Chongjun Wu

1.5k total citations · 1 hit paper
64 papers, 1.1k citations indexed

About

Chongjun Wu is a scholar working on Mechanical Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Chongjun Wu has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Mechanical Engineering, 45 papers in Biomedical Engineering and 11 papers in Computational Mechanics. Recurrent topics in Chongjun Wu's work include Advanced machining processes and optimization (43 papers), Advanced Surface Polishing Techniques (42 papers) and Advanced Machining and Optimization Techniques (10 papers). Chongjun Wu is often cited by papers focused on Advanced machining processes and optimization (43 papers), Advanced Surface Polishing Techniques (42 papers) and Advanced Machining and Optimization Techniques (10 papers). Chongjun Wu collaborates with scholars based in China, United States and Russia. Chongjun Wu's co-authors include Beizhi Li, Steven Y. Liang, Yao Liu, Zishan Ding, Yihao Zheng, Yanquan Geng, Qingxia Wang, Chen Li, Yunfeng Peng and Miaoxian Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Ceramic Society and Journal of Alloys and Compounds.

In The Last Decade

Chongjun Wu

60 papers receiving 1.1k citations

Hit Papers

Damage evolution and removal behaviors of GaN crystals in... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chongjun Wu China 17 843 760 287 178 153 64 1.1k
Yan Bao China 22 982 1.2× 804 1.1× 419 1.5× 170 1.0× 127 0.8× 91 1.2k
Sanjay Agarwal India 18 1.1k 1.4× 980 1.3× 677 2.4× 138 0.8× 103 0.7× 50 1.3k
Anhai Li China 22 1.1k 1.3× 505 0.7× 406 1.4× 252 1.4× 255 1.7× 73 1.3k
Ioan D. Marinescu United States 16 1.4k 1.7× 1.0k 1.3× 553 1.9× 273 1.5× 183 1.2× 56 1.6k
Shuoshuo Qu China 20 1.0k 1.2× 703 0.9× 316 1.1× 135 0.8× 137 0.9× 59 1.2k
Jun Zhao China 25 1.3k 1.6× 571 0.8× 465 1.6× 344 1.9× 336 2.2× 95 1.4k
Chunzheng Duan China 19 840 1.0× 465 0.6× 220 0.8× 264 1.5× 148 1.0× 64 942
Thilo Grove Germany 17 749 0.9× 477 0.6× 238 0.8× 156 0.9× 132 0.9× 76 854
Feng Jiao China 19 894 1.1× 635 0.8× 605 2.1× 114 0.6× 102 0.7× 114 1.1k
Jin Xie China 19 744 0.9× 708 0.9× 279 1.0× 114 0.6× 123 0.8× 89 978

Countries citing papers authored by Chongjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chongjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chongjun Wu. A scholar is included among the top collaborators of Chongjun Wu 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 Chongjun Wu. Chongjun Wu 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.
Wang, Jiaxuan, et al.. (2025). Research on the mechanical and topography characterization for multi-channel friction stir deposition additive manufacturing. Journal of Alloys and Compounds. 1020. 179603–179603. 2 indexed citations
2.
Wu, Chongjun, et al.. (2025). Genetic screening strategy for children with hereditary spherocytosis in Jiangxi Province of China. Frontiers in Pediatrics. 12. 1487121–1487121. 1 indexed citations
3.
Chen, Cong, et al.. (2025). 3D curved surface milling modeling for the topography simulation and surface roughness prediction. Journal of Manufacturing Processes. 137. 150–165. 3 indexed citations
4.
Zhou, Yaqin, Shibo Li, Chongjun Wu, Jiaxuan Wang, & Steven Y. Liang. (2025). Nanosecond UV laser-induced subsurface damage mechanism and mechanical responses for cemented tungsten carbide. International Journal of Refractory Metals and Hard Materials. 133. 107334–107334. 1 indexed citations
6.
Jiang, Xiaohui, et al.. (2025). Deformation prediction model for milling residual stresses in complex thin-walled parts with variable curvature. Journal of Manufacturing Processes. 139. 156–171. 2 indexed citations
7.
Wu, Chongjun, et al.. (2025). Ultrasonic-assisted grinding of Cf/SiC composites for the surface quality improvement and removal mechanism. Ceramics International. 51(13). 17671–17688. 7 indexed citations
8.
Wang, Jiaxuan, et al.. (2025). Grinding induced fracture and oxidation mechanism for 2.5D Cf/SiC composite materials. Ceramics International. 51(13). 17148–17161. 2 indexed citations
9.
Wu, Chongjun, et al.. (2024). Analysis and modeling of removal energy in grinding of SiCp/Al considering matrix and reinforcement phase. Ceramics International. 51(8). 10762–10773. 1 indexed citations
10.
Li, Chen, Yuxiu Hu, Chongjun Wu, et al.. (2024). Damage evolution and removal behaviors of GaN crystals involved in double-grits grinding. International Journal of Extreme Manufacturing. 6(2). 25103–25103. 125 indexed citations breakdown →
11.
Wu, Chongjun, Wen Jiang, Jing Xu, et al.. (2024). Clinical and genetic characteristics of Chinese pediatric and adult patients with hereditary spherocytosis. Orphanet Journal of Rare Diseases. 19(1). 278–278.
12.
Guo, Miaoxian, et al.. (2024). A surface quality prediction model considering the machine-tool-material interactions. The International Journal of Advanced Manufacturing Technology. 131(7-8). 3937–3955. 3 indexed citations
13.
Xiong, Ting, et al.. (2024). Identification of a novel ANK1 gene variant c.1504-9G>A and its mechanism of intron retention in hereditary spherocytosis. Frontiers in Genetics. 15. 1390924–1390924. 2 indexed citations
14.
Wu, Chongjun, et al.. (2024). Morphology analysis and process optimization of μ-SLA 3D manufactured micro-nano conic structure. SHILAP Revista de lepidopterología. 5(1). 203–220. 1 indexed citations
15.
Wu, Chongjun, et al.. (2024). Grinding defect characteristics and removal mechanism of unidirectional Cf/SiC composites. Advances in Manufacturing. 13(1). 211–228. 1 indexed citations
16.
Liu, Fei, et al.. (2023). Process Analysis and Topography Evaluation for Monocrystalline Silicon Laser Cutting-Off. Micromachines. 14(8). 1542–1542. 6 indexed citations
17.
Ding, Zishan, et al.. (2023). An iterative blending integrating grinding force model considering grain size and dislocation density evolution. Advances in Manufacturing. 11(3). 428–443. 6 indexed citations
18.
Wu, Chongjun, et al.. (2022). Research on Phase Transformation Analysis and Process Optimization of Grinding Considering Microscopic Grains. Journal of Mechanical Engineering. 58(11). 269–269.
19.
Wu, Chongjun, et al.. (2021). Preliminary Study on the Clinical and Genetic Characteristics of Hereditary Spherocytosis in 15 Chinese Children. Frontiers in Genetics. 12. 652376–652376. 11 indexed citations
20.
Wu, Chongjun, Beizhi Li, Jianguo Yang, & Steven Y. Liang. (2016). Prediction of grinding force for brittle materials considering co-existing of ductility and brittleness. The International Journal of Advanced Manufacturing Technology. 87(5-8). 1967–1975. 50 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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