz, Risky Ayu Kristanti, Adhi Yuniarto, Amal M. Al‐Mohaimeed, M. Alex Syaekhoni and Wedad A. Al-onazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Syafrudin

94 papers receiving 2.6k 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.

Pesticides in Drinking Water—A Review

2021 452 citations Muhammad Syafrudin, Tony Hadibarata et al. profile →
HDPM: An Effective Heart Disease Prediction Model for a Clinical Decision Support System

2020 222 citations Norma Latif Fitriyani, Muhammad Syafrudin et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Syafrudin South Korea	24	564	514	280	221	212	114	2.7k
Jongtae Rhee South Korea	24	507 0.9×	507 1.0×	173 0.6×	204 0.9×	305 1.4×	69	2.7k
Anita Gehlot India	30	527 0.9×	77 0.1×	58 0.2×	195 0.9×	72 0.3×	331	3.7k
Vikrant Sharma India	25	872 1.5×	60 0.1×	304 1.1×	126 0.6×	22 0.1×	177	3.1k
Zahid Mehmood Pakistan	36	1.2k 2.2×	239 0.5×	163 0.6×	202 0.9×	21 0.1×	122	4.1k
Michał Jasiński Poland	30	386 0.7×	168 0.3×	74 0.3×	55 0.2×	16 0.1×	127	2.7k
Feng Pan China	37	251 0.4×	34 0.1×	241 0.9×	198 0.9×	54 0.3×	270	4.8k
Sina Ardabili Iran	28	510 0.9×	46 0.1×	64 0.2×	518 2.3×	34 0.2×	72	2.8k
Do‐Hyeun Kim South Korea	36	774 1.4×	81 0.2×	23 0.1×	233 1.1×	90 0.4×	232	4.9k
Alessandro Massaro Italy	21	126 0.2×	65 0.1×	51 0.2×	370 1.7×	87 0.4×	198	1.7k
Tanupriya Choudhury India	22	623 1.1×	159 0.3×	16 0.1×	132 0.6×	42 0.2×	333	2.5k

Countries citing papers authored by Muhammad Syafrudin

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Syafrudin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Syafrudin

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Syafrudin. A scholar is included among the top collaborators of Muhammad Syafrudin 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 Muhammad Syafrudin. Muhammad Syafrudin 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

Fatima, Noor, Nadhem Nemri, Hadeel Alsolai, et al.. (2025). Time series AQI forecasting using Kalman-integrated Bi-GRU and Chi-square divergence optimization. Scientific Reports. 15(1). 29157–29157.

Razaq, Abdul, Shabana Ramzan, Ali Raza, et al.. (2025). Novel dual-input stream-based hybrid approach for wheat leaf disease classification using edge-aware features. Scientific Reports. 15(1). 42091–42091.

Nasir, Inzamam Mashood, et al.. (2025). Multi-Stage Neural Network-Based Ensemble Learning Approach for Wheat Leaf Disease Classification. IEEE Access. 13. 30101–30116. 7 indexed citations

Hadibarata, Tony, Muhammad Syafrudin, Norma Latif Fitriyani, & Seung Won Lee. (2025). Advancements in Composting Technologies for Efficient Soil Remediation of Polycyclic Aromatic Hydrocarbons (PAHs): A Mini Review. Sustainability. 17(13). 5881–5881. 2 indexed citations

Nasir, Inzamam Mashood, et al.. (2024). FLTrans-Net: Transformer-based feature learning network for wheat head detection. Computers and Electronics in Agriculture. 229. 109706–109706. 11 indexed citations

Harito, Christian, et al.. (2024). Color Modification of Silicone-Based Prosthetic Finger by 3D-Printed Mold. SHILAP Revista de lepidopterología. 6(5). 1017–1028. 1 indexed citations

Raza, Ali, et al.. (2024). BdSentiLLM: A Novel LLM Approach to Sentiment Analysis of Product Reviews. IEEE Access. 12. 189330–189343. 3 indexed citations

Hameed, Alaa Ali, Mohammad Salman, Dong Keon Yon, et al.. (2024). Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts. Mathematics. 12(5). 758–758. 24 indexed citations

Maarif, Muhammad Rifqi, Muhammad Syafrudin, & Norma Latif Fitriyani. (2023). Uncovering Sustainability Insights from Amazon’s Eco-Friendly Product Reviews for Design Optimization. Sustainability. 16(1). 172–172. 4 indexed citations

10.

Nasir, Inzamam Mashood, et al.. (2023). ENGA: Elastic Net-Based Genetic Algorithm for human action recognition. Expert Systems with Applications. 227. 120311–120311. 23 indexed citations

11.

Alfian, Ganjar, et al.. (2023). Utilizing Random Forest with iForest-Based Outlier Detection and SMOTE to Detect Movement and Direction of RFID Tags. Future Internet. 15(3). 103–103. 12 indexed citations

12.

Maarif, Muhammad Rifqi, et al.. (2023). Energy Usage Forecasting Model Based on Long Short-Term Memory (LSTM) and eXplainable Artificial Intelligence (XAI). Information. 14(5). 265–265. 24 indexed citations

13.

Güneşer, Muhammet Tahir, et al.. (2023). Performance Analysis of Classification and Detection for PV Panel Motion Blur Images Based on Deblurring and Deep Learning Techniques. Sustainability. 15(2). 1150–1150. 7 indexed citations

14.

Fitriyani, Norma Latif, Muhammad Syafrudin, Ganjar Alfian, et al.. (2023). Performance Analysis and Assessment of Type 2 Diabetes Screening Scores in Patients with Non-Alcoholic Fatty Liver Disease. Mathematics. 11(10). 2266–2266. 1 indexed citations

15.

Hadibarata, Tony, Muhammad Noor Hazwan Jusoh, Rajib Kumar Bhattacharjya, et al.. (2022). Drought Analysis Based on Standardized Precipitation Evapotranspiration Index and Standardized Precipitation Index in Sarawak, Malaysia. Sustainability. 15(1). 734–734. 32 indexed citations

16.

Fitriyani, Norma Latif, et al.. (2022). A Comprehensive Analysis of Chinese, Japanese, Korean, US-PIMA Indian, and Trinidadian Screening Scores for Diabetes Risk Assessment and Prediction. Mathematics. 10(21). 4027–4027. 9 indexed citations

17.

Syafrudin, Muhammad, Ganjar Alfian, Norma Latif Fitriyani, et al.. (2020). A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting. Mathematics. 8(9). 1590–1590. 12 indexed citations

18.

Hadibarata, Tony, et al.. (2019). Removal of Procion Red MX- 5B from aqueous solution by adsorption on Parkia speciosa (stink bean) peel powder. Biointerface Research in Applied Chemistry. 10(1). 4774–4779. 18 indexed citations

19.

Alfian, Ganjar, Muhammad Syafrudin, Muhammad Fazal Ijaz, et al.. (2018). A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing. Sensors. 18(7). 2183–2183. 164 indexed citations

20.

Ijaz, Muhammad Fazal, Ganjar Alfian, Muhammad Syafrudin, & Jongtae Rhee. (2018). Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest. Applied Sciences. 8(8). 1325–1325. 160 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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