Junjun Wang

939 citations
50 papers · 759 · h-index 16

Impact in

Papers in

Junjun Wang

45 papers receiving 745 citations

Peers

Junjun Wang
Comparison fields: 5 of 70
  • Numerical Analysis 418
  • Modeling and Simulation 95
  • Computational Mechanics 360
  • Mechanics of Materials 272
  • Polymers and Plastics 85
Replace Michael C. Gross with:
Michael C. Gross Germany
I-Ling Chang Taiwan
Fahad M. Alharbi Saudi Arabia
Mushtaq Ahmad Pakistan
Sungha Yoon South Korea
Yen-Liang Yeh Taiwan
Yulan Lu China
Jeongho Ahn South Korea
Susan Helen Pulko United Kingdom
Junjun Wang relative to Michael C. Gross Germany Michael C. Gross's profile →
Citations per field
00.5×5×10×17×
Michael C. Gross · 1×
Citations per year

Countries citing papers authored by Junjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junjun 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 Junjun Wang Line = papers co-authored together Junjun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201776
2 201675
3 201548
4 200742
5 201640
6 201937
7
Fostering Elementary Students’ Mathematics Disposition through Music-Mathematics Integrated Lessons
201435
8 200934
9 201931
10 201630
11 201730
12 201627
13 201726
14 201624
15 200822
16 201717
17 201215
18 201913
19 201813
20 202112

About Junjun Wang

Junjun Wang is a scholar working on Numerical Analysis, Computational Mechanics, Mechanics of Materials, Modeling and Simulation and Electrical and Electronic Engineering, having authored 50 papers that have together received 759 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (29 papers), Numerical methods in engineering (24 papers), Numerical methods for differential equations (21 papers), Differential Equations and Numerical Methods (11 papers), Electromagnetic Simulation and Numerical Methods (8 papers), Muon and positron interactions and applications (5 papers), Graphene research and applications (3 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Numerical Analysis (418 citations), Modeling and Simulation (95 citations), Computational Mechanics (360 citations), Mechanics of Materials (272 citations) and Polymers and Plastics (85 citations). Junjun Wang has collaborated with scholars based in China. Frequent co-authors include Dongyang Shi, Meng Li, Wei Zhou, Yuchan Zhu, Song A. An, Daniel A. Tillman, N. D. Qi, Meng Li, Liqun Zhang and Jinrong Wu. Their work appears in journals such as Computers & Mathematics with Applications, Mathematical Methods in the Applied Sciences, Applied Numerical Mathematics, Numerical Methods for Partial Differential Equations and Applied Mathematics and Computation.

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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