Ru Wang

488 total citations
37 papers, 295 citations indexed

About

Ru Wang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Ru Wang has authored 37 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Ru Wang's work include Complex Network Analysis Techniques (6 papers), Recommender Systems and Techniques (5 papers) and Advanced Graph Neural Networks (4 papers). Ru Wang is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Recommender Systems and Techniques (5 papers) and Advanced Graph Neural Networks (4 papers). Ru Wang collaborates with scholars based in China, Australia and United States. Ru Wang's co-authors include Peipei Wang, Lin Li, Xiaohui Tao, Peiyu Liu, Baocai Yin, Lichun Wang, Dehui Kong, Robert B. Finkelman, Qiang Li and Limei Chen and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Planta.

In The Last Decade

Ru Wang

31 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ru Wang China	11	127	80	32	31	29	37	295
Jyothisha J. Nair India	11	131 1.0×	72 0.9×	32 1.0×	8 0.3×	9 0.3×	49	304
S. T. Patil India	8	104 0.8×	60 0.8×	39 1.2×	6 0.2×	20 0.7×	24	272
Hazem Hiary Jordan	11	83 0.7×	163 2.0×	14 0.4×	9 0.3×	71 2.4×	28	359
R. Dhanalakshmi India	11	86 0.7×	53 0.7×	94 2.9×	11 0.4×	19 0.7×	50	321
Zhili Wu China	9	122 1.0×	36 0.5×	28 0.9×	10 0.3×	14 0.5×	32	357
Li-Lun Wang United States	5	142 1.1×	151 1.9×	12 0.4×	28 0.9×	3 0.1×	7	284
Kishor K. Bhoyar India	9	118 0.9×	144 1.8×	36 1.1×	4 0.1×	7 0.2×	34	380
S. Viswanadha Raju India	10	121 1.0×	43 0.5×	77 2.4×	4 0.1×	24 0.8×	62	327
Bernd Malle Austria	4	165 1.3×	39 0.5×	28 0.9×	4 0.1×	7 0.2×	4	266
Zhen Xu China	12	233 1.8×	84 1.1×	47 1.5×	6 0.2×	3 0.1×	34	372

Countries citing papers authored by Ru Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ru Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ru Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Ru, et al.. (2024). Short-term photovoltaic power prediction model based on hierarchical clustering of K-means++ algorithm and deep learning hybrid model. Journal of Renewable and Sustainable Energy. 16(2). 6 indexed citations

Yu, Miao, Jing Lan, S. Qu, et al.. (2024). Structures and Biological Activities of Secondary Metabolites from Daldinia spp.. Journal of Fungi. 10(12). 833–833. 2 indexed citations

Wang, Ru, et al.. (2023). A New Collaborative Filtering Recommendation Algorithm for Course Resources Based on Language-Scoring Data. International Journal of Emerging Technologies in Learning (iJET). 18(17). 72–85. 1 indexed citations

Xu, Na, et al.. (2023). Prediction of higher heating value of coal based on gradient boosting regression tree model. International Journal of Coal Geology. 274. 104293–104293. 32 indexed citations

Wang, Ru, et al.. (2023). Community Detection with Graph Convolutional Auto-Encoder and Deep Clustering. 1589–1594. 1 indexed citations

Chang, Xiaojun, et al.. (2023). Ground States for Logarithmic Schrödinger Equations on Locally Finite Graphs. Journal of Geometric Analysis. 33(7). 10 indexed citations

Chang, Xiaojun, et al.. (2023). Convergence of least energy sign-changing solutions for logarithmic Schrödinger equations on locally finite graphs. Communications in Nonlinear Science and Numerical Simulation. 125. 107418–107418. 3 indexed citations

Xu, Na, Qiang Li, Qing Li, et al.. (2023). Advocating the Use of Bayesian Network in Analyzing the Modes of Occurrence of Elements in Coal. ACS Omega. 8(42). 39096–39109. 1 indexed citations

Wang, Peipei, et al.. (2022). Complexity-based attentive interactive student performance prediction for personalized course study planning. Education and Information Technologies. 27(4). 5471–5493. 4 indexed citations

10.

Wang, Peipei, et al.. (2022). Learning persona-driven personalized sentimental representation for review-based recommendation. Expert Systems with Applications. 203. 117317–117317. 6 indexed citations

11.

Wang, Ru, Lin Li, Xiaohui Tao, Peipei Wang, & Peiyu Liu. (2022). Contrastive and attentive graph learning for multi-view clustering. Information Processing & Management. 59(4). 102967–102967. 33 indexed citations

12.

Wang, Ru & Xiaojun Chang. (2022). Existence of global solutions and blow-up for p-Laplacian parabolic equations with logarithmic nonlinearity on metric graphs. Electronic Journal of Differential Equations. 2022(01-87). 51–51. 1 indexed citations

13.

Chen, Qinghui, Bo Li, Ying Wang, et al.. (2022). Interpretable classification of pathology whole-slide images using attention based context-aware graph convolutional neural network. Computer Methods and Programs in Biomedicine. 229. 107268–107268. 24 indexed citations

14.

Wang, Ru, et al.. (2021). Trio-based collaborative multi-view graph clustering with multiple constraints. Information Processing & Management. 58(3). 102466–102466. 17 indexed citations

15.

Wang, Ru, et al.. (2016). Knowledge Service Method for Supporting Product Intellectualized Design. 37(11). 2113. 1 indexed citations

16.

Wang, Ru. (2015). Survey on Sina Weibo Research Based on Big Data Mining. Journal of Data Science. 1(1). 1. 1 indexed citations

17.

Wang, Ru, et al.. (2014). PEER REVIEWER RECOMMENDATION IN ONLINE SOCIAL LEARNING CONTEXT: INTEGRATING INFORMATION OF LEARNERS AND SUBMISSIONS. Journal of the Association for Information Systems. 295. 1 indexed citations

18.

Wang, Ru. (2014). Mobile Autonomous School and Its Application. Journal of Henan Normal University. 1 indexed citations

19.

Wang, Lichun, Ru Wang, Dehui Kong, & Baocai Yin. (2014). Similarity Assessment Model for Chinese Sign Language Videos. IEEE Transactions on Multimedia. 16(3). 751–761. 31 indexed citations

20.

Wang, Ru. (2003). Multimedia content description interface——MPEG-7. Information technology newsletter. 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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