Hongquan Gui

831 total citations · 2 hit papers
23 papers, 592 citations indexed

About

Hongquan Gui is a scholar working on Mechanical Engineering, Computational Mechanics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hongquan Gui has authored 23 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 10 papers in Computational Mechanics and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hongquan Gui's work include Advanced machining processes and optimization (19 papers), Advanced Measurement and Metrology Techniques (18 papers) and Advanced Numerical Analysis Techniques (5 papers). Hongquan Gui is often cited by papers focused on Advanced machining processes and optimization (19 papers), Advanced Measurement and Metrology Techniques (18 papers) and Advanced Numerical Analysis Techniques (5 papers). Hongquan Gui collaborates with scholars based in China, Hong Kong and Saint Kitts and Nevis. Hongquan Gui's co-authors include Chi Ma, Jialan Liu, Shilong Wang, Mengyuan Li, Lang Zhang, Zijie Liu, Lin Zhang, Jun Yang, Qian Chen and Xuesong Mei and has published in prestigious journals such as Expert Systems with Applications, Mechanical Systems and Signal Processing and Applied Soft Computing.

In The Last Decade

Hongquan Gui

23 papers receiving 570 citations

Hit Papers

Modeling and compensation of small-sample thermal error i... 2024 2026 2025 2024 2024 20 40 60
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.

  1. Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network
    2024 60 citations Qian Chen, Xuesong Mei et al. Advanced Engineering Informatics profile →
  2. Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach
    2024 56 citations Chi Ma, Lang Zhang et al. Applied Soft Computing profile →

Peers

Hongquan Gui
Feng Tan China
Fenghe Wu China
Junkang Guo China
Zhongmei Gao China
Baosu Guo China
Antonella Gaspari Italy
Chuanzhi Sun China
Fouad Khaldi Algeria
Feng Tan China
Hongquan Gui
Citations per year, relative to Hongquan Gui Hongquan Gui (= 1×) peers Feng Tan

Countries citing papers authored by Hongquan Gui

Since Specialization
Citations

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

Fields of papers citing papers by Hongquan Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongquan Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Hongquan Gui. A scholar is included among the top collaborators of Hongquan Gui 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 Hongquan Gui. Hongquan Gui 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.
Chen, Qian, Xuesong Mei, Jun Yang, et al.. (2024). Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network. Advanced Engineering Informatics. 62. 102741–102741. 60 indexed citations breakdown →
2.
Ma, Chi, et al.. (2024). Predicting and compensating for small-sample thermal information data in precision machine tools: A spatial-temporal interactive integration network and digital twin system approach. Applied Soft Computing. 161. 111760–111760. 56 indexed citations breakdown →
3.
Gui, Hongquan, et al.. (2024). A behavioral conditional diffusion probabilistic model for human motion modeling in multi-action mixed human-robot collaboration. Advanced Engineering Informatics. 62. 102742–102742. 4 indexed citations
4.
5.
Gui, Hongquan, Jialan Liu, Chi Ma, Mengyuan Li, & Shilong Wang. (2023). New machine learning application platform for spatial–temporal thermal error prediction and control with STFGCN for ball screw system. Mechanical Systems and Signal Processing. 192. 110240–110240. 13 indexed citations
6.
Zeng, Shuang, Chi Ma, Jialan Liu, Mengyuan Li, & Hongquan Gui. (2023). Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework. Applied Soft Computing. 138. 110221–110221. 15 indexed citations
7.
Gui, Hongquan, Jialan Liu, Chi Ma, & Mengyuan Li. (2023). Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model. Journal of Intelligent Manufacturing. 35(3). 1173–1196. 10 indexed citations
8.
Liu, Jialan, Chi Ma, Hongquan Gui, & Shilong Wang. (2023). Intelligent digital-twin prediction and reverse control system architecture for thermal errors enabled by deep learning and cloud-edge computing. Expert Systems with Applications. 225. 120122–120122. 24 indexed citations
9.
10.
Zhang, Lang, Jialan Liu, Chi Ma, & Hongquan Gui. (2023). Intelligent integrated framework towards high-accuracy machining. Engineering Science and Technology an International Journal. 40. 101359–101359. 12 indexed citations
11.
Zhang, Lin, Chi Ma, Jialan Liu, Hongquan Gui, & Shilong Wang. (2023). Implementation of Precision Machine Tool Thermal Error Compensation in Edge-Cloud-Fog Computing Architecture. Journal of Manufacturing Science and Engineering. 145(7). 8 indexed citations
12.
Gui, Hongquan, Jialan Liu, Chi Ma, Mengyuan Li, & Shilong Wang. (2022). Mist-edge-fog-cloud computing system for geometric and thermal error prediction and compensation of worm gear machine tools based on ONT-GCN spatial–temporal model. Mechanical Systems and Signal Processing. 184. 109682–109682. 36 indexed citations
13.
Gui, Hongquan, Jialan Liu, Chi Ma, Mengyuan Li, & Shilong Wang. (2022). New mist-edge-fog-cloud system architecture for thermal error prediction and control enabled by deep-learning. Engineering Applications of Artificial Intelligence. 109. 104626–104626. 18 indexed citations
14.
Yuan, Qiang, Chi Ma, Jialan Liu, et al.. (2022). Correlation analysis-based thermal error control with ITSA-GRU-A model and cloud-edge-physical collaboration framework. Advanced Engineering Informatics. 54. 101759–101759. 25 indexed citations
15.
Liu, Jialan, Chi Ma, Hongquan Gui, & Shilong Wang. (2021). Thermally-induced error compensation of spindle system based on long short term memory neural networks. Applied Soft Computing. 102. 107094–107094. 92 indexed citations
16.
Liu, Jialan, Chi Ma, Hongquan Gui, & Shilong Wang. (2021). Simultaneous geometric and thermal error control of gear profile grinder based on analytical correlation between tooth surface error and position error of grinding wheel/workpiece. Mechanism and Machine Theory. 169. 104639–104639. 18 indexed citations
17.
Liu, Jialan, Chi Ma, Hongquan Gui, & Shilong Wang. (2021). A four-terminal-architecture cloud-edge-based digital twin system for thermal error control of key machining equipment in production lines. Mechanical Systems and Signal Processing. 166. 108488–108488. 36 indexed citations
18.
Liu, Jialan, Hongquan Gui, & Chi Ma. (2021). Digital twin system of thermal error control for a large-size gear profile grinder enabled by gated recurrent unit. Journal of Ambient Intelligence and Humanized Computing. 14(2). 1269–1295. 23 indexed citations
19.
Liu, Jialan, et al.. (2021). Thermal Contact Conductance Modeling of Tapered Roller/Groove Interface. SSRN Electronic Journal. 1 indexed citations
20.
Liu, Jialan, Chi Ma, Hongquan Gui, & Shilong Wang. (2021). Transfer learning-based thermal error prediction and control with deep residual LSTM network. Knowledge-Based Systems. 237. 107704–107704. 54 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Feng Tan Breakdown of academic impact, for papers by Fenghe Wu Breakdown of academic impact, for papers by Junkang Guo Breakdown of academic impact, for papers by Zhongmei Gao Breakdown of academic impact, for papers by Baosu Guo Breakdown of academic impact, for papers by Antonella Gaspari Breakdown of academic impact, for papers by Chuanzhi Sun Breakdown of academic impact, for papers by Fouad Khaldi
Rankless by CCL
2026