W. B. Yan

12.8k total citations
12 papers, 37 citations indexed

About

W. B. Yan is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, W. B. Yan has authored 12 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in W. B. Yan's work include High-Energy Particle Collisions Research (3 papers), Particle physics theoretical and experimental studies (2 papers) and Soil Mechanics and Vehicle Dynamics (2 papers). W. B. Yan is often cited by papers focused on High-Energy Particle Collisions Research (3 papers), Particle physics theoretical and experimental studies (2 papers) and Soil Mechanics and Vehicle Dynamics (2 papers). W. B. Yan collaborates with scholars based in China, Canada and Germany. W. B. Yan's co-authors include Yifei Wang, Yiyang Zhou, Jihua Zhu, Qinghai Zheng, Xu Cai, C. B. Yang, Yaojun Li, Si‐Young Song, Yi Niu and Xulei Ge and has published in prestigious journals such as Journal of Colloid and Interface Science, Expert Systems with Applications and Knowledge-Based Systems.

In The Last Decade

W. B. Yan

8 papers receiving 36 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. B. Yan China 4 21 17 6 4 4 12 37
K. V. Tsang United States 3 12 0.6× 14 0.8× 9 1.5× 6 29
S. J. Thais United States 3 7 0.3× 15 0.9× 13 2.2× 2 0.5× 6 31
F. Hug Germany 2 21 1.0× 28 1.6× 9 1.5× 3 40
I. Ojalvo United States 3 7 0.3× 17 1.0× 19 3.2× 2 0.5× 4 38
S. Yang South Korea 3 15 0.7× 5 0.3× 13 2.2× 2 0.5× 7 35
Utku Evci United States 4 29 1.4× 39 2.3× 2 0.5× 2 0.5× 6 45
L. Ren China 3 6 0.3× 8 0.5× 11 1.8× 6 1.5× 5 27
Alberto Bietti United States 3 7 0.3× 14 0.8× 4 0.7× 1 0.3× 4 31
Yuri Burda Canada 3 15 0.7× 16 0.9× 5 1.3× 8 30
C. Rougier France 3 8 0.4× 9 0.5× 7 1.2× 4 26

Countries citing papers authored by W. B. Yan

Since Specialization
Citations

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

Fields of papers citing papers by W. B. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. B. Yan. 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 W. B. Yan. The network helps show where W. B. Yan may publish in the future.

Co-authorship network of co-authors of W. B. Yan

This figure shows the co-authorship network connecting the top 25 collaborators of W. B. Yan. A scholar is included among the top collaborators of W. B. Yan 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 W. B. Yan. W. B. Yan 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.
Li, Yifei, Yaojun Li, Xulei Ge, et al.. (2025). Hundreds of Nanocoulomb Electron Acceleration Driven by Multipetawatt Laser in Subcritical Density Plasmas. Advanced Photonics Research. 6(12).
3.
Liu, Peng, et al.. (2025). DESIGN AND EXPERIMENT OF GRAIN HARVESTER YIELD MONITORING SYSTEM BASED ON MULTI-SENSOR FUSION. INMATEH Agricultural Engineering. 763–776.
4.
Zhang, Mengqi, et al.. (2025). OPTIMIZATION AND TESTING OF OPERATING PARAMETERS FOR THE AUTOMATIC SEEDLING PICKING DEVICE OF TOMATO POT SEEDLING TRANSPLANTER. INMATEH Agricultural Engineering. 610–618. 1 indexed citations
5.
Yan, W. B., Yiyang Zhou, Yifei Wang, Qinghai Zheng, & Jihua Zhu. (2024). Multi-view Semantic Consistency based Information Bottleneck for Clustering. Knowledge-Based Systems. 288. 111448–111448. 9 indexed citations
6.
Yan, W. B., et al.. (2024). Label distribution-driven multi-view representation learning. Information Fusion. 115. 102727–102727.
7.
Yan, W. B., Li Jiang, Lingjun Li, et al.. (2024). Near-infrared-II-driven Z-scheme heterojunction Polyglycolated MoS2/CoFe2O4 amplified edge potential for dual-mode imaging guided tumor synergistic therapy. Journal of Colloid and Interface Science. 683(Pt 2). 793–806. 3 indexed citations
8.
Zhou, Yiyang, et al.. (2023). MCoCo: Multi-level Consistency Collaborative multi-view clustering. Expert Systems with Applications. 238. 121976–121976. 16 indexed citations
9.
Li, L. K., et al.. (2017). D 0 -D 0 mixing sensitivity estimation at Belle II in wrong-sign decays D 0 → K + π π 0 via time-dependent amplitude analysis. Chinese Physics C. 41(2). 23001–23001. 1 indexed citations
10.
Yan, W. B., C. B. Yang, & Xu Cai. (1999). On Multiplicity Difference Correlators in Second-Order Quark-Gluon Plasma Phase Transition. Chinese Physics Letters. 16(4). 253–255. 5 indexed citations
11.
Zhou, Daicui, Yun‐De Li, Liu Lianshou, et al.. (1998). A Rigidity Measurement of Pseudo-Rapidity Spectrum of Produced Particles in High Energy Nucleus-Nucleus Collisions. Chinese Physics Letters. 15(8). 566–567. 1 indexed citations
12.
Yang, C. B., W. B. Yan, & Xu Cai. (1989). Hadronic multiplicity distribution and dynamical fluctuations under QGP phase transitions. Science in China Series A Mathematics. 42(6). 646–652. 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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