Xi Meng

617 total citations
31 papers, 428 citations indexed

About

Xi Meng is a scholar working on Artificial Intelligence, Control and Systems Engineering and Environmental Engineering. According to data from OpenAlex, Xi Meng has authored 31 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 8 papers in Environmental Engineering. Recurrent topics in Xi Meng's work include Machine Learning and ELM (10 papers), Neural Networks and Applications (10 papers) and Air Quality Monitoring and Forecasting (8 papers). Xi Meng is often cited by papers focused on Machine Learning and ELM (10 papers), Neural Networks and Applications (10 papers) and Air Quality Monitoring and Forecasting (8 papers). Xi Meng collaborates with scholars based in China, Malaysia and United Kingdom. Xi Meng's co-authors include Junfei Qiao, Yingying Cui, Junfei Qiao, Jian Sun, Jian Tang, Wenjing Li, Yin Zhang, Jian Tang, Haijun He and Bogdan M. Wilamowski and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Information Sciences.

In The Last Decade

Xi Meng

28 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Meng China 12 167 136 90 65 56 31 428
Gongming Wang China 12 279 1.7× 262 1.9× 48 0.5× 58 0.9× 21 0.4× 27 636
Zhong-Sheng Chen China 8 133 0.8× 157 1.2× 23 0.3× 26 0.4× 23 0.4× 10 398
Xiaochen Hao China 16 110 0.7× 193 1.4× 38 0.4× 23 0.4× 39 0.7× 95 699
Mario Francisco Spain 15 78 0.5× 441 3.2× 62 0.7× 30 0.5× 41 0.7× 56 655
Hongbiao Zhou China 10 167 1.0× 86 0.6× 23 0.3× 14 0.2× 62 1.1× 24 340
Silvana Revollar Spain 13 59 0.4× 324 2.4× 59 0.7× 23 0.4× 41 0.7× 42 540
Yiqi Liu China 12 62 0.4× 196 1.4× 41 0.5× 19 0.3× 22 0.4× 22 465
Meijuan Gao China 12 120 0.7× 115 0.8× 51 0.6× 16 0.2× 11 0.2× 83 512

Countries citing papers authored by Xi Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xi Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Meng. A scholar is included among the top collaborators of Xi Meng 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 Xi Meng. Xi Meng 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.
Meng, Xi, et al.. (2025). A dynamic cooperative optimization method for municipal solid waste incineration process. Scientia Sinica Informationis. 55(5). 1200–1200.
2.
Huang, Weimin, Xi Meng, & Junfei Qiao. (2025). Cooperative Dynamic Multiobjective Optimization With Multi-Time-Scale for MSWI Process. IEEE Transactions on Industrial Electronics. 72(12). 14093–14105. 2 indexed citations
3.
Qiao, Junfei, Weimin Huang, & Xi Meng. (2025). Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process. IEEE Transactions on Evolutionary Computation. 1–1.
4.
Meng, Xi, et al.. (2024). Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application. IEEE Transactions on Industrial Informatics. 20(5). 7173–7182. 2 indexed citations
5.
Cui, Yingying, Xi Meng, & Junfei Qiao. (2024). Multifidelity surrogates-assisted multi-objective particle swarm algorithm for offline data-driven optimization. Applied Intelligence. 54(22). 11649–11671. 1 indexed citations
6.
Meng, Xi, et al.. (2023). Time-series prediction using a regularized self-organizing long short-term memory neural network. Applied Soft Computing. 145. 110553–110553. 8 indexed citations
7.
Qiao, Junfei, et al.. (2023). A Comprehensively Improved Interval Type-2 Fuzzy Neural Network for NOx Emissions Prediction in MSWI Process. IEEE Transactions on Industrial Informatics. 19(11). 11286–11297. 12 indexed citations
8.
Sun, Jian, Xi Meng, & Junfei Qiao. (2023). Data-Driven Optimal Control for Municipal Solid Waste Incineration Process. IEEE Transactions on Industrial Informatics. 19(12). 11444–11454. 23 indexed citations
9.
Meng, Xi, et al.. (2023). Robust Self-Constructing Fuzzy Neural Network-Based Online Estimation for Industrial Product Quality. IEEE Transactions on Industrial Informatics. 20(2). 2213–2222. 3 indexed citations
10.
Qiao, Junfei, et al.. (2023). Interval Type-2 Fuzzy Neural Network Based on Active Semi-Supervised Learning for Non-Stationary Industrial Processes. IEEE Transactions on Automation Science and Engineering. 21(2). 1151–1162. 11 indexed citations
11.
Sun, Jian, Xi Meng, & Junfei Qiao. (2023). Event-Based Data-Driven Adaptive Model Predictive Control for Nonlinear Dynamic Processes. IEEE Transactions on Systems Man and Cybernetics Systems. 54(4). 1982–1994. 6 indexed citations
12.
Meng, Xi, et al.. (2023). A self-organizing fuzzy neural network with hybrid learning algorithm for nonlinear system modeling. Information Sciences. 642. 119145–119145. 8 indexed citations
13.
Meng, Xi, et al.. (2023). NOx emissions prediction for MSWI process based on dynamic modular neural network. Expert Systems with Applications. 238. 122015–122015. 5 indexed citations
14.
He, Haijun, Xi Meng, Jian Tang, & Junfei Qiao. (2023). Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process. Science China Technological Sciences. 66(4). 1096–1109. 7 indexed citations
15.
Cui, Yingying, Xi Meng, & Junfei Qiao. (2023). Multi-condition operational optimization with adaptive knowledge transfer for municipal solid waste incineration process. Expert Systems with Applications. 238. 121783–121783. 13 indexed citations
16.
Qiao, Junfei, Jian Sun, & Xi Meng. (2022). Event-Triggered Adaptive Model Predictive Control of Oxygen Content for Municipal Solid Waste Incineration Process. IEEE Transactions on Automation Science and Engineering. 21(1). 463–474. 23 indexed citations
17.
He, Haijun, Xi Meng, Jian Tang, & Junfei Qiao. (2022). A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process. Neural Computing and Applications. 14 indexed citations
18.
Meng, Xi, Jian Tang, & Junfei Qiao. (2021). NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes. IEEE Transactions on Industrial Informatics. 18(7). 4622–4631. 38 indexed citations
19.
Sun, Jian, Xi Meng, & Junfei Qiao. (2021). Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 30 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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