Jun Ping Wang

1.1k citations
24 papers · 913 · h-index 9

Impact in

    • Advanced Numerical Methods in Computational Mathematics
    • Computational Fluid Dynamics and Aerodynamics
    • Numerical methods for differential equations
    • Differential Equations and Numerical Methods

Papers in

Jun Ping Wang

21 papers receiving 790 citations

Peers

Jun Ping Wang
Comparison fields: 5 of 69
  • Computational Mechanics 702
  • Numerical Analysis 134
  • Computational Theory and Mathematics 350
  • Mechanics of Materials 310
  • Software 27
Replace Apostol Vassilev with:
Apostol Vassilev United States
Manish Malhotra United States
S. M. Roberts United States
Salvatore Filippone Italy
Bruce Lewis United States
Jinyun Yuan Brazil
Yang Cao China
J. M. Carnicer Spain
George M. Phillips United Kingdom
Eskil Hansen Sweden
Jun Ping Wang relative to Apostol Vassilev United States Apostol Vassilev's profile →
Citations per field
00.5×4.5×
Apostol Vassilev · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Ping Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Ping Wang Line = papers co-authored together Jun Ping Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989294
2 1991204
3 1991185
4 201948
5 201641
6 199138
7 198832
8 201024
9 202010
10 20108
11 20187
12 20236
13 20144
14 20133
15 20122
16 20132
17 20131
18 20141
19 20131
20 20121

About Jun Ping Wang

Jun Ping Wang is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Networks and Communications, Control and Systems Engineering and Mechanics of Materials, having authored 24 papers that have together received 913 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (5 papers), Numerical methods in engineering (3 papers), Artificial Intelligence in Games (2 papers), Digital Games and Media (2 papers), Educational Games and Gamification (2 papers), Structural Engineering and Vibration Analysis (2 papers), Vehicle Dynamics and Control Systems (2 papers) and Electric and Hybrid Vehicle Technologies (2 papers). The work is most often cited by research in Computational Mechanics (702 citations), Numerical Analysis (134 citations), Computational Theory and Mathematics (350 citations), Mechanics of Materials (310 citations) and Software (27 citations). Jun Ping Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent 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. Their work appears in journals such as Mathematics of Computation, IEEE Transactions on Industrial Informatics, IEEE Transactions on Reliability, IEEE Internet of Things Journal and Biology.

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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