Xiaojun Liu

3.6k total citations · 1 hit paper
132 papers, 2.8k citations indexed

About

Xiaojun Liu is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Xiaojun Liu has authored 132 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Industrial and Manufacturing Engineering, 61 papers in Mechanical Engineering and 16 papers in Materials Chemistry. Recurrent topics in Xiaojun Liu's work include Manufacturing Process and Optimization (55 papers), Digital Transformation in Industry (25 papers) and Engineering Technology and Methodologies (12 papers). Xiaojun Liu is often cited by papers focused on Manufacturing Process and Optimization (55 papers), Digital Transformation in Industry (25 papers) and Engineering Technology and Methodologies (12 papers). Xiaojun Liu collaborates with scholars based in China, United Kingdom and Japan. Xiaojun Liu's co-authors include Zhonghua Ni, Licheng Ling, Jinfeng Liu, Wenming Qiao, Honggen Zhou, Donghui Long, Jitong Wang, Wenlong Lu, Qingjun Chen and Hong Yi and has published in prestigious journals such as Energy & Environmental Science, Macromolecules and Applied Catalysis B: Environmental.

In The Last Decade

Xiaojun Liu

116 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

makeTwin: A reference architecture for digital twin software platform

2023 72 citations Xiaojun Liu, Tingyu Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaojun Liu China	30	1.3k	1.2k	512	298	284	132	2.8k
Michele Dassisti Italy	24	962 0.8×	825 0.7×	396 0.8×	411 1.4×	854 3.0×	90	3.5k
Nabil Gindy United Kingdom	37	1.9k 1.5×	1.6k 1.4×	485 0.9×	734 2.5×	705 2.5×	146	3.9k
Pramod Kumar Jain India	31	1.5k 1.1×	1.5k 1.3×	277 0.5×	531 1.8×	602 2.1×	208	3.6k
Chen Zheng China	27	1.1k 0.8×	318 0.3×	675 1.3×	325 1.1×	196 0.7×	164	2.4k
Haihong Huang China	27	1.3k 1.0×	287 0.2×	820 1.6×	181 0.6×	374 1.3×	189	3.0k
Patrick Martin France	23	999 0.8×	488 0.4×	589 1.2×	138 0.5×	61 0.2×	81	1.7k
Hongfei Guo China	20	382 0.3×	460 0.4×	354 0.7×	239 0.8×	286 1.0×	67	1.7k
Thomas R. Bement United States	8	1.6k 1.2×	564 0.5×	309 0.6×	684 2.3×	929 3.3×	19	3.2k
Paul H. Cohen United States	19	492 0.4×	513 0.4×	172 0.3×	403 1.4×	213 0.8×	62	1.4k
Caixia Zhang China	26	838 0.7×	366 0.3×	542 1.1×	430 1.4×	303 1.1×	139	2.3k

Countries citing papers authored by Xiaojun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fan, Liang, et al.. (2025). Fatigue Life Prediction of Main Bearings in Wind Turbines Under Random Wind Speeds. Machines. 13(10). 907–907.

Liu, Xiaojun, et al.. (2024). Digital twin-driven assembly accuracy prediction method for high performance precision assembly of complex products. Advanced Engineering Informatics. 61. 102495–102495. 12 indexed citations

Liu, Jinfeng, Yiming Zhang, Z.H. Liu, et al.. (2024). Digital twins enable shipbuilding. Alexandria Engineering Journal. 107. 915–931. 2 indexed citations

Liu, Xiaojun, et al.. (2024). Fusion method for digital twin model of a production line. The International Journal of Advanced Manufacturing Technology. 132(11-12). 6145–6167. 3 indexed citations

Liu, Xiaojun, et al.. (2024). Optimal scheduling of electric vehicle battery swapping station based on sparrow search algorithm. 35. 297–297. 1 indexed citations

Yuan, Gang, Xiaojun Liu, Chaoyong Zhang, Duc Truong Pham, & Zhiwu Li. (2023). A new heuristic algorithm based on multi-criteria resilience assessment of human–robot collaboration disassembly for supporting spent lithium-ion battery recycling. Engineering Applications of Artificial Intelligence. 126. 106878–106878. 27 indexed citations

Liu, Jinfeng, et al.. (2023). Digital twin model-driven capacity evaluation and scheduling optimization for ship welding production line. Journal of Intelligent Manufacturing. 35(7). 3353–3375. 13 indexed citations

Liu, Xiaojun, et al.. (2023). An ontology-based modeling and CBR method for cable process planning. AHFE international. 72. 1 indexed citations

Yuan, Gang, et al.. (2023). Multi-objective coupling optimization of electrical cable intelligent production line driven by digital twin. Robotics and Computer-Integrated Manufacturing. 86. 102682–102682. 31 indexed citations

10.

Wang, Yichen, et al.. (2022). Integrated task sequence planning and assignment for human–robot collaborative assembly station. Flexible Services and Manufacturing Journal. 35(4). 979–1006. 10 indexed citations

11.

Liu, Tingyu, et al.. (2022). A novel assembly tolerance analysis method considering form errors and partial parallel connections. The International Journal of Advanced Manufacturing Technology. 131(11). 5489–5510. 14 indexed citations

12.

Zhang, Jinhui, et al.. (2021). Smart Car Design Based on K60. 6(2). 35–48. 1 indexed citations

13.

Liu, Jinfeng, et al.. (2021). Dynamic design method of digital twin process model driven by knowledge-evolution machining features. International Journal of Production Research. 60(7). 2312–2330. 40 indexed citations

14.

Lu, Wenlong, Wenzheng Zhai, Jian Wang, et al.. (2020). Additive manufacturing of isotropic-grained, high-strength and high-ductility copper alloys. Additive manufacturing. 38. 101751–101751. 36 indexed citations

15.

Liu, Xiaojun, et al.. (2020). Active Steering Wheel System for Ultra-Compact Mobility Aimed to Reduce Muscle Burden of Driver. 2020.30(0). 104–104. 1 indexed citations

16.

Liu, Jinfeng, Honggen Zhou, Xiaojun Liu, et al.. (2019). Dynamic Evaluation Method of Machining Process Planning Based on Digital Twin. IEEE Access. 7. 19312–19323. 121 indexed citations

17.

Liu, Xiaojun, et al.. (2013). A parameter prediction model of running-in based on surface topography. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 227(9). 1047–1055. 20 indexed citations

18.

Wang, Liuding, et al.. (2009). Investigation of transformation for ultrahigh strength steel Aermet 100. Journal of Material Science and Technology. 16(5). 491–494. 7 indexed citations

19.

Jiang, Xiangqian, et al.. (2009). Tolerance design of products with correlated characteristics based on current value of quality loss. Huddersfield Research Portal (University of Huddersfield). 2009(2). 71–74. 1 indexed citations

20.

Liu, Xiaojun, Xin Liu, Aiye Liang, et al.. (2006). Studying protein‐drug interaction by microfluidic chip affinity capillary electrophoresis with indirect laser‐induced fluorescence detection. Electrophoresis. 27(15). 3125–3128. 29 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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