Zainal Ahmad

2.5k total citations
106 papers, 1.9k citations indexed

About

Zainal Ahmad is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Zainal Ahmad has authored 106 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 32 papers in Biomedical Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Zainal Ahmad's work include Fault Detection and Control Systems (32 papers), Advanced Control Systems Optimization (25 papers) and Biodiesel Production and Applications (19 papers). Zainal Ahmad is often cited by papers focused on Fault Detection and Control Systems (32 papers), Advanced Control Systems Optimization (25 papers) and Biodiesel Production and Applications (19 papers). Zainal Ahmad collaborates with scholars based in Malaysia, Australia and United Kingdom. Zainal Ahmad's co-authors include Jie Zhang, Alireza Bahadori, Dipesh S. Patle, W.C. Leong, Gade Pandu Rangaiah, B.H. Hameed, Sim Siong Leong, JitKang Lim, Tomoaki Kashiwao and Keat Teong Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Langmuir.

In The Last Decade

Zainal Ahmad

100 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zainal Ahmad Malaysia 26 691 451 368 315 270 106 1.9k
Nan Zhang China 31 546 0.8× 860 1.9× 840 2.3× 278 0.9× 153 0.6× 180 2.8k
Ofélia de Queiroz Fernandes Araújo Brazil 30 622 0.9× 892 2.0× 168 0.5× 267 0.8× 210 0.8× 130 2.5k
Xingang Li China 32 766 1.1× 675 1.5× 1.1k 2.9× 154 0.5× 230 0.9× 167 3.0k
Mahdi Sharifzadeh United Kingdom 20 867 1.3× 419 0.9× 253 0.7× 163 0.5× 75 0.3× 39 2.0k
José Luiz de Medeiros Brazil 28 491 0.7× 885 2.0× 159 0.4× 215 0.7× 148 0.5× 122 2.1k
Jens‐Uwe Repke Germany 26 952 1.4× 1.1k 2.4× 757 2.1× 132 0.4× 269 1.0× 276 3.0k
Muhammad Abdul Qyyum South Korea 39 864 1.3× 1.8k 4.0× 370 1.0× 249 0.8× 335 1.2× 150 4.0k
Yun Gao China 22 230 0.3× 659 1.5× 325 0.9× 122 0.4× 180 0.7× 99 1.7k
Young‐Il Lim South Korea 28 1.0k 1.5× 773 1.7× 130 0.4× 79 0.3× 77 0.3× 105 2.0k
Amiya K. Jana India 30 628 0.9× 715 1.6× 1.8k 4.9× 267 0.8× 203 0.8× 157 3.1k

Countries citing papers authored by Zainal Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Zainal Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zainal Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Zainal Ahmad. A scholar is included among the top collaborators of Zainal Ahmad 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 Zainal Ahmad. Zainal Ahmad 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.
Shamsuddin, Rashid, et al.. (2025). Efficient Mercury Removal from Wastewater via Carbonized Inverse Vulcanized Copolymers. ACS ES&T Water. 5(3). 1499–1509.
2.
Tan, Kok Kiong, et al.. (2025). Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction. IIUM Engineering Journal. 26(1). 1–21. 2 indexed citations
3.
Ahmad, Zainal, et al.. (2024). Enhanced Mixing Towards the Production of Fatty Acid Methyl Esters by In Situ Transesterification of Eucheuma Cottonii: Experimental and Computational Fluid Dynamics (CFD) Analysis. Malaysian Journal of Fundamental and Applied Sciences. 20(1). 203–213. 1 indexed citations
4.
Ahmad, Zainal, et al.. (2023). Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction. Applied Soft Computing. 144. 110466–110466. 14 indexed citations
5.
Ahmad, Zainal, et al.. (2022). Can Mentimeter Become an Innovative Media in Sharf Learning?. SHILAP Revista de lepidopterología. 13(2). 51–61.
6.
Ahmad, Zainal, et al.. (2022). Application of artificial neural network to predict water flux from pre-treated palm oil mill effluent using direct contact membrane distillation. Materials Today Proceedings. 63. S411–S417. 9 indexed citations
7.
Ahmad, Zainal, et al.. (2021). Mechanistic model-based control of biodiesel production processes: a review of needs and scopes. Chemical Engineering Communications. 210(2). 274–290. 3 indexed citations
8.
Ahmad, Zainal, et al.. (2017). Graphical User Interface Application in Matlabtm Environment for Water and Air Quality Process Monitoring. SHILAP Revista de lepidopterología. 56. 97–102. 3 indexed citations
9.
Ahmad, Zainal, Alireza Bahadori, & Jie Zhang. (2017). Prediction of combustion efficiency using multiple neural networks. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Don, Mashitah Mat, et al.. (2015). Modeling and Optimisation of Xylose Production by Enzymatic Hydrolysis using Neural Network and Particle Swarm Optimization. Chemical Product and Process Modeling. 10(3). 173–178. 4 indexed citations
11.
Patle, Dipesh S., Zainal Ahmad, & Gade Pandu Rangaiah. (2014). Operator training simulators in the chemical industry: review, issues, and future directions. Reviews in Chemical Engineering. 30(2). 41 indexed citations
12.
Patle, Dipesh S., Shivom Sharma, Zainal Ahmad, & Gade Pandu Rangaiah. (2014). Multi-objective optimization of two alkali catalyzed processes for biodiesel from waste cooking oil. Energy Conversion and Management. 85. 361–372. 73 indexed citations
13.
Bakar, B.H. Abu, et al.. (2012). Physical Performance of Fired Clay Brick Containing Two Types of Rice Husk Ash. 1949–1952. 1 indexed citations
14.
15.
Ahmad, Zainal, et al.. (2010). IMPROVING NONLINEAR PROCESS MODELING USING MULTIPLE NEURAL NETWORK COMBINATION THROUGH BAYESIAN MODEL AVERAGING (BMA). IIUM Engineering Journal. 9(1). 19–36. 1 indexed citations
16.
Dahlan, Irvan, et al.. (2010). Parameters optimization of rice husk ash (RHA)/CaO/CeO2 sorbent for predicting SO2/NO sorption capacity using response surface and neural network models. Journal of Hazardous Materials. 178(1-3). 249–257. 17 indexed citations
17.
Arumugasamy, Senthil Kumar & Zainal Ahmad. (2009). Elevating Model Predictive Control Using Feedforward Artificial Neural Networks: A Review. Chemical Product and Process Modeling. 4(1). 8 indexed citations
18.
Aziz, N., et al.. (2007). Nonlinear Modelling Application in Distillation Column. Chemical Product and Process Modeling. 2(3). 16 indexed citations
19.
Ahmad, Zainal & Jie Zhang. (2005). Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling. Computers & Chemical Engineering. 30(2). 295–308. 36 indexed citations
20.
Ahmad, Tufail, Tanzil Haider Usmani, & Zainal Ahmad. (1990). Activated carbon from indigenous inferior woods part ii. Activation temperature, time and particle size influence.. Pakistan journal of scientific and industrial research. 1 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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