Xiaomin Wang

557 total citations
28 papers, 346 citations indexed

About

Xiaomin Wang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xiaomin Wang has authored 28 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Xiaomin Wang's work include Mobile Ad Hoc Networks (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Advanced Neural Network Applications (6 papers). Xiaomin Wang is often cited by papers focused on Mobile Ad Hoc Networks (8 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Advanced Neural Network Applications (6 papers). Xiaomin Wang collaborates with scholars based in China and Hong Kong. Xiaomin Wang's co-authors include Ming Liu, Jiannong Cao, Guihai Chen, Haigang Gong, Ming Liu, Nianbo Liu, Minghui Liu, Xuan Cheng, Yong Feng and Lifeng Xu and has published in prestigious journals such as Sensors, IEEE Transactions on Circuits and Systems for Video Technology and Cancers.

In The Last Decade

Xiaomin Wang

26 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomin Wang China 9 240 133 45 38 37 28 346
R. Kalidoss India 12 100 0.4× 199 1.5× 23 0.5× 30 0.8× 33 0.9× 30 350
Seyedmohammad Salehi United States 8 158 0.7× 54 0.4× 11 0.2× 84 2.2× 20 0.5× 15 287
Nallasamy Mani Australia 9 394 1.6× 229 1.7× 31 0.7× 14 0.4× 21 0.6× 21 468
Michel Salomon France 10 62 0.3× 29 0.2× 76 1.7× 45 1.2× 57 1.5× 41 305
Palvinder Singh Mann India 9 271 1.1× 189 1.4× 12 0.3× 26 0.7× 12 0.3× 29 355
K. Suganthi India 8 47 0.2× 35 0.3× 50 1.1× 24 0.6× 58 1.6× 28 214
Mohamed Elshrkawey Egypt 7 208 0.9× 131 1.0× 56 1.2× 14 0.4× 37 1.0× 8 302
Duc-Tai Le South Korea 9 179 0.7× 91 0.7× 30 0.7× 22 0.6× 28 0.8× 54 253
Jose George United States 7 140 0.6× 35 0.3× 63 1.4× 22 0.6× 96 2.6× 24 312
Rajesh Arunachalam India 8 93 0.4× 71 0.5× 13 0.3× 11 0.3× 28 0.8× 24 234

Countries citing papers authored by Xiaomin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomin Wang. A scholar is included among the top collaborators of Xiaomin Wang 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 Xiaomin Wang. Xiaomin Wang 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.
Liu, Minghui, et al.. (2024). Ship Network Traffic Engineering Based on Reinforcement Learning. Electronics. 13(9). 1710–1710. 2 indexed citations
3.
Wang, Xiaomin, et al.. (2024). A DRL-based path planning method for wheeled mobile robots in unknown environments. Computers & Electrical Engineering. 118. 109425–109425. 7 indexed citations
5.
Liu, Minghui, Xuan Cheng, Jinqi Zhu, et al.. (2023). Self‐adaption and texture generation: A hybrid loss function for low‐dose CT denoising. Journal of Applied Clinical Medical Physics. 24(9). e14113–e14113. 5 indexed citations
6.
Wei, Yi, Meiyi Yang, Lifeng Xu, et al.. (2023). Novel Computed-Tomography-Based Transformer Models for the Noninvasive Prediction of PD-1 in Pre-Operative Settings. Cancers. 15(3). 658–658. 6 indexed citations
7.
Liu, Minghui, Meiyi Yang, Xuan Cheng, et al.. (2023). Feature Equilibrium: An Adversarial Training Method to Improve Representation Learning. International Journal of Computational Intelligence Systems. 16(1). 2 indexed citations
8.
Chen, Siying, Minghui Liu, Deng Pan, et al.. (2022). Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images. IEEE Journal of Biomedical and Health Informatics. 26(11). 5344–5354. 15 indexed citations
9.
Liu, Minghui, et al.. (2022). FocusedDropout for Convolutional Neural Network. Applied Sciences. 12(15). 7682–7682. 7 indexed citations
10.
Liu, Minghui, et al.. (2022). Express Construction for GANs from Latent Representation to Data Distribution. Applied Sciences. 12(8). 3910–3910. 1 indexed citations
11.
Xu, Lifeng, Feng Zhang, Xuan Cheng, et al.. (2022). Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model. Cancers. 14(11). 2574–2574. 24 indexed citations
12.
Cheng, Xuan, et al.. (2022). Efficient Resource Allocation Policy for Cloud Edge End Framework by Reinforcement Learning. 1363–1367. 2 indexed citations
13.
Lü, Hui, et al.. (2022). CyclicShift: A Data Augmentation Method For Enriching Data Patterns. Proceedings of the 30th ACM International Conference on Multimedia. 4921–4929. 2 indexed citations
14.
Gong, Haigang, et al.. (2021). RALR: Random Amplify Learning Rates for Training Neural Networks. Applied Sciences. 12(1). 268–268. 1 indexed citations
15.
Liu, Bang, Haigang Gong, Zihao Guo, et al.. (2018). Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model. Mobile Information Systems. 2018. 1–9. 10 indexed citations
16.
Gong, Haigang & Xiaomin Wang. (2013). A Hot-Area-Based Selfish Routing Protocol for Mobile Social Networks. International Journal of Distributed Sensor Networks. 9(1). 389874–389874. 2 indexed citations
17.
Feng, Yong, Haigang Gong, Mingyu Fan, Ming Liu, & Xiaomin Wang. (2011). A Distance-Aware Replica Adaptive Data Gathering Protocol for Delay Tolerant Mobile Sensor Networks. Sensors. 11(4). 4104–4117. 12 indexed citations
18.
Feng, Yong, Ming Liu, Xiaomin Wang, & Haigang Gong. (2010). Minimum Expected Delay-Based Routing Protocol (MEDR) for Delay Tolerant Mobile Sensor Networks. Sensors. 10(9). 8348–8362. 8 indexed citations
19.
Gong, Haigang, et al.. (2009). A Study on MAC Protocols for Wireless Sensor Networks. 6 indexed citations
20.
Liu, Ming, Jiannong Cao, Guihai Chen, & Xiaomin Wang. (2009). An Energy-Aware Routing Protocol in Wireless Sensor Networks. Sensors. 9(1). 445–462. 162 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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