Wenjun Xu

4.4k total citations · 1 hit paper
159 papers, 3.0k citations indexed

About

Wenjun Xu is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Wenjun Xu has authored 159 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Industrial and Manufacturing Engineering, 41 papers in Control and Systems Engineering and 31 papers in Computer Networks and Communications. Recurrent topics in Wenjun Xu's work include Manufacturing Process and Optimization (52 papers), Digital Transformation in Industry (47 papers) and Robot Manipulation and Learning (30 papers). Wenjun Xu is often cited by papers focused on Manufacturing Process and Optimization (52 papers), Digital Transformation in Industry (47 papers) and Robot Manipulation and Learning (30 papers). Wenjun Xu collaborates with scholars based in China, United Kingdom and Sweden. Wenjun Xu's co-authors include Zude Zhou, Duc Truong Pham, Zhihao Liu, Jiayi Liu, Quan Liu, Bitao Yao, Quan Liu, Chunqian Ji, Lihui Wang and Aiming Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Wenjun Xu

144 papers receiving 2.9k citations

Hit Papers

Robot learning towards smart robotic manufacturing: A review 2022 2026 2023 2024 2022 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
Wenjun Xu China 27 1.9k 677 375 312 270 159 3.0k
Xi Vincent Wang Sweden 30 2.2k 1.1× 815 1.2× 586 1.6× 257 0.8× 397 1.5× 146 3.9k
József Váncza Hungary 27 2.1k 1.1× 433 0.6× 380 1.0× 150 0.5× 386 1.4× 109 3.3k
S. G. Ponnambalam Malaysia 36 2.2k 1.2× 339 0.5× 270 0.7× 99 0.3× 245 0.9× 155 3.5k
Dunbing Tang China 28 2.3k 1.2× 403 0.6× 565 1.5× 96 0.3× 235 0.9× 142 3.3k
Jinsong Bao China 34 2.2k 1.2× 416 0.6× 559 1.5× 176 0.6× 64 0.2× 150 3.5k
Aydin Nassehi United Kingdom 28 2.4k 1.3× 264 0.4× 1.1k 3.1× 506 1.6× 149 0.6× 123 3.8k
Bin He China 28 819 0.4× 491 0.7× 603 1.6× 205 0.7× 398 1.5× 159 2.6k
Shengfeng Qin United Kingdom 27 1.3k 0.7× 327 0.5× 1.0k 2.8× 160 0.5× 133 0.5× 196 3.4k
John Ahmet Erkoyuncu United Kingdom 31 1.1k 0.6× 210 0.3× 353 0.9× 286 0.9× 287 1.1× 131 3.2k
Ole Madsen Denmark 23 907 0.5× 681 1.0× 340 0.9× 118 0.4× 82 0.3× 100 2.0k

Countries citing papers authored by Wenjun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Xu. A scholar is included among the top collaborators of Wenjun Xu 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 Wenjun Xu. Wenjun Xu 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
2.
Xu, Wenjun, Yao Ma, Yuyang Qi, et al.. (2025). Adaptative two-phase thermal circulation system for complex-shaped electronic device cooling. Nature Communications. 16(1). 1713–1713. 5 indexed citations
3.
Xu, Wenjun, et al.. (2025). Mixed-model product disassembly sequence optimization based on cognitive digital twin. Journal of Manufacturing Systems. 82. 497–508. 1 indexed citations
4.
Xu, Wenjun, et al.. (2024). Cognitive digital twin-enabled multi-robot collaborative manufacturing: Framework and approaches. Computers & Industrial Engineering. 194. 110418–110418. 12 indexed citations
5.
Li, Shuang, Yupeng Chen, Dongxu Zhang, et al.. (2024). Influencing mechanism of farming clams on the CO2 flux from aquaculture ponds: Insights from ecosystem carbon metabolism. Agriculture Ecosystems & Environment. 374. 109166–109166. 4 indexed citations
6.
Zhang, Xiaolong, Jiayi Liu, Qi Lei, et al.. (2024). Peg-Hole Robotic Disassembly Compliant Strategy based on Soft Actor-Critic Algorithm. 528–533.
7.
Yao, Bitao, et al.. (2023). Virtual data generation for human intention prediction based on digital modeling of human-robot collaboration. Robotics and Computer-Integrated Manufacturing. 87. 102714–102714. 10 indexed citations
8.
Yao, Bitao, et al.. (2023). Task reallocation of human-robot collaborative production workshop based on a dynamic human fatigue model. Computers & Industrial Engineering. 189. 109855–109855. 21 indexed citations
9.
Cui, Jia, et al.. (2023). Robotic disassembly sequence planning considering parts failure features. SHILAP Revista de lepidopterología. 5(1). 8 indexed citations
10.
Zhang, Jinliang, Ling Peng, Wenjun Xu, Jiayi Liu, & Yang Hu. (2023). Digital Twin-Based Model Reconfiguration Method for Ship Design Using NSGA-II. 95–101.
11.
Liu, Jiayi, et al.. (2023). Digital Twin-Driven Robotic Disassembly Sequence Dynamic Planning Under Uncertain Missing Condition. IEEE Transactions on Industrial Informatics. 19(12). 11846–11855. 17 indexed citations
12.
Peng, Ling, et al.. (2023). Dynamic Digital Twin Modeling towards Ship Operation and Maintenance Process. 107–112. 1 indexed citations
13.
Liu, Quan, et al.. (2023). Knowledge-guided robot learning on compliance control for robotic assembly task with predictive model. Expert Systems with Applications. 234. 121037–121037. 14 indexed citations
15.
Liu, Zhihao, Quan Liu, Lihui Wang, Wenjun Xu, & Zude Zhou. (2021). Task-level decision-making for dynamic and stochastic human-robot collaboration based on dual agents deep reinforcement learning. The International Journal of Advanced Manufacturing Technology. 115(11-12). 3533–3552. 24 indexed citations
16.
Liu, Zhihao, et al.. (2020). Dynamic risk assessment and active response strategy for industrial human-robot collaboration. Computers & Industrial Engineering. 141. 106302–106302. 55 indexed citations
17.
Zhang, Chenyuan, Wenjun Xu, Jiayi Liu, et al.. (2019). Digital twin-enabled reconfigurable modeling for smart manufacturing systems. International Journal of Computer Integrated Manufacturing. 34(7-8). 709–733. 73 indexed citations
18.
Liu, Quan, et al.. (2019). Human-robot collaboration in disassembly for sustainable manufacturing. International Journal of Production Research. 57(12). 4027–4044. 156 indexed citations
19.
Xu, Wenjun, et al.. (2018). Model-driven in-situ data compressive gathering.. Acta Agriculturae Zhejiangensis. 30(12). 2102–2111. 1 indexed citations
20.
Xiao, Jie, et al.. (2016). Genetic Variations of the Parasitic Dinoflagellate Hematodinium Infecting Cultured Marine Crustaceans in China. Protist. 167(6). 597–609. 6 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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