Xiaojun Wu

599 total citations
66 papers, 426 citations indexed

About

Xiaojun Wu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaojun Wu has authored 66 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 19 papers in Artificial Intelligence and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaojun Wu's work include Advanced Wireless Communication Techniques (11 papers), Wireless Communication Networks Research (6 papers) and IoT and Edge/Fog Computing (5 papers). Xiaojun Wu is often cited by papers focused on Advanced Wireless Communication Techniques (11 papers), Wireless Communication Networks Research (6 papers) and IoT and Edge/Fog Computing (5 papers). Xiaojun Wu collaborates with scholars based in China and United States. Xiaojun Wu's co-authors include Hanguang Fu, Xiaohui Zhi, Jiandong Xing, Sheng Yuan, Guo-Xiu Li, Xing Xi, Lan Wang, Qiao Hu, Zuo-Yu Sun and Chao Wang and has published in prestigious journals such as Materials Science and Engineering A, Energy Conversion and Management and Sensors.

In The Last Decade

Xiaojun Wu

53 papers receiving 403 citations

Peers

Xiaojun Wu
Xiaojun Wu
Citations per year, relative to Xiaojun Wu Xiaojun Wu (= 1×) peers Claudia Rinaldi

Countries citing papers authored by Xiaojun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Wu. A scholar is included among the top collaborators of Xiaojun 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 Xiaojun Wu. Xiaojun 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
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Wu, Xiaojun, et al.. (2024). Multi-Container Migration Strategy Optimization for Industrial Robotics Workflow Based on Hybrid Tabu-Evolutionary Algorithm. IEEE Transactions on Services Computing. 17(5). 2640–2653. 2 indexed citations
5.
Wu, Xiaojun, et al.. (2023). Automatic Casting Control Method of Continuous Casting Based on Improved Soft Actor–Critic Algorithm. Metals. 13(4). 820–820. 4 indexed citations
6.
Wu, Xiaojun, et al.. (2023). Drill Pipe Counting Method in Coal Mine Based on Improved Object Tracking. 40. 1181–1184. 1 indexed citations
7.
Wu, Xiaojun, et al.. (2023). Underwater Reverberation Suppression via Attention and Cepstrum Analysis-Guided Network. Journal of Marine Science and Engineering. 11(2). 313–313. 4 indexed citations
8.
Wang, Huiyuan, et al.. (2023). Low-Resource Generation Method for Few-Shot Dolphin Whistle Signal Based on Generative Adversarial Network. Journal of Marine Science and Engineering. 11(5). 1086–1086.
9.
Wu, Xiaojun, et al.. (2023). Anomaly Detection of Liquid Level in Mold during Continuous Casting by Using Forecasting and Error Generation. Applied Sciences. 13(13). 7457–7457. 2 indexed citations
10.
Wu, Xiaojun, et al.. (2023). Improved Deep Residual Shrinkage Network for Intelligent Interference Recognition with Unknown Interference. Sensors. 23(18). 7909–7909. 2 indexed citations
11.
Wu, Xiaojun, et al.. (2023). Influence of the flow area around the ball valve on the flow characteristics of the injector control valve. Flow Measurement and Instrumentation. 90. 102333–102333. 7 indexed citations
12.
Wu, Xiaojun, et al.. (2022). One Improved Model of Named Entity Recognition by Combining BERT and BiLSTM-CNN for Domain of Chinese Railway Construction. 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP). 728–732. 5 indexed citations
13.
Wu, Xiaojun, et al.. (2020). Microservice Aging and Rejuvenation. 1–5. 3 indexed citations
14.
Wu, Xiaojun, et al.. (2017). Trust-based protocol for securing routing in opportunistic networks. 434–439. 1 indexed citations
15.
Zhang, Yumei, Xiaojun Hu, Xiaojun Wu, Shulin Bai, & Gang Lü. (2015). Volterra prediction model for speech signal series. Acta Physica Sinica. 64(20). 200507–200507. 3 indexed citations
16.
Wu, Xiaojun, et al.. (2012). A joint pilot and demodulation soft information carrier synchronization for SOQPSK signals. 31. 512–516. 4 indexed citations
17.
Wu, Xiaojun. (2011). New clustering algorithm based on evolutionary computation. Computer Engineering and Applications Journal.
18.
Wu, Xiaojun & Cong Li. (2011). Research and design of one security model for service-oriented multi-application architecture. 3990–3993. 2 indexed citations
19.
Wang, Junting, et al.. (2007). Face Recognition Based on ASM and FNN. 21(4). 54–57.
20.
Wu, Xiaojun, et al.. (2007). Effect of Integrated Geological Interpretation of Xinglongtai-Majuanzi Buried-Hill Belt in Liaohe Depression. Zhongguo shiyou kantan. 12(4). 19.

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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