Wan Sieng Yeo

599 total citations
43 papers, 369 citations indexed

About

Wan Sieng Yeo is a scholar working on Control and Systems Engineering, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Wan Sieng Yeo has authored 43 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 13 papers in Biomedical Engineering and 11 papers in Analytical Chemistry. Recurrent topics in Wan Sieng Yeo's work include Fault Detection and Control Systems (10 papers), Spectroscopy and Chemometric Analyses (9 papers) and Water Quality Monitoring and Analysis (8 papers). Wan Sieng Yeo is often cited by papers focused on Fault Detection and Control Systems (10 papers), Spectroscopy and Chemometric Analyses (9 papers) and Water Quality Monitoring and Analysis (8 papers). Wan Sieng Yeo collaborates with scholars based in Malaysia, Italy and China. Wan Sieng Yeo's co-authors include Agus Saptoro, Perumal Kumar, Jobrun Nandong, Md. Nahid Pervez, Yingjie Cai, Vincenzo Naddeo, Manabu Kano, Woei Jye Lau, Adhi Yuniarto and Lina Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Hydrogen Energy.

In The Last Decade

Wan Sieng Yeo

40 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wan Sieng Yeo Malaysia 12 88 79 78 51 45 43 369
Cid Marcos Gonçalves Andrade Brazil 15 164 1.9× 47 0.6× 29 0.4× 52 1.0× 12 0.3× 81 629
Chandra Mouli R. Madhuranthakam Canada 13 127 1.4× 140 1.8× 22 0.3× 23 0.5× 19 0.4× 39 466
Tianyi Zhao China 12 59 0.7× 77 1.0× 7 0.1× 46 0.9× 19 0.4× 28 469
P. Neelamegam India 12 61 0.7× 11 0.1× 37 0.5× 11 0.2× 10 0.2× 36 349
Choon Aun Ng Malaysia 14 181 2.1× 11 0.1× 11 0.1× 47 0.9× 52 1.2× 41 482
Bernardeta Dębska Poland 14 83 0.9× 9 0.1× 88 1.1× 21 0.4× 20 0.4× 52 484
Dongbing Li China 15 387 4.4× 16 0.2× 9 0.1× 23 0.5× 15 0.3× 34 628
Mauricio Sales‐Cruz Mexico 15 254 2.9× 227 2.9× 13 0.2× 43 0.8× 16 0.4× 38 589
Faisal Ahmed Pakistan 13 184 2.1× 119 1.5× 46 0.6× 23 0.5× 42 0.9× 35 555

Countries citing papers authored by Wan Sieng Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Wan Sieng Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan Sieng Yeo. 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 Wan Sieng Yeo. The network helps show where Wan Sieng Yeo may publish in the future.

Co-authorship network of co-authors of Wan Sieng Yeo

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

All Works

20 of 20 papers shown
1.
Yeo, Wan Sieng, et al.. (2025). Optimization of microalgae cultivation and CO2 capture in a three-stage bubble column photobioreactor: Evaluation of control strategies. Process Safety and Environmental Protection. 196. 106906–106906. 8 indexed citations
2.
Yeo, Wan Sieng, et al.. (2025). A review of machine learning in hyperspectral imaging for food safety. Vibrational Spectroscopy. 139. 103828–103828. 2 indexed citations
3.
Yeo, Wan Sieng, et al.. (2025). CO 2 fed microalgae cultivation in photobioreactor: review on challenges and possible solutions. Environmental Technology Reviews. 14(1). 540–564. 1 indexed citations
4.
Yeo, Wan Sieng, et al.. (2024). Introduction of LSSVR for the Prediction of the YellownessIndex. International Journal of Computing and Digital Systems. 15(1). 81–90. 3 indexed citations
5.
Yeo, Wan Sieng, et al.. (2024). Process modeling and 3-stage photobioreactor design for algae cultivation and CO2 capture: A case study using palm oil mill effluent. Biochemical Engineering Journal. 212. 109532–109532. 4 indexed citations
6.
Yeo, Wan Sieng, et al.. (2024). The least-square support vector regression model for the dyes and heavy metal ions removal prediction. Chemical Engineering Communications. 211(7). 986–999. 2 indexed citations
7.
Nandong, Jobrun, et al.. (2023). Biohydrogen production: A new controllability criterion for analyzing the impacts of dark fermentation conditions. SHILAP Revista de lepidopterología. 377. 1010–1010. 1 indexed citations
8.
Yeo, Wan Sieng, et al.. (2023). Effect of Ethrel as a Flower Induction Agent on the Growth and Quality of Fresh Golden Pineapple (MD2) in Malaysia. SHILAP Revista de lepidopterología. 10(2). 143–161.
9.
Pervez, Md. Nahid, Wan Sieng Yeo, Lina Lin, et al.. (2023). Optimization and prediction of the cotton fabric dyeing process using Taguchi design-integrated machine learning approach. Scientific Reports. 13(1). 12363–12363. 25 indexed citations
10.
Yeo, Wan Sieng, Agus Saptoro, Perumal Kumar, & Manabu Kano. (2023). Just-in-time based soft sensors for process industries: A status report and recommendations. Journal of Process Control. 128. 103025–103025. 32 indexed citations
11.
Yeo, Wan Sieng, et al.. (2023). A comparison study between different kernel functions in the least square support vector regression model for penicillin fermentation process. SHILAP Revista de lepidopterología. 377. 1025–1025. 6 indexed citations
12.
Yeo, Wan Sieng, et al.. (2022). Prediction Of Dissolved Oxygen Using Least Square Support Vector Regression Model. 70–74. 3 indexed citations
13.
Khan, Fahad, et al.. (2022). A new conceptual process design and economic analysis of a fatty acids and glycerine production plant using palm oil. Chemical Papers. 76(6). 3471–3483. 2 indexed citations
14.
Yeo, Wan Sieng & Woei Jye Lau. (2021). Predicting the whiteness index of cotton fabric with a least squares model. Cellulose. 28(13). 8841–8854. 14 indexed citations
15.
Yeo, Wan Sieng, et al.. (2021). A Yellowness Index Simulation Model. 1. 1–4. 4 indexed citations
16.
Yeo, Wan Sieng, et al.. (2021). A Basic Characterisation Study of Bioplastics via Gelatinization of Corn Starch. SHILAP Revista de lepidopterología. 8(2). 820–833. 4 indexed citations
17.
Yeo, Wan Sieng, et al.. (2021). A comparative study between PCR, PLSR, and LW-PLS on the predictive performance at different data splitting ratios. Chemical Engineering Communications. 209(11). 1439–1456. 25 indexed citations
18.
Yeo, Wan Sieng, et al.. (2019). Evaluating the Performance of Newly Integrated Model in Nonlinear Chemical Process Against Missing Measurements. Chemical Product and Process Modeling. 14(4). 7 indexed citations
19.
Yeo, Wan Sieng, Yin Ling Tan, & Yudi Samyudia. (2018). Development of an Integrated Technique for Energy and Property Integration in Batch Processes. Industrial & Engineering Chemistry Research. 57(6). 2178–2191. 3 indexed citations
20.
Yeo, Wan Sieng, Agus Saptoro, & Perumal Kumar. (2017). Development of Adaptive Soft Sensor Using Locally Weighted Kernel Partial Least Square Model. Chemical Product and Process Modeling. 12(4). 14 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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