R. Wong

2.4k citations
120 papers · 1.6k · h-index 19

Impact in

Papers in

    • Mathematical functions and polynomials 84
    • Differential Equations and Boundary Problems 16
    • Algebraic and Geometric Analysis 13
    • Spectral Theory in Mathematical Physics 19

R. Wong

111 papers receiving 1.4k citations

Peers

R. Wong
Comparison fields: 5 of 72
  • Applied Mathematics 957
  • Numerical Analysis 343
  • Modeling and Simulation 270
  • Algebra and Number Theory 197
  • Mathematical Physics 258
Replace Gerhard Schmeißer with:
Gerhard Schmeißer Germany
Yudell L. Luke United States
Tamás Erdélyi United States
Gradimir V. Milovanović Serbia
Sergeĭ K. Suslov United States
F. Alberto Grünbaum United States
A. Erdélyi United States
Paul Nevai United States
Einar Hille United States
T. S. Chihara United States
R. Wong relative to Gerhard Schmeißer Germany Gerhard Schmeißer's profile →
Citations per field
00.5×1.7×
Gerhard Schmeißer · 1×
Citations per year

Countries citing papers authored by R. Wong

Since Specialization
Citations

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

Fields of papers citing papers by R. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside R. Wong, 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 R. Wong Line = papers co-authored together R. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001334
2 199181
3 199247
4 198544
5 198843
6 197640
7 198034
8 199931
9 197830
10 197629
11 197926
12 200424
13 198221
14 199421
15 199620
16 197819
17 200519
18 201019
19 200619
20 200118

About R. Wong

R. Wong is a scholar working on Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics, Modeling and Simulation and Numerical Analysis, having authored 120 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (84 papers), Fractional Differential Equations Solutions (26 papers), Spectral Theory in Mathematical Physics (19 papers), Matrix Theory and Algorithms (19 papers), Differential Equations and Boundary Problems (16 papers), Algebraic and Geometric Analysis (13 papers), Advanced Mathematical Identities (13 papers) and Advanced Mathematical Modeling in Engineering (11 papers). The work is most often cited by research in Applied Mathematics (957 citations), Numerical Analysis (343 citations), Modeling and Simulation (270 citations), Algebra and Number Theory (197 citations) and Mathematical Physics (258 citations). R. Wong has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include C. L. Frenzen, Jet Wimp, Yu‐Qiu Zhao, Zhijun Wang, P. N. Shivakumar, Chunhua Ou, Changzheng Qu, Xiangsheng Wang, Max Wyman and Wenjun Zhang. Their work appears in journals such as Studies in Applied Mathematics, SIAM Journal on Mathematical Analysis, Mathematics of Computation, Proceedings of the American Mathematical Society and Journal of Approximation Theory.

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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