Yanlong Cao

3.8k total citations
117 papers, 2.2k citations indexed

About

Yanlong Cao is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Yanlong Cao has authored 117 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Industrial and Manufacturing Engineering, 41 papers in Computer Vision and Pattern Recognition and 32 papers in Mechanical Engineering. Recurrent topics in Yanlong Cao's work include Manufacturing Process and Optimization (36 papers), Advanced Measurement and Metrology Techniques (18 papers) and Advanced machining processes and optimization (14 papers). Yanlong Cao is often cited by papers focused on Manufacturing Process and Optimization (36 papers), Advanced Measurement and Metrology Techniques (18 papers) and Advanced machining processes and optimization (14 papers). Yanlong Cao collaborates with scholars based in China, United Kingdom and Netherlands. Yanlong Cao's co-authors include Jiangxin Yang, Yanpeng Cao, Michael Ying Yang, Jiangxin Yang, Guizhong Fu, Dayan Guan, Wenbin Zhu, Zewei He, Qinghua Wu and Peize Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Yanlong Cao

106 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanlong Cao China 24 829 617 518 415 235 117 2.2k
Jiangxin Yang China 19 449 0.5× 522 0.8× 405 0.8× 220 0.5× 108 0.5× 70 1.4k
Yanpeng Cao China 23 1.1k 1.3× 321 0.5× 198 0.4× 505 1.2× 341 1.5× 82 1.9k
Ngaiming Kwok Australia 22 611 0.7× 240 0.4× 486 0.9× 272 0.7× 118 0.5× 63 1.7k
Junfeng Fan China 27 771 0.9× 542 0.9× 851 1.6× 116 0.3× 268 1.1× 111 2.2k
Zhongwei Li China 27 1.1k 1.3× 187 0.3× 850 1.6× 341 0.8× 105 0.4× 119 2.4k
Hongli Liu China 26 454 0.5× 205 0.3× 428 0.8× 224 0.5× 383 1.6× 208 2.1k
İlhan Aydın Türkiye 28 352 0.4× 366 0.6× 698 1.3× 175 0.4× 55 0.2× 144 2.0k
Peize Sun Hong Kong 13 1.9k 2.2× 328 0.5× 138 0.3× 274 0.7× 313 1.3× 13 2.5k
N. M. Kwok Australia 24 1.1k 1.4× 128 0.2× 473 0.9× 233 0.6× 790 3.4× 110 2.6k
Yu He China 27 1.1k 1.3× 1.4k 2.2× 575 1.1× 234 0.6× 80 0.3× 105 3.3k

Countries citing papers authored by Yanlong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yanlong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Yanlong Cao. A scholar is included among the top collaborators of Yanlong Cao 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 Yanlong Cao. Yanlong Cao 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.
Shi, Boxin, et al.. (2025). Revisiting Supervised Learning-Based Photometric Stereo Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6320–6337.
2.
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.
3.
Zhang, Bao–Lin, et al.. (2025). Reinforcement learning-based backstepping sliding mode heading control for unmanned sailboats. Ocean Engineering. 327. 120936–120936.
4.
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.
5.
Yu, Haiyang, et al.. (2025). Disturbance observer-based composite recoil controller design for deepwater drilling riser systems after emergency disconnection. Ocean Engineering. 329. 121108–121108. 1 indexed citations
6.
Wang, Haocheng, et al.. (2024). Structerf-SLAM: Neural implicit representation SLAM for structural environments. Computers & Graphics. 119. 103893–103893. 3 indexed citations
7.
Liu, Fan, et al.. (2024). A Boundary Partitioning Algorithm for Geometrical Product Deviation Evaluation. Procedia CIRP. 129. 115–120.
8.
Liu, Fan, et al.. (2024). A Fast flatness deviation evaluation algorithm for point cloud data. Precision Engineering. 92. 90–100.
9.
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
10.
Yang, Kaili, Yi Gan, Yanlong Cao, Jiangxin Yang, & Zijian Wu. (2023). Optimization of 3D Tolerance Design Based on Cost–Quality–Sensitivity Analysis to the Deviation Domain. SHILAP Revista de lepidopterología. 4(2). 123–150. 3 indexed citations
11.
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
12.
Zhao, Bowen, et al.. (2023). Two-stage convolutional neural network for joint removal of sensor noise and background interference in lock-in thermography. NDT & E International. 137. 102816–102816. 15 indexed citations
13.
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
14.
Cao, Yanpeng, Wenbin Zhu, Bowen Zhao, et al.. (2022). Dynamic-excitation-based steady-state non-line-of-sight imaging via multi-branch convolutional neural network. Optics and Lasers in Engineering. 161. 107369–107369. 7 indexed citations
15.
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
16.
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
17.
Yang, Kaili, et al.. (2018). Energy-efficiency-oriented scheduling in smart manufacturing. Journal of Ambient Intelligence and Humanized Computing. 10(3). 969–978. 15 indexed citations
18.
Cao, Yanlong. (2015). Farmers Land Expropriation Willingness Based on IAD Extension Decision Model. Economic Geography. 6 indexed citations
19.
Cao, Yanlong, et al.. (2012). An Alarm Method for a Loose Parts Monitoring System. SHILAP Revista de lepidopterología. 5 indexed citations
20.
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

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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