Daoping Huang

1.4k total citations
76 papers, 1.2k citations indexed

About

Daoping Huang is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daoping Huang has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Control and Systems Engineering, 22 papers in Artificial Intelligence and 19 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daoping Huang's work include Fault Detection and Control Systems (47 papers), Water Quality Monitoring and Analysis (19 papers) and Mineral Processing and Grinding (17 papers). Daoping Huang is often cited by papers focused on Fault Detection and Control Systems (47 papers), Water Quality Monitoring and Analysis (19 papers) and Mineral Processing and Grinding (17 papers). Daoping Huang collaborates with scholars based in China, Australia and Singapore. Daoping Huang's co-authors include Yiqi Liu, Yongping Pan, Meng Joo Er, Hongchao Cheng, Qilin Wang, Qinruo Wang, Yiqi Liu, Jing Wu, Dong Li and Bin Liu and has published in prestigious journals such as Scientific Reports, IEEE Access and Journal of Environmental Management.

In The Last Decade

Daoping Huang

73 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daoping Huang China 22 826 299 272 234 220 76 1.2k
Petr Kadlec Czechia 11 1.8k 2.2× 373 1.2× 162 0.6× 768 3.3× 88 0.4× 51 2.3k
Aldo Cipriano Chile 21 517 0.6× 141 0.5× 47 0.2× 311 1.3× 210 1.0× 105 1.3k
Ratko Grbić Croatia 13 591 0.7× 178 0.6× 59 0.2× 248 1.1× 66 0.3× 65 1.1k
Jérôme Mendes Portugal 15 434 0.5× 280 0.9× 55 0.2× 111 0.5× 63 0.3× 53 807
Bei Sun China 20 548 0.7× 181 0.6× 41 0.2× 380 1.6× 71 0.3× 105 1.2k
Francisco Souza Portugal 15 466 0.6× 305 1.0× 52 0.2× 136 0.6× 48 0.2× 47 820
Junfei Qiao China 19 544 0.7× 300 1.0× 136 0.5× 80 0.3× 186 0.8× 134 1.1k
Yuri A.W. Shardt Germany 21 1.3k 1.6× 365 1.2× 46 0.2× 563 2.4× 36 0.2× 89 1.7k
Dakuo He China 19 466 0.6× 227 0.8× 28 0.1× 308 1.3× 82 0.4× 113 1.0k
José Ragot France 31 2.6k 3.1× 488 1.6× 39 0.1× 335 1.4× 58 0.3× 212 3.0k

Countries citing papers authored by Daoping Huang

Since Specialization
Citations

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

Fields of papers citing papers by Daoping Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoping Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Daoping Huang. A scholar is included among the top collaborators of Daoping Huang 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 Daoping Huang. Daoping Huang 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.
Huang, Daoping, et al.. (2024). Distributed process monitoring of the large-scale system using spatio-temporal-causality and Wasserstein-distance-based canonical variate analysis. Journal of Process Control. 146. 103367–103367. 2 indexed citations
2.
Fang, Gang, Daoping Huang, Zhiying Wu, et al.. (2024). Effluent quality soft sensor for wastewater treatment plant with ensemble sparse learning-based online next generation reservoir computing. Water Research X. 25. 100276–100276. 1 indexed citations
3.
Yang, Chunhua, et al.. (2024). Learning a neural network-based soft sensor with double-errors parallel optimization towards effluent variable prediction in wastewater treatment plants. Journal of Environmental Management. 366. 121907–121907. 5 indexed citations
4.
Chen, Yan, Daoping Huang, Jing Wu, et al.. (2024). Towards sludge bulking diagnosis via dynamic attention graph neural network. Journal of Water Process Engineering. 69. 106774–106774. 1 indexed citations
5.
Liu, Yiqi, et al.. (2023). A Hierarchical Soft-Sensor Using Spatiotemporal Information Transformation and ARMA With Application in Wastewater Treatment. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 9 indexed citations
6.
Liu, Yiqi, et al.. (2023). Development of an Adversarial Transfer Learning-Based Soft Sensor in Industrial Systems. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 14 indexed citations
7.
Liu, Yiqi, et al.. (2023). Multi-step and multi-task learning to predict quality-related variables in wastewater treatment processes. Process Safety and Environmental Protection. 180. 404–416. 6 indexed citations
8.
Yang, Chunhua, et al.. (2023). A deep semi-supervised learning framework towards multi-output soft sensors development and applications in wastewater treatment processes. Journal of Water Process Engineering. 57. 104654–104654. 13 indexed citations
9.
Liu, Yiqi, et al.. (2022). A Semisupervised Soft-Sensor of Just-in-Time Learning With Structure Entropy Clustering and Applications for Industrial Processes Monitoring. IEEE Transactions on Artificial Intelligence. 4(4). 722–733. 18 indexed citations
10.
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12.
Li, Dong, Daoping Huang, & Yiqi Liu. (2021). A novel two-step adaptive multioutput semisupervised soft sensor with applications in wastewater treatment. Environmental Science and Pollution Research. 28(23). 29131–29145. 10 indexed citations
13.
14.
Wu, Jing, et al.. (2020). Learning soft sensors using time difference–based multi-kernel relevance vector machine with applications for quality-relevant monitoring in wastewater treatment. Environmental Science and Pollution Research. 27(23). 28986–28999. 21 indexed citations
15.
Cheng, Hongchao, et al.. (2020). A Novel Ensemble Adaptive Sparse Bayesian Transfer Learning Machine for Nonlinear Large-Scale Process Monitoring. Sensors. 20(21). 6139–6139. 14 indexed citations
16.
Pan, Yongping, et al.. (2012). Adaptive fuzzy control with high accuracy for uncertain nonlinear systems. Dianzi Ke-ji Daxue xuebao. 41(1). 1 indexed citations
17.
Pan, Yongping, Meng Joo Er, Daoping Huang, & Tairen Sun. (2012). Practical adaptive fuzzy H∞ tracking control of uncertain nonlinear systems. International Journal of Fuzzy Systems. 14(4). 23 indexed citations
18.
Pan, Yongping, et al.. (2011). Overview of type-2 fuzzy logic control. Control theory & applications. 28(1). 13–23. 6 indexed citations
19.
Pan, Yongping, et al.. (2011). Backstepping adaptive fuzzy control for track-keeping of underactuated surface vessels. Control theory & applications. 28(7). 7 indexed citations
20.
Pan, Yongping, et al.. (2011). A survey of type-2 fuzzy sets and systems. Control theory & applications. 28(12). 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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