Ee Soong Low

499 total citations
12 papers, 349 citations indexed

About

Ee Soong Low is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ee Soong Low has authored 12 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Ee Soong Low's work include Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Ee Soong Low is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Ee Soong Low collaborates with scholars based in Malaysia. Ee Soong Low's co-authors include Pauline Ong, Cheng-Yaw Low, Rosli Omar, Sia Chee Kiong and Cheng Yee Low and has published in prestigious journals such as Expert Systems with Applications, Journal of the Science of Food and Agriculture and Applied Soft Computing.

In The Last Decade

Ee Soong Low

12 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ee Soong Low Malaysia	6	228	106	96	81	58	12	349
Said Benhlima Morocco	6	279 1.2×	102 1.0×	106 1.1×	104 1.3×	45 0.8×	18	376
Chaymaa Lamini Morocco	4	267 1.2×	94 0.9×	106 1.1×	102 1.3×	44 0.8×	5	332
Marco A. Contreras-Cruz Mexico	7	232 1.0×	95 0.9×	110 1.1×	83 1.0×	50 0.9×	13	330
Fatin Hassan Ajeil Iraq	6	300 1.3×	99 0.9×	140 1.5×	117 1.4×	53 0.9×	6	409
Changwei Miao China	4	245 1.1×	66 0.6×	77 0.8×	104 1.3×	52 0.9×	7	342
Xingjun Tian China	4	230 1.0×	62 0.6×	114 1.2×	105 1.3×	38 0.7×	13	327
Uriel H. Hernandez-Belmonte Mexico	8	238 1.0×	70 0.7×	117 1.2×	82 1.0×	38 0.7×	15	348
Konstantin Yakovlev Russia	10	257 1.1×	90 0.8×	76 0.8×	132 1.6×	50 0.9×	41	354

Countries citing papers authored by Ee Soong Low

Since Specialization

Citations

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

Fields of papers citing papers by Ee Soong Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ee Soong Low. 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 Ee Soong Low. The network helps show where Ee Soong Low may publish in the future.

Co-authorship network of co-authors of Ee Soong Low

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

All Works

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12 of 12 papers shown

Low, Ee Soong, et al.. (2024). Integrating deep learning with non‐destructive thermal imaging for precision guava ripeness determination. Journal of the Science of Food and Agriculture. 104(13). 7843–7853. 4 indexed citations

Low, Ee Soong, Pauline Ong, & Cheng-Yaw Low. (2023). A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot. Computers & Industrial Engineering. 181. 109338–109338. 18 indexed citations

Low, Ee Soong, Pauline Ong, & Cheng Yee Low. (2023). An empirical evaluation of Q-learning in autonomous mobile robots in static and dynamic environments using simulation. Decision Analytics Journal. 8. 100314–100314. 4 indexed citations

Low, Ee Soong, Pauline Ong, Cheng-Yaw Low, & Rosli Omar. (2022). Modified Q-learning with distance metric and virtual target on path planning of mobile robot. Expert Systems with Applications. 199. 117191–117191. 52 indexed citations

Low, Ee Soong, et al.. (2021). Mobile Robot Path Planning using Q-Learning with Guided Distance and Moving Target Concept. International Journal of Integrated Engineering. 13(2). 1 indexed citations

Ong, Pauline, et al.. (2021). Tracking of moving athlete from video sequences using flower pollination algorithm. The Visual Computer. 38(3). 939–962. 9 indexed citations

Low, Ee Soong & Pauline Ong. (2020). On the Formulation of Metaheuristic Algorithm-Based Approximation Approach for Nonlinear Ordinary Differential Equations with Application to Heat Exchanger Problem. Pertanika journal of science & technology. 28(4). 2 indexed citations

Ong, Pauline, et al.. (2020). Vision-based path detection of an automated guided vehicle using flower pollination algorithm. Ain Shams Engineering Journal. 12(2). 2263–2274. 7 indexed citations

Low, Ee Soong, et al.. (2019). Solving the optimal path planning of a mobile robot using improved Q-learning. Robotics and Autonomous Systems. 115. 143–161. 229 indexed citations

10.

Ong, Pauline, et al.. (2019). Effective moving object tracking using modified flower pollination algorithm for visible image sequences under complicated background. Applied Soft Computing. 83. 105625–105625. 19 indexed citations

11.

Low, Ee Soong, Pauline Ong, & Cheng Yee Low. (2018). Mobile Robot Path Planning using Q-Learning with Guided Distance. International Journal of Engineering & Technology. 7(4.27). 57–57. 2 indexed citations

12.

Low, Ee Soong, et al.. (2016). A BADMINTON ROBOT - SERVING OPERATION DESIGN. 2 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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