Jingwei Too

2.3k total citations · 1 hit paper
41 papers, 1.7k citations indexed

About

Jingwei Too is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Jingwei Too has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 15 papers in Cognitive Neuroscience and 14 papers in Artificial Intelligence. Recurrent topics in Jingwei Too's work include Muscle activation and electromyography studies (15 papers), EEG and Brain-Computer Interfaces (15 papers) and Metaheuristic Optimization Algorithms Research (13 papers). Jingwei Too is often cited by papers focused on Muscle activation and electromyography studies (15 papers), EEG and Brain-Computer Interfaces (15 papers) and Metaheuristic Optimization Algorithms Research (13 papers). Jingwei Too collaborates with scholars based in Malaysia, Palestinian Territory and Saudi Arabia. Jingwei Too's co-authors include Abdul Rahim Abdullah, Norhashimah Mohd Saad, Seyedali Mirjalili, Wei Hown Tee, Majdi Mafarja, Nursabillilah Mohd Ali, Thaer Thaher, Hamza Turabieh, Hamouda Chantar and Huiling Chen and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Energy.

In The Last Decade

Jingwei Too

41 papers receiving 1.7k 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.

Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning

2023 61 citations Majdi Mafarja, Thaer Thaher et al. Applied Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingwei Too Malaysia	25	830	382	299	248	200	41	1.7k
Norhashimah Mohd Saad Malaysia	17	346 0.4×	297 0.8×	214 0.7×	221 0.9×	88 0.4×	72	1.1k
Kwee-Bo Sim South Korea	16	406 0.5×	145 0.4×	354 1.2×	362 1.5×	90 0.5×	178	1.4k
Asha Rani India	24	789 1.0×	430 1.1×	198 0.7×	315 1.3×	268 1.3×	98	2.6k
Minho Lee South Korea	26	625 0.8×	220 0.6×	328 1.1×	748 3.0×	98 0.5×	174	2.3k
Osama Ahmad Alomari Jordan	25	825 1.0×	85 0.2×	175 0.6×	227 0.9×	138 0.7×	55	1.7k
Vijander Singh India	23	760 0.9×	408 1.1×	143 0.5×	337 1.4×	269 1.3×	83	2.6k
Abdul Rahim Abdullah Malaysia	21	480 0.6×	408 1.1×	243 0.8×	244 1.0×	130 0.7×	173	1.9k
Humberto Sossa Mexico	24	712 0.9×	133 0.3×	201 0.7×	795 3.2×	115 0.6×	190	2.0k
Abdelmgeid A. Ali Egypt	18	645 0.8×	102 0.3×	168 0.6×	385 1.6×	74 0.4×	33	1.5k
Mineichi Kudo Japan	18	734 0.9×	160 0.4×	70 0.2×	611 2.5×	117 0.6×	111	1.7k

Countries citing papers authored by Jingwei Too

Since Specialization

Citations

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

Fields of papers citing papers by Jingwei Too

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Too

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

Sheta, Alaa, Thaer Thaher, Salim Surani, et al.. (2023). Diagnosis of Obstructive Sleep Apnea Using Feature Selection, Classification Methods, and Data Grouping Based Age, Sex, and Race. Diagnostics. 13(14). 2417–2417. 4 indexed citations

Mafarja, Majdi, Thaer Thaher, Mohammed Azmi Al‐Betar, et al.. (2023). Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning. Applied Intelligence. 53(15). 18715–18757. 61 indexed citations breakdown →

Akbari, Hesam, et al.. (2022). Recognizing seizure using Poincaré plot of EEG signals and graphical features in DWT domain. Bratislavské lekárske listy/Bratislava medical journal. 124(1). 12–24. 56 indexed citations

Yao, Zhaomin, et al.. (2022). Feature Selection of OMIC Data by Ensemble Swarm Intelligence Based Approaches. Frontiers in Genetics. 12. 793629–793629. 11 indexed citations

Mafarja, Majdi, Thaer Thaher, Jingwei Too, et al.. (2022). An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification. Neural Computing and Applications. 35(2). 1749–1775. 29 indexed citations

Thaher, Thaer, Hamouda Chantar, Jingwei Too, et al.. (2022). Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems. Expert Systems with Applications. 195. 116550–116550. 51 indexed citations

Sadiq, Muhammad Tariq, Hesam Akbari, Ateeq Ur Rehman, et al.. (2021). Exploiting Feature Selection and Neural Network Techniques for Identification of Focal and Nonfocal EEG Signals in TQWT Domain. Journal of Healthcare Engineering. 2021. 1–24. 27 indexed citations

Sheta, Alaa, Hamza Turabieh, Thaer Thaher, et al.. (2021). Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers. Applied Sciences. 11(14). 6622–6622. 63 indexed citations

Turabieh, Hamza, et al.. (2021). Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction. IEEE Access. 9. 14239–14258. 66 indexed citations

10.

Mong, Guo Ren, William Woei Fong Chong, Jo-Han Ng, et al.. (2021). Pyrolysis of waste activated sludge from food manufacturing industry: Thermal degradation, kinetics and thermodynamics analysis. Energy. 235. 121264–121264. 40 indexed citations

11.

Too, Jingwei, Majdi Mafarja, & Seyedali Mirjalili. (2021). Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach. Neural Computing and Applications. 33(23). 16229–16250. 54 indexed citations

12.

Too, Jingwei & Abdul Rahim Abdullah. (2020). Opposition based competitive grey wolf optimizer for EMG feature selection. Evolutionary Intelligence. 14(4). 1691–1705. 36 indexed citations

13.

Jopri, Mohd Hatta, et al.. (2020). Support-vector machine and naïve bayes based diagnostic analytic of harmonic source identification. Indonesian Journal of Electrical Engineering and Computer Science. 20(1). 1–1. 3 indexed citations

14.

Too, Jingwei & Seyedali Mirjalili. (2020). A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study. Knowledge-Based Systems. 212. 106553–106553. 132 indexed citations

15.

Too, Jingwei & Abdul Rahim Abdullah. (2020). Chaotic Atom Search Optimization for Feature Selection. Arabian Journal for Science and Engineering. 45(8). 6063–6079. 49 indexed citations

16.

Too, Jingwei & Seyedali Mirjalili. (2020). General Learning Equilibrium Optimizer: A New Feature Selection Method for Biological Data Classification. Applied Artificial Intelligence. 35(3). 247–263. 54 indexed citations

17.

Too, Jingwei, et al.. (2019). Classification of Myoelectric Signal using Spectrogram Based Window Selection. International Journal of Integrated Engineering. 11(4). 2 indexed citations

18.

Too, Jingwei, Abdul Rahim Abdullah, & Norhashimah Mohd Saad. (2019). A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection. Informatics. 6(2). 21–21. 63 indexed citations

19.

Too, Jingwei, et al.. (2018). Deep Convolutional Neural Network for Featureless Electromyogram Pattern Recognition Using Time-Frequency Distribution. Sensor Letters. 16(2). 92–99. 5 indexed citations

20.

Too, Jingwei, et al.. (2017). Classification of EMG Signal Based on Time Domain and Frequency Domain Features. 1(1). 25–30. 24 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