Heng Xia

1.0k total citations
68 papers, 628 citations indexed

About

Heng Xia is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Heng Xia has authored 68 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Industrial and Manufacturing Engineering, 22 papers in Artificial Intelligence and 15 papers in Control and Systems Engineering. Recurrent topics in Heng Xia's work include Municipal Solid Waste Management (22 papers), Machine Learning and ELM (13 papers) and Air Quality Monitoring and Forecasting (13 papers). Heng Xia is often cited by papers focused on Municipal Solid Waste Management (22 papers), Machine Learning and ELM (13 papers) and Air Quality Monitoring and Forecasting (13 papers). Heng Xia collaborates with scholars based in China, Mexico and Syria. Heng Xia's co-authors include Jian Tang, Loai Aljerf, Wen Yu, Junfei Qiao, Prince Onyedinma Ukaogo, Tianzheng Wang, Jiakun Chen, Dandan Wang, Mulugeta Legesse Akele and Junfei Qiao and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Cleaner Production.

In The Last Decade

Heng Xia

55 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heng Xia China 14 194 123 103 94 91 68 628
Fusheng Li China 15 78 0.4× 80 0.7× 37 0.4× 42 0.4× 45 0.5× 33 828
Elena Torfs Belgium 14 84 0.4× 108 0.9× 28 0.3× 108 1.1× 45 0.5× 40 533
Zheng Yao China 14 50 0.3× 89 0.7× 88 0.9× 50 0.5× 98 1.1× 28 602
Norhaliza Abdul Wahab Malaysia 18 106 0.5× 86 0.7× 130 1.3× 148 1.6× 161 1.8× 118 1.0k
Daniel Wild Austria 17 205 1.1× 89 0.7× 14 0.1× 93 1.0× 126 1.4× 35 793
Tapas K. Das United States 16 61 0.3× 117 1.0× 28 0.3× 45 0.5× 90 1.0× 43 712
Michael Bongards Germany 11 225 1.2× 92 0.7× 30 0.3× 86 0.9× 36 0.4× 29 690
Lili Yi China 13 137 0.7× 68 0.6× 41 0.4× 49 0.5× 132 1.5× 51 599
M.A. Latifi France 15 98 0.5× 150 1.2× 26 0.3× 49 0.5× 123 1.4× 62 846

Countries citing papers authored by Heng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Heng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heng Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Heng Xia. A scholar is included among the top collaborators of Heng Xia 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 Heng Xia. Heng Xia 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.
Xia, Heng, et al.. (2025). CO Emission Prediction for MSWI Process Based on Dual-Space Nested Dual-Window Drift Detection. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 1 indexed citations
2.
Xia, Heng, et al.. (2024). AI-based tree modeling for multi-point dioxin concentrations in municipal solid waste incineration. Journal of Hazardous Materials. 480. 135834–135834. 9 indexed citations
3.
Tang, Jian, Heng Xia, Loai Aljerf, et al.. (2024). Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization. Expert Systems with Applications. 257. 125015–125015. 15 indexed citations
4.
5.
Xia, Heng, et al.. (2024). Digital and Culture: Towards More Resilient Urban Community Governance. Land. 13(6). 758–758. 5 indexed citations
6.
Xia, Heng, Jian Tang, Wen Yu, & Junfei Qiao. (2024). Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process. IEEE Transactions on Industrial Electronics. 71(10). 13221–13231. 5 indexed citations
7.
Zhang, Runyu, Jian Tang, Heng Xia, et al.. (2024). Heterogeneous ensemble prediction model of CO emission concentration in municipal solid waste incineration process using virtual data and real data hybrid-driven. Journal of Cleaner Production. 445. 141313–141313. 12 indexed citations
8.
Tang, Jian, et al.. (2024). An Overview of Artificial Intelligence Application for Optimal Control of Municipal Solid Waste Incineration Process. Sustainability. 16(5). 2042–2042. 7 indexed citations
9.
Wang, Tianzheng, et al.. (2024). Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process. Engineering Applications of Artificial Intelligence. 137. 109157–109157. 4 indexed citations
10.
Tang, Jian, et al.. (2024). Multi-objective PSO semi-supervised random forest method for dioxin soft sensor. Engineering Applications of Artificial Intelligence. 135. 108772–108772. 3 indexed citations
11.
Tang, Jian, et al.. (2023). Numerical simulation modelling on whole municipal solid waste incineration process by coupling multiple software for the analysis of grate speed and air volume ratio. Process Safety and Environmental Protection. 176. 506–527. 47 indexed citations
12.
13.
Chen, Jiakun, Jian Tang, Heng Xia, Wen Yu, & Junfei Qiao. (2023). Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm. Fuel. 347. 128511–128511. 16 indexed citations
14.
Tang, Jian, et al.. (2023). Combustion state identification of MSWI processes using ViT-IDFC. Engineering Applications of Artificial Intelligence. 126. 106893–106893. 9 indexed citations
15.
Tang, Jian, et al.. (2023). Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree. IEEE Transactions on Instrumentation and Measurement. 72. 1–14.
16.
Xia, Heng, Jian Tang, Junfei Qiao, Jian Zhang, & Wen Yu. (2022). DF classification algorithm for constructing a small sample size of data-oriented DF regression model. Neural Computing and Applications. 34(4). 2785–2810. 15 indexed citations
17.
Xia, Heng, et al.. (2022). Takagi–Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling. IEEE Transactions on Fuzzy Systems. 31(7). 2210–2224. 10 indexed citations
18.
Xia, Heng, Jian Tang, Wen Yu, & Junfei Qiao. (2022). Tree Broad Learning System for Small Data Modeling. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 8909–8923. 13 indexed citations
19.
Tang, Jian, Heng Xia, Jian Zhang, Junfei Qiao, & Wen Yu. (2021). Deep forest regression based on cross-layer full connection. Neural Computing and Applications. 33(15). 9307–9328. 30 indexed citations
20.
Xia, Heng, Hongzi Tan, Hongyou Cui, et al.. (2020). Tunable selectivity of phenol hydrogenation to cyclohexane or cyclohexanol by a solvent-driven effect over a bifunctional Pd/NaY catalyst. Catalysis Science & Technology. 11(5). 1881–1887. 33 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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