Wang Xiang-rui

6.7k total citations · 1 hit paper
12 papers, 4.8k citations indexed

About

Wang Xiang-rui is a scholar working on Artificial Intelligence, Biomedical Engineering and Information Systems. According to data from OpenAlex, Wang Xiang-rui has authored 12 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Biomedical Engineering and 3 papers in Information Systems. Recurrent topics in Wang Xiang-rui's work include Recycling and Waste Management Techniques (2 papers), Muscle activation and electromyography studies (2 papers) and Data Mining Algorithms and Applications (2 papers). Wang Xiang-rui is often cited by papers focused on Recycling and Waste Management Techniques (2 papers), Muscle activation and electromyography studies (2 papers) and Data Mining Algorithms and Applications (2 papers). Wang Xiang-rui collaborates with scholars based in China, United States and Singapore. Wang Xiang-rui's co-authors include Chih‐Jen Lin, Cho‐Jui Hsieh, Kai‐Wei Chang, Pan Zhao, Xiaoming Cao, Qibin Zheng, Zhiyuan Lu, Narendra S. Chaudhari, Boyi Hu and Sara Behdad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Wang Xiang-rui

8 papers receiving 4.6k citations

Hit Papers

LIBLINEAR: A Library for Large Linear Classification 2008 2026 2014 2020 2008 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wang Xiang-rui China 3 2.6k 1.8k 512 460 444 12 4.8k
Kai‐Wei Chang Taiwan 18 3.4k 1.3× 2.4k 1.3× 628 1.2× 981 2.1× 549 1.2× 55 7.1k
Jinbo Bi United States 34 1.9k 0.7× 1.6k 0.9× 183 0.4× 477 1.0× 257 0.6× 150 4.7k
Fu-Lai Chung Hong Kong 43 3.6k 1.4× 2.1k 1.2× 588 1.1× 206 0.4× 901 2.0× 248 6.1k
Markus Hagenbuchner Australia 17 3.1k 1.2× 1.5k 0.8× 820 1.6× 566 1.2× 339 0.8× 62 6.1k
Jeff Bilmes United States 37 3.6k 1.4× 1.6k 0.9× 311 0.6× 859 1.9× 1.2k 2.7× 199 6.4k
Zhiwen Yu China 39 3.2k 1.3× 1.9k 1.1× 328 0.6× 540 1.2× 451 1.0× 217 5.5k
Pabitra Mitra India 35 2.5k 1.0× 1.6k 0.9× 1.0k 2.0× 423 0.9× 520 1.2× 186 5.4k
Zoubin Ghahramani United Kingdom 20 2.1k 0.8× 994 0.6× 304 0.6× 512 1.1× 301 0.7× 45 4.6k
Ruili Wang New Zealand 36 1.4k 0.6× 1.8k 1.0× 440 0.9× 173 0.4× 514 1.2× 216 5.1k
James Bailey Australia 38 3.9k 1.5× 1.6k 0.9× 819 1.6× 794 1.7× 963 2.2× 215 6.8k

Countries citing papers authored by Wang Xiang-rui

Since Specialization
Citations

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

Fields of papers citing papers by Wang Xiang-rui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Xiang-rui

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

All Works

12 of 12 papers shown
1.
Wu, Yonghui, Wang Xiang-rui, & Boyi Hu. (2025). Wearable Sensor-Based Analysis of Human Biomechanics in Manual and Cobot-Assisted Agricultural Transplanting. Electronics. 14(10). 2043–2043.
2.
Tang, Lu, Wang Xiang-rui, Zhiyuan Lu, et al.. (2024). Wearable Sensor‐Based Multi‐modal Fusion Network for Automated Gait Dysfunction Assessment in Children with Cerebral Palsy. SHILAP Revista de lepidopterología. 6(7). 1 indexed citations
3.
Xiang-rui, Wang, et al.. (2024). Evaluating the Impact of Collaborative Robots in E-Waste Disassembly Through EMG-EMG Coherence Analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 68(1). 677–682. 1 indexed citations
4.
Xiang-rui, Wang, et al.. (2024). Enhancing ergonomics in E-waste disassembly: the impact of collaborative robotics on muscle activation and coordination. Ergonomics. 68(11). 1781–1793. 2 indexed citations
6.
Xiang-rui, Wang. (2011). Research and Application of Association Rules in Data Mining Technology.
7.
Chaudhari, Narendra S. & Wang Xiang-rui. (2009). Language Structure Using Fuzzy Similarity. IEEE Transactions on Fuzzy Systems. 17(5). 1011–1024. 1 indexed citations
8.
Cao, Xiaoming, Pan Zhao, & Wang Xiang-rui. (2009). Study on Design and Development E-learning System Based on Learning Flow. 2000. 367–371. 8 indexed citations
10.
Xiang-rui, Wang. (2009). A Technique and Method of Accessing SQL Server Database Using VB.
11.
Chang, Kai‐Wei, et al.. (2008). LIBLINEAR: A Library for Large Linear Classification. Journal of Machine Learning Research. 9(61). 1871–1874. 4786 indexed citations breakdown →
12.
Yuan, Xiaojie, et al.. (2002). Mining association rules of quantitative movement pattern in databases. 3. 32–37. 1 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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