Jianguo Yang

3.4k total citations · 1 hit paper
106 papers, 2.7k citations indexed

About

Jianguo Yang is a scholar working on Mechanical Engineering, Computational Mechanics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jianguo Yang has authored 106 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Mechanical Engineering, 40 papers in Computational Mechanics and 21 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jianguo Yang's work include Advanced Measurement and Metrology Techniques (65 papers), Advanced machining processes and optimization (60 papers) and Advanced Numerical Analysis Techniques (35 papers). Jianguo Yang is often cited by papers focused on Advanced Measurement and Metrology Techniques (65 papers), Advanced machining processes and optimization (60 papers) and Advanced Numerical Analysis Techniques (35 papers). Jianguo Yang collaborates with scholars based in China, United States and Macao. Jianguo Yang's co-authors include Sitong Xiang, Zhengchun Du, Beizhi Li, Kaiguo Fan, Xingjun Tian, Meng Gao, Huaping Liu, Jianhua Liu, Xiaobing Feng and Ming Deng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Hazardous Materials.

In The Last Decade

Jianguo Yang

103 papers receiving 2.6k citations

Hit Papers

An improved ant colony algorithm for robot path planning 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianguo Yang China 29 1.9k 710 494 427 405 106 2.7k
Zhihua Zhong China 24 286 0.1× 408 0.6× 77 0.2× 188 0.4× 110 0.3× 123 1.8k
Sze Zheng Yong United States 15 406 0.2× 622 0.9× 34 0.1× 773 1.8× 924 2.3× 83 3.3k
Zhipeng Wang China 23 571 0.3× 82 0.1× 180 0.4× 151 0.4× 219 0.5× 111 1.5k
R.M. Goodall United Kingdom 33 2.8k 1.4× 95 0.1× 704 1.4× 129 0.3× 22 0.1× 246 4.1k
Xiaolan Wang China 22 433 0.2× 108 0.2× 104 0.2× 138 0.3× 171 0.4× 116 1.4k
Xiukun Wei China 20 740 0.4× 62 0.1× 241 0.5× 90 0.2× 143 0.4× 74 1.4k
Juan José Aguilar Martín Spain 22 1.1k 0.5× 321 0.5× 274 0.6× 225 0.5× 561 1.4× 87 1.6k
Hongfu Zuo China 20 495 0.3× 47 0.1× 173 0.4× 134 0.3× 56 0.1× 163 1.7k
Liang Chen China 21 788 0.4× 29 0.0× 115 0.2× 78 0.2× 135 0.3× 130 2.3k
Liping Wang China 24 565 0.3× 77 0.1× 318 0.6× 485 1.1× 112 0.3× 80 1.9k

Countries citing papers authored by Jianguo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jianguo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianguo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianguo Yang. A scholar is included among the top collaborators of Jianguo Yang 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 Jianguo Yang. Jianguo Yang 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.
Yang, Jianguo, Qingping Du, Xiaolu Jiang, et al.. (2025). Effects of different natural organic matter on catalytic properties of green rust: Mechanism and environmental significance. Journal of Hazardous Materials. 491. 137937–137937. 3 indexed citations
4.
Xiang, Sitong, et al.. (2024). A hyperparameter optimization-assisted deep learning method towards thermal error modeling of spindles. ISA Transactions. 156. 434–445. 5 indexed citations
5.
Sun, Guosheng, Kaiguo Fan, & Jianguo Yang. (2024). Digital-driven in-situ monitoring for thermally-induced volumetric errors of CNC machine tools. Journal of Manufacturing Processes. 131. 2000–2015. 9 indexed citations
6.
Chen, Ying, Lin Luo, Weiqi Jin, et al.. (2024). Target positioning method for Tian-shaped four-aperture infrared biomimetic compound eyes. Optics and Precision Engineering. 32(12). 1836–1848.
7.
Xiang, Sitong, et al.. (2024). Optimal proportion compensation method of key geometric errors for five-axis machine tools considering multiple-direction coupling effects. Journal of Manufacturing Processes. 110. 447–461. 18 indexed citations
8.
Wang, Sheng, et al.. (2024). Structure–Tissue Exposure/Selectivity Relationship (STR) on Carbamates of Cannabidiol. International Journal of Molecular Sciences. 25(22). 11888–11888. 1 indexed citations
10.
Li, Huanhuan, et al.. (2023). Microtiter plate-based chemistry and in situ screening: SuFEx-enabled lead discovery of selective AChE inhibitors. Journal of Enzyme Inhibition and Medicinal Chemistry. 38(1). 2237213–2237213. 3 indexed citations
11.
Liu, Puling, Zhengchun Du, Huimin Li, et al.. (2020). A novel comprehensive thermal error modeling method by using the workpiece inspection data from production line for CNC machine tool. The International Journal of Advanced Manufacturing Technology. 107(9-10). 3921–3930. 8 indexed citations
12.
Xiang, Sitong, et al.. (2019). Cross-rail deformation modeling, measurement and compensation for a gantry slideway grinding machine considering thermal effects. Measurement Science and Technology. 30(6). 65007–65007. 9 indexed citations
13.
Yang, Yun, et al.. (2019). Uncertainty evaluation of straightness in coordinate measuring machines based on error ellipse theory integrated with Monte Carlo method. Measurement Science and Technology. 31(3). 35008–35008. 5 indexed citations
14.
Deng, Ming, et al.. (2019). Volumetric error measurement and compensation of three-axis machine tools based on laser bidirectional sequential step diagonal measuring method. Measurement Science and Technology. 31(5). 55201–55201. 22 indexed citations
16.
Guo, Qianjian, et al.. (2017). Spindle Thermal Error Optimization Modeling of a Five-axis Machine Tool. Chinese Journal of Mechanical Engineering. 30(3). 746–753. 22 indexed citations
17.
Xiang, Sitong, Xiaolong Zhu, & Jianguo Yang. (2014). Modeling for spindle thermal error in machine tools based on mechanism analysis and thermal basic characteristics tests. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 228(18). 3381–3394. 22 indexed citations
18.
Yang, Jianguo. (2013). Research on the Thermal Deformation Pseudo-lag and Real-time Compensation for CNC Machine Tool Spindle. Journal of Mechanical Engineering. 49(23). 129–129. 8 indexed citations
19.
Zhang, Yi, Jianguo Yang, & Kun Zhang. (2012). Geometric error measurement and compensation for the rotary table of five-axis machine tool with double ballbar. The International Journal of Advanced Manufacturing Technology. 65(1-4). 275–281. 51 indexed citations
20.
Zhang, Jialiang, Jianguo Yang, & Beizhi Li. (2009). Development of a reconfigurable welding fixture system for automotive body. 736–742. 10 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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