Wei Yu

3.9k total citations · 3 hit papers
157 papers, 2.9k citations indexed

About

Wei Yu is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Wei Yu has authored 157 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Control and Systems Engineering, 33 papers in Industrial and Manufacturing Engineering and 31 papers in Mechanical Engineering. Recurrent topics in Wei Yu's work include Advanced Control Systems Optimization (32 papers), Phosphorus and nutrient management (28 papers) and Fault Detection and Control Systems (27 papers). Wei Yu is often cited by papers focused on Advanced Control Systems Optimization (32 papers), Phosphorus and nutrient management (28 papers) and Fault Detection and Control Systems (27 papers). Wei Yu collaborates with scholars based in New Zealand, China and Canada. Wei Yu's co-authors include Brent R. Young, Bing Li, Irina Boiarkina, Muhammad Tajammal Munir, David I. Wilson, Hai Huang, Isuru A. Udugama, Timothy Gordon Walmsley, Panos Patros and Yue Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Wei Yu

148 papers receiving 2.8k 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.

Energy digital twin technology for industrial energy management: Classification, challenges and future

2022 233 citations Wei Yu, Brent R. Young et al. profile →
The Application of Artificial Intelligence and Big Data in the Food Industry

2023 90 citations Jiawei Tian, Wei Yu et al. Foods profile →
Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety

2025 18 citations Long Wang, Xiaohui Cui et al. Foods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Yu New Zealand	29	1.1k	486	418	361	340	157	2.9k
Jeng Shiun Lim Malaysia	31	740 0.7×	326 0.7×	622 1.5×	645 1.8×	1.1k 3.3×	140	4.5k
Hongbin Liu China	27	314 0.3×	441 0.9×	397 0.9×	228 0.6×	206 0.6×	102	2.4k
Benyamin Khoshnevisan Iran	44	682 0.6×	515 1.1×	116 0.3×	388 1.1×	1.1k 3.2×	102	5.2k
Zhiwei Wang China	30	212 0.2×	346 0.7×	202 0.5×	708 2.0×	486 1.4×	258	3.3k
Parisa A. Bahri Australia	36	253 0.2×	630 1.3×	488 1.2×	273 0.8×	648 1.9×	136	4.0k
Tetsuji Okuda Japan	27	572 0.5×	930 1.9×	401 1.0×	212 0.6×	315 0.9×	112	2.8k
Alvin B. Culaba Philippines	34	377 0.4×	295 0.6×	516 1.2×	432 1.2×	1.6k 4.6×	192	4.0k
Jens Bo Holm‐Nielsen Denmark	42	438 0.4×	330 0.7×	1.4k 3.5×	507 1.4×	1.2k 3.4×	144	6.5k
Aristotle T. Ubando Philippines	31	410 0.4×	237 0.5×	335 0.8×	585 1.6×	1.8k 5.3×	192	4.0k
Silvia Curteanu Romania	23	302 0.3×	225 0.5×	290 0.7×	189 0.5×	236 0.7×	110	1.7k

Countries citing papers authored by Wei Yu

Since Specialization

Citations

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

Fields of papers citing papers by Wei Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yu

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

Hu, Andong, Jia Zhang, Wei Yu, et al.. (2025). Light-driven biohybrid for phosphorus recovery via struvite biomineralization in tetracycline-laden livestock wastewater. Water Research. 282. 123745–123745. 2 indexed citations

Yu, Wei, et al.. (2025). Artificial intelligence enhances food testing process: A comprehensive review. Food Bioscience. 68. 106404–106404. 6 indexed citations

Ma, Haoming, Yang Lu, Zhenqian Xue, et al.. (2025). Cybersecurity and cyber-attacks in the growing natural gas and hydrogen Industry: A systematic review of challenges and opportunities. Gas Science and Engineering. 143. 205744–205744. 1 indexed citations

Song, Y. X., et al.. (2025). Integration of Distributed Technologies for Intelligent Food Quality and Safety Management: Blockchain, IoT, and Federated Learning. Food Reviews International. 41(9). 3016–3038. 2 indexed citations

Wang, Long, et al.. (2025). Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety. Foods. 14(2). 247–247. 18 indexed citations breakdown →

Yao, Le, et al.. (2025). OSF-JS: Orthonormal Slow Feature-Based Quality-Related Data Decomposition Network With Jensen–Shannon Divergence for Chemical Processes Incipient Fault Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.

Munir, Muhammad Tajammal, Wei Yu, Xiaofeng Wu, et al.. (2024). Struvite biomineralization as a promising solution to break the pollutant-resource paradox of phosphorus. Chemical Engineering Journal. 493. 152437–152437. 12 indexed citations

Wang, Chao, et al.. (2024). Applications of Big Data and Blockchain Technology in Food Testing and Their Exploration on Educational Reform. Foods. 13(21). 3391–3391.

Li, Jing, et al.. (2024). Insight into heterovalent metal modification for lanthanum carbonate to enhance phosphate removal at trace levels. Chemical Engineering Journal. 502. 157879–157879. 2 indexed citations

10.

Yao, Le, et al.. (2024). Deep Spatial–Temporal Slow Feature Transfer Network for Multimode Chemical Process Soft Sensing on Imbalanced Data. IEEE Transactions on Industrial Informatics. 21(3). 2264–2273. 1 indexed citations

11.

Yu, Wei, et al.. (2024). Multi-criteria optimisation of subcritical wet oxidation for sludge treatment. Chemosphere. 364. 143223–143223. 2 indexed citations

12.

Li, Jing, Haiming Huang, Wei Yu, & Brent R. Young. (2023). A novel lanthanum carbonate for low-level phosphorus removal: Adsorption performance and mechanism. Chemical Engineering Journal. 473. 145225–145225. 32 indexed citations

13.

Yu, Wei, et al.. (2023). COVERT: A classless approach to generating balanced datasets for process modelling. ISA Transactions. 144. 1–10.

14.

Wilson, David I., et al.. (2023). Application of Three-Dimensional Digital Photogrammetry to Quantify the Surface Roughness of Milk Powder. Foods. 12(5). 967–967. 2 indexed citations

15.

Tian, Jiawei, Wei Yu, David I. Wilson, et al.. (2023). The Application of Artificial Intelligence and Big Data in the Food Industry. Foods. 12(24). 4511–4511. 90 indexed citations breakdown →

16.

Wilson, David I., et al.. (2021). An investigation of the relative impact of process and shape factor variables on milk powder quality. Food and Bioproducts Processing. 126. 62–72. 14 indexed citations

17.

Li, Bing, et al.. (2020). Application of mechanistic modelling and machine learning for cream cheese fermentation pH prediction. Journal of Chemical Technology & Biotechnology. 96(1). 125–133. 25 indexed citations

18.

Udugama, Isuru A., R. James Kirkpatrick, Wei Yu, et al.. (2020). Separation of middle boiling trace compounds by distillation: An investigation of practical implications of complex column arrangements on an industrial methanol distillation case study. Asia-Pacific Journal of Chemical Engineering. 16(1). 4 indexed citations

19.

Munir, Muhammad Tajammal, et al.. (2020). Near‐infrared spectroscopy and data analysis for predicting milk powder quality attributes. International Journal of Dairy Technology. 74(1). 235–245. 25 indexed citations

20.

Boiarkina, Irina, et al.. (2015). Significance of powder breakdown during in-plant transport at industrial milk powder plants. AUT Scholarly Commons. 326. 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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