Xiang Yu

3.9k total citations · 3 hit papers
68 papers, 2.9k citations indexed

About

Xiang Yu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiang Yu has authored 68 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 14 papers in Control and Systems Engineering and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Xiang Yu's work include Metaheuristic Optimization Algorithms Research (14 papers), Advanced Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Xiang Yu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (14 papers), Advanced Algorithms and Applications (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). Xiang Yu collaborates with scholars based in China, Hong Kong and Ethiopia. Xiang Yu's co-authors include Lifeng Wu, Junliang Fan, Hanmi Zhou, Hui Qin, Fucang Zhang, Wenzhi Zeng, Xin Ma, Xueqing Zhang, Xianghui Lu and Youzhen Xiang and has published in prestigious journals such as PLoS ONE, Water Research and Chemosphere.

In The Last Decade

Xiang Yu

64 papers receiving 2.8k citations

Hit Papers

Comparison of Support Vector Machine and Extreme Gradient... 2018 2026 2020 2023 2018 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiang Yu China 22 914 731 578 520 373 68 2.9k
Francisco Martínez‐Álvarez Spain 33 1.6k 1.7× 1.0k 1.4× 528 0.9× 589 1.1× 232 0.6× 115 4.2k
Sinan Q. Salih Vietnam 36 679 0.7× 510 0.7× 1.2k 2.0× 737 1.4× 931 2.5× 79 3.2k
Iman Ahmadianfar Iran 36 1.6k 1.8× 728 1.0× 573 1.0× 352 0.7× 636 1.7× 95 4.5k
Sina Ardabili Iran 28 510 0.6× 541 0.7× 378 0.7× 245 0.5× 243 0.7× 72 2.8k
Sudheer Ch India 22 783 0.9× 760 1.0× 917 1.6× 426 0.8× 495 1.3× 31 2.1k
Peng Tian China 40 1.0k 1.1× 2.0k 2.8× 753 1.3× 954 1.8× 1.4k 3.7× 165 4.8k
Xuefeng Chu United States 28 1.0k 1.1× 404 0.6× 712 1.2× 954 1.8× 1.5k 4.0× 131 4.2k
Rutuparna Panda India 37 912 1.0× 269 0.4× 413 0.7× 634 1.2× 716 1.9× 166 4.4k
Guido Cervone United States 30 879 1.0× 540 0.7× 377 0.7× 873 1.7× 96 0.3× 100 3.2k
Amirhosein Mosavi Iran 27 391 0.4× 205 0.3× 738 1.3× 573 1.1× 536 1.4× 69 2.7k

Countries citing papers authored by Xiang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Yu. A scholar is included among the top collaborators of Xiang Yu 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 Xiang Yu. Xiang Yu 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
1.
Zhang, Zhizhi, et al.. (2024). Nuclear radiation shielding performance of the new lead‐free TeO 2 –Bi 2 O 3 –ZnO–BaF 2 glass. International Journal of Applied Ceramic Technology. 21(4). 2906–2914. 9 indexed citations
3.
Zhao, Xinrui, Xiang Yu, Aihui Zhou, Jiugang Yuan, & Jin Xu. (2024). Preparation of a Stable Highly Concentrated Keratin Solution by PEGylation in a Deep Eutectic Solvent. ACS Sustainable Chemistry & Engineering. 12(19). 7266–7275. 2 indexed citations
5.
6.
Demissie, Hailu, Sen Lu, Ruyuan Jiao, et al.. (2021). Advances in micro interfacial phenomena of adsorptive micellar flocculation: Principles and application for water treatment. Water Research. 202. 117414–117414. 32 indexed citations
7.
Yu, Xiang, et al.. (2021). Enhanced Comprehensive Learning Particle Swarm Optimization with Dimensional Independent and Adaptive Parameters. Computational Intelligence and Neuroscience. 2021(1). 6628564–6628564. 3 indexed citations
8.
Liu, Yongqi, Hui Qin, Zhendong Zhang, et al.. (2019). Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network. Applied Energy. 253. 113596–113596. 110 indexed citations
9.
Zhang, Zhendong, Lei Ye, Hui Qin, et al.. (2019). Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression. Applied Energy. 247. 270–284. 234 indexed citations
10.
Yu, Xiang, et al.. (2019). Five Classification of Mammography Images Based on Deep Cooperation Convolutional Neural Network. American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers). 57(1). 10–21. 4 indexed citations
11.
Wang, Wenjun, et al.. (2019). An Improved Artificial Bee Colony Algorithm Based on Elite Strategy and Dimension Learning. Mathematics. 7(3). 289–289. 11 indexed citations
12.
Hu, Hong, et al.. (2018). Research on Peak Load Optimization Model Considering Interruptible Load at Peak Time. 2771–2775. 3 indexed citations
13.
Yu, Xiang & Xueqing Zhang. (2017). Multiswarm comprehensive learning particle swarm optimization for solving multiobjective optimization problems. PLoS ONE. 12(2). e0172033–e0172033. 11 indexed citations
14.
Zhao, Jia, et al.. (2016). Opposition-Based Artificial Bee Colony Using Different Learning Models.. J. Inf. Hiding Multim. Signal Process.. 7. 1206–1214. 1 indexed citations
15.
Thornhill, Daniel J., Xiang Yu, D. Tye Pettay, Min Zhong, & Scott R. Santos. (2013). Population genetic data of a model symbiotic cnidarian system reveal remarkable symbiotic specificity and vectored introductions across ocean basins. Molecular Ecology. 22(17). 4499–4515. 88 indexed citations
16.
Qin, Yue, et al.. (2013). Recent progress in diatomite based composite phase change materials for thermal energy storage. Energy Storage Science and Technology. 2(3). 199. 4 indexed citations
17.
Yu, Xiang. (2012). Synthesis and Characterization of Novel Schiff Bases Derived from PMNAP and Amine and Their Copper Complexes. Chemistry & Bioengineering. 1 indexed citations
18.
Xu, Zhi, et al.. (2012). A Review of Condition Monitoring and Fault Diagnosis of Wind Turbine Gearbox Using Signal Processing. Advanced materials research. 608-609. 673–676.
19.
Thornhill, Daniel J., Xiang Yu, William K. Fitt, & Scott R. Santos. (2009). Reef Endemism, Host Specificity and Temporal Stability in Populations of Symbiotic Dinoflagellates from Two Ecologically Dominant Caribbean Corals. PLoS ONE. 4(7). e6262–e6262. 98 indexed citations
20.
Yu, Xiang. (2000). COMPARISON ON MORPHOLOGICAL DIFFERENCE INSIDE SPECIES OF PEN SHELL ATRINA PECTINATA. 3 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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