Mathias Foo

723 total citations
57 papers, 488 citations indexed

About

Mathias Foo is a scholar working on Molecular Biology, Control and Systems Engineering and Plant Science. According to data from OpenAlex, Mathias Foo has authored 57 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Control and Systems Engineering and 11 papers in Plant Science. Recurrent topics in Mathias Foo's work include Gene Regulatory Network Analysis (14 papers), Light effects on plants (10 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Mathias Foo is often cited by papers focused on Gene Regulatory Network Analysis (14 papers), Light effects on plants (10 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Mathias Foo collaborates with scholars based in United Kingdom, South Korea and Malaysia. Mathias Foo's co-authors include Declan G. Bates, Hafiz Ahmed, Pan‐Jun Kim, Erik Weyer, Jongmin Kim, David E. Somers, Odongo Steven Eyobu, B. S. K. K. Ibrahim, Ai Hui Tan and Su Ki Ooi and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Mathias Foo

57 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathias Foo United Kingdom	13	173	88	85	54	47	57	488
Wenqiang Wang China	12	86 0.5×	30 0.3×	182 2.1×	39 0.7×	52 1.1×	38	544
Zhijie Tang China	14	62 0.4×	37 0.4×	20 0.2×	103 1.9×	78 1.7×	55	488
Baoqing Li China	14	40 0.2×	31 0.4×	129 1.5×	98 1.8×	47 1.0×	42	665
Chao Lian China	14	97 0.6×	49 0.6×	45 0.5×	68 1.3×	127 2.7×	61	547
Chanyoung Kim South Korea	10	124 0.7×	21 0.2×	64 0.8×	22 0.4×	22 0.5×	23	359
Wenjie Bai China	11	84 0.5×	58 0.7×	37 0.4×	14 0.3×	18 0.4×	34	361
Zhiwei Mao China	18	155 0.9×	368 4.2×	323 3.8×	63 1.2×	43 0.9×	64	911
Mengting Chen China	14	26 0.2×	108 1.2×	121 1.4×	186 3.4×	27 0.6×	44	636
Youngshik Kim South Korea	14	34 0.2×	141 1.6×	153 1.8×	234 4.3×	73 1.6×	120	649

Countries citing papers authored by Mathias Foo

Since Specialization

Citations

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

Fields of papers citing papers by Mathias Foo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Foo

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

Tan, Ai Hui & Mathias Foo. (2025). Kernel design for estimation of resonant systems: A case study on vehicle suspension. Mechanical Systems and Signal Processing. 234. 112875–112875. 2 indexed citations

Foo, Mathias, et al.. (2025). The versatility of a lab-scale aquaponic system for teaching and learning mechanical engineering education. International Journal of Mechanical Engineering Education. 1 indexed citations

Ahmed, Hafiz, et al.. (2024). A Practical Guide for Noise Characterization of Back Pressure Sensors: Toward Digital Twin for an Industrial High-Horse Power Engine Test Cell. IEEE Sensors Letters. 8(6). 1–4. 1 indexed citations

Ahmed, Hafiz, et al.. (2023). A comparative analysis of moving average filter and Kalman filter for large diesel engine test cell back-pressure control. International Journal of Engine Research. 24(7). 3186–3196. 4 indexed citations

Laila, Dina Shona, et al.. (2023). Teaching embedded control system design of electromechanical devices using a lab-scale smart farming system. International Journal of Mechanical Engineering Education. 53(2). 391–410. 1 indexed citations

Foo, Mathias, et al.. (2022). Accuracy evaluation of hand-eye calibration techniques for vision-guided robots. PLoS ONE. 17(10). e0273261–e0273261. 13 indexed citations

Tan, Ai Hui, Duu Sheng Ong, & Mathias Foo. (2022). Estimation of battery internal resistance using built-in self-scaling method. Journal of Energy Storage. 59. 106481–106481. 5 indexed citations

Foo, Mathias, Leander Dony, & Fei He. (2022). Data-driven dynamical modelling of a pathogen-infected plant gene regulatory network: A comparative analysis. Biosystems. 219. 104732–104732. 1 indexed citations

Foo, Mathias, Ozgur E. Akman, & Declan G. Bates. (2022). Restoring circadian gene profiles in clock networks using synthetic feedback control. npj Systems Biology and Applications. 8(1). 7–7. 3 indexed citations

10.

Foo, Mathias, et al.. (2021). A Comparative Review of Hand-Eye Calibration Techniques for Vision Guided Robots. IEEE Access. 9. 113143–113155. 80 indexed citations

11.

Mouazen, Abdul Mounem, et al.. (2021). A framework of artificial light management for optimal plant development for smart greenhouse application. PLoS ONE. 16(12). e0261281–e0261281. 12 indexed citations

12.

Kim, Jongrae, Mathias Foo, & Declan G. Bates. (2018). Computationally Efficient Modelling of Stochastic Spatio-Temporal Dynamics in Biomolecular Networks. Scientific Reports. 8(1). 3498–3498. 2 indexed citations

13.

Foo, Mathias, et al.. (2017). Design of an embedded inverse-feedforward biomolecular tracking controller for enzymatic reaction processes. Computers & Chemical Engineering. 99. 145–157. 12 indexed citations

14.

Yoo, Hee Young, Young Hoon Song, Mathias Foo, et al.. (2016). Recombinant mussel proximal thread matrix protein promotes osteoblast cell adhesion and proliferation. BMC Biotechnology. 16(1). 16–16. 14 indexed citations

15.

Foo, Mathias, David E. Somers, & Pan‐Jun Kim. (2016). Kernel Architecture of the Genetic Circuitry of the Arabidopsis Circadian System. PLoS Computational Biology. 12(2). e1004748–e1004748. 27 indexed citations

16.

Yoo, Hee Young, Mihaela Iordăchescu, Jun Huang, et al.. (2016). Sugary interfaces mitigate contact damage where stiff meets soft. Nature Communications. 7(1). 11923–11923. 31 indexed citations

17.

Sung, Jaeyun, et al.. (2015). Uncovering the Nutritional Landscape of Food. PLoS ONE. 10(3). e0118697–e0118697. 19 indexed citations

18.

Foo, Mathias, Hee Young Yoo, & Pan‐Jun Kim. (2013). System identification of circadian clock in plant Arabidopsis thaliana. Pure (Coventry University). 14. 241–246. 6 indexed citations

19.

Foo, Mathias, Su Ki Ooi, & Erik Weyer. (2013). Centralised and decentralised control of the Broken River. Pure (Coventry University). 2561–2566. 1 indexed citations

20.

Foo, Mathias & Erik Weyer. (2011). On reproducing existing controllers as Model Predictive controllers. Pure (Coventry University). 303–308. 7 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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