Jiangxin Yang

1.8k total citations
70 papers, 1.4k citations indexed

About

Jiangxin Yang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Jiangxin Yang has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Industrial and Manufacturing Engineering, 26 papers in Computer Vision and Pattern Recognition and 24 papers in Mechanical Engineering. Recurrent topics in Jiangxin Yang's work include Manufacturing Process and Optimization (27 papers), Advanced Measurement and Metrology Techniques (12 papers) and Additive Manufacturing and 3D Printing Technologies (12 papers). Jiangxin Yang is often cited by papers focused on Manufacturing Process and Optimization (27 papers), Advanced Measurement and Metrology Techniques (12 papers) and Additive Manufacturing and 3D Printing Technologies (12 papers). Jiangxin Yang collaborates with scholars based in China, Netherlands and France. Jiangxin Yang's co-authors include Yanlong Cao, Yanpeng Cao, Michael Ying Yang, Guizhong Fu, Wenbin Zhu, Zewei He, Peize Sun, Siliang Tang, Ting Liu and Chunbiao Gan and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Letters and Optics Express.

In The Last Decade

Jiangxin Yang

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiangxin Yang China	19	522	449	405	220	190	70	1.4k
Yanlong Cao China	24	617 1.2×	829 1.8×	518 1.3×	415 1.9×	234 1.2×	117	2.2k
Ngaiming Kwok Australia	22	240 0.5×	611 1.4×	486 1.2×	272 1.2×	98 0.5×	63	1.7k
Zhiwei Han China	21	599 1.1×	338 0.8×	747 1.8×	145 0.7×	128 0.7×	87	1.8k
Xilong Liu China	15	488 0.9×	726 1.6×	343 0.8×	143 0.7×	102 0.5×	46	1.4k
Yanpeng Cao China	23	321 0.6×	1.1k 2.4×	198 0.5×	505 2.3×	170 0.9×	82	1.9k
Heping Chen United States	25	493 0.9×	475 1.1×	663 1.6×	50 0.2×	219 1.2×	188	2.1k
Haiyong Chen China	22	1.0k 2.0×	621 1.4×	342 0.8×	114 0.5×	178 0.9×	92	1.7k
Zhipeng Wang China	23	180 0.3×	219 0.5×	571 1.4×	98 0.4×	82 0.4×	111	1.5k
Dong‐Joong Kang South Korea	17	283 0.5×	458 1.0×	158 0.4×	141 0.6×	67 0.4×	70	904
Xiaojun Wu China	15	186 0.4×	407 0.9×	174 0.4×	52 0.2×	153 0.8×	112	893

Countries citing papers authored by Jiangxin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jiangxin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangxin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangxin Yang. A scholar is included among the top collaborators of Jiangxin 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 Jiangxin Yang. Jiangxin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hu, Bingtao, et al.. (2025). Digital Twin-driven Inversion of Assembly Precision for Industrial Equipment: Challenges, Progress and Perspectives. Chinese Journal of Mechanical Engineering. 38(1). 1 indexed citations

Hu, Xiaokun, et al.. (2025). Assembly tolerance analysis for spacecraft cabin considering non-ideal surface. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.

Yang, Jiangxin, et al.. (2025). Tolerance-cost optimization for multi-cabin spacecraft assembly considering form errors. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 239(12). 4367–4379.

Yang, Jiangxin, et al.. (2025). SC³EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration. IEEE Transactions on Intelligent Transportation Systems. 26(6). 7523–7539.

Zhao, Bowen, et al.. (2025). A high-quality Suns-EL imaging method for operating photovoltaic modules under variable sunlight conditions. Solar Energy. 288. 113224–113224. 1 indexed citations

Liu, Fan, et al.. (2024). A Boundary Partitioning Algorithm for Geometrical Product Deviation Evaluation. Procedia CIRP. 129. 115–120.

Hu, Bingtao, et al.. (2024). A digital twin-driven human-machine interactive assembly method based on lightweight multi-target detection and assembly feature generation. International Journal of Production Research. 1–23. 3 indexed citations

Yang, Jiangxin, et al.. (2024). Kinematic accuracy analysis for cam mechanism considering dynamic behavior and form deviations. Precision Engineering. 88. 109–116. 3 indexed citations

Zhao, Bowen, et al.. (2024). High-precision optical modeling method for galvanometer-driven dual-camera systems. Optics Letters. 49(20). 5897–5897.

10.

Zhu, Wenbin, Rui Liang, Jiangxin Yang, et al.. (2023). A sub-region Unet for weak defects segmentation with global information and mask-aware loss. Engineering Applications of Artificial Intelligence. 122. 106011–106011. 28 indexed citations

11.

Yang, Jiangxin, et al.. (2023). Light field angular super-resolution based on intrinsic and geometric information. Knowledge-Based Systems. 270. 110553–110553. 4 indexed citations

12.

Cao, Yanlong, Wenbin Zhu, Jiangxin Yang, et al.. (2022). An effective industrial defect classification method under the few-shot setting via two-stream training. Optics and Lasers in Engineering. 161. 107294–107294. 19 indexed citations

13.

Cao, Yanpeng, et al.. (2021). Multi-sensor spatial augmented reality for visualizing the invisible thermal information of 3D objects. Optics and Lasers in Engineering. 145. 106634–106634. 8 indexed citations

14.

Fu, Guizhong, Peize Sun, Wenbin Zhu, et al.. (2019). A deep-learning-based approach for fast and robust steel surface defects classification. Optics and Lasers in Engineering. 121. 397–405. 198 indexed citations

15.

Liu, Mingzhou, et al.. (2016). A new method for arrival time determination of impact signal based on HHT and AIC. Mechanical Systems and Signal Processing. 86. 177–187. 26 indexed citations

16.

Yang, Jiangxin. (2009). De-noising method for non-stationary vibration signals of large rotating machineries based on ensemble empirical mode decomposition. Zhendong yu chongji. 4 indexed citations

17.

Yang, Jiangxin. (2008). A new method for restraining the end effect of empirical mode decomposition and its applications to signal feature extraction. Journal of vibrational engineering & technologies. 2 indexed citations

18.

Yang, Jiangxin. (2008). Separation method for shape grading of pearls using computer vision. Journal of Engineering Design. 1 indexed citations

19.

Cao, Yanlong, Yusheng Liu, Jian Mao, & Jiangxin Yang. (2006). 3DTS: A 3D tolerancing system based on mathematical definition. Journal of Zhejiang University. Science A. 7(11). 1810–1818. 5 indexed citations

20.

Cao, Yanlong, et al.. (2006). A Robust Tolerance Design Method Based on Fuzzy Quality Loss. Frontiers of Mechanical Engineering in China. 1(1). 101–105. 4 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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