Jun Ping Wang

1.1k total citations
24 papers, 843 citations indexed

About

Jun Ping Wang is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Jun Ping Wang has authored 24 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 4 papers in Computer Networks and Communications. Recurrent topics in Jun Ping Wang's work include Advanced Numerical Methods in Computational Mathematics (5 papers), Numerical methods in engineering (3 papers) and Digital Games and Media (2 papers). Jun Ping Wang is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (5 papers), Numerical methods in engineering (3 papers) and Digital Games and Media (2 papers). Jun Ping Wang collaborates with scholars based in China, United States and Sweden. Jun Ping Wang's co-authors include Jim Douglas, Joseph E. Pasciak, James H. Bramble, Jinchao Xu, Jinchao Xu, Ricardo H. Nochetto, Ricardo G. Durán, Wensheng Zhang, Ian Thomas and Yunchuan Sun and has published in prestigious journals such as Mathematics of Computation, IEEE Transactions on Industrial Informatics and IEEE Internet of Things Journal.

In The Last Decade

Jun Ping Wang

19 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Ping Wang China 9 651 323 285 199 127 24 843
Apostol Vassilev United States 12 345 0.5× 361 1.1× 70 0.2× 82 0.4× 197 1.6× 22 671
Paul E. Plassmann United States 13 322 0.5× 368 1.1× 36 0.1× 133 0.7× 74 0.6× 47 895
Olaf O. Storaasli United States 14 112 0.2× 167 0.5× 65 0.2× 100 0.5× 53 0.4× 48 648
Zhonghai Ding United States 11 94 0.1× 210 0.7× 53 0.2× 122 0.6× 66 0.5× 26 583
Calvin J. Ribbens United States 15 306 0.5× 111 0.3× 146 0.5× 43 0.2× 56 0.4× 72 970
Steven J. Benson United States 8 125 0.2× 146 0.5× 33 0.1× 55 0.3× 156 1.2× 9 374
Christian Meyer Germany 17 560 0.9× 579 1.8× 177 0.6× 43 0.2× 211 1.7× 63 1.1k
Jumat Sulaiman Malaysia 12 80 0.1× 232 0.7× 124 0.4× 31 0.2× 393 3.1× 258 836
Manish Malhotra United States 10 74 0.1× 146 0.5× 69 0.2× 86 0.4× 61 0.5× 17 381
Cosmin G. Petra United States 12 72 0.1× 117 0.4× 39 0.1× 193 1.0× 120 0.9× 31 517

Countries citing papers authored by Jun Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Ping Wang. A scholar is included among the top collaborators of Jun Ping 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 Jun Ping Wang. Jun Ping 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
1.
Wang, Song, et al.. (2025). scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data. Biology. 14(6). 679–679.
2.
Wang, Jun Ping, et al.. (2023). The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network. IEEE Internet of Things Journal. 10(11). 9398–9410. 5 indexed citations
3.
Zhang, Wensheng, Jun Ping Wang, Yong‐Fei Wang, & Zhengya Sun. (2020). Constructing and inferring event logic cognitive graph in the field of big data. Scientia Sinica Informationis. 50(7). 988–1002. 8 indexed citations
4.
Yu, Xiao, Jin Liu, Jacky Keung, et al.. (2019). Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM. IEEE Transactions on Reliability. 69(1). 139–153. 45 indexed citations
5.
Wang, Jun Ping, et al.. (2018). Multitask Policy Adversarial Learning for Human-Level Control With Large State Spaces. IEEE Transactions on Industrial Informatics. 15(4). 2395–2404. 7 indexed citations
6.
Wang, Jun Ping, et al.. (2016). Large-Scale Online Multitask Learning and Decision Making for Flexible Manufacturing. IEEE Transactions on Industrial Informatics. 12(6). 2139–2147. 40 indexed citations
7.
Wang, Jun Ping, et al.. (2014). Wireless Sensor Network Mobile Agent Routing Based on the Improved Ant Colony Algorithm. Applied Mechanics and Materials. 587-589. 2339–2345. 4 indexed citations
8.
Wang, Jun Ping, Jing Wang, X. Zhou, et al.. (2014). Aqueous Gelcasting Synthesis of Zirconium Diboride. Key engineering materials. 633. 31–34. 1 indexed citations
9.
Wang, Jun Ping, et al.. (2013). A Study on CIF-to-BMP Format Transformation Algorithm. Advanced materials research. 712-715. 2510–2513.
10.
Liu, Wei, et al.. (2013). The Finite Element Analysis of Overall Stability of High-Frequency Welded H-Section Steel Beam. Advanced materials research. 671-674. 810–814. 1 indexed citations
11.
Wang, Jun Ping, et al.. (2013). The Analysis of Double-Nonlinearity Stability of Concrete Filled Steel-Tube Arch Bridge. Advanced materials research. 724-725. 1709–1713. 2 indexed citations
12.
Wang, Jun Ping, et al.. (2012). Application of Sliding Mode Control for Electric Vehicle Antilock Braking Systems. Advanced materials research. 505. 440–446. 2 indexed citations
13.
Wang, Jun Ping, et al.. (2012). COE Based on Redundancy Material Defect. Advanced materials research. 472-475. 1792–1795.
14.
Shi, Zhiyuan, et al.. (2010). Automatic game AI design by the use of UCT for Dead-End. 2010 Sixth International Conference on Natural Computation. 2. 3846–3850. 1 indexed citations
15.
Hao, Yang, et al.. (2010). Dynamic Difficulty Adjustment of Game AI by MCTS for the game Pac-Man. 2010 Sixth International Conference on Natural Computation. 3918–3922. 22 indexed citations
16.
Wang, Jun Ping. (2008). Image Moment Based Visual Servo Control and Its Application. Journal of Mechanical Engineering. 44(10). 308–308.
17.
Bramble, James H., Joseph E. Pasciak, Jun Ping Wang, & Jinchao Xu. (1991). Convergence estimates for product iterative methods with applications to domain decomposition. Mathematics of Computation. 57(195). 1–1. 170 indexed citations
18.
Wang, Jun Ping. (1991). Superconvergence and extrapolation for mixed finite element methods on rectangular domains. Mathematics of Computation. 56(194). 477–503. 38 indexed citations
19.
Bramble, James H., Joseph E. Pasciak, Jun Ping Wang, & Jinchao Xu. (1991). Convergence estimates for multigrid algorithms without regularity assumptions. Mathematics of Computation. 57(195). 23–23. 180 indexed citations
20.
Durán, Ricardo G., Ricardo H. Nochetto, & Jun Ping Wang. (1988). Sharp maximum norm error estimates for finite element approximations of the Stokes problem in 2-D. Mathematics of Computation. 51(184). 491–506. 29 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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