Hongxing Wang

2.0k citations
84 papers · 1.5k indexed · h-index 21

Hongxing Wang

75 papers receiving 1.4k citations

Peers

Hongxing Wang
Comparison fields: 5 of 97
  • Computational Mathematics 42
  • Computational Theory and Mathematics 613
  • Numerical Analysis 187
  • Algebra and Number Theory 134
  • Statistical and Nonlinear Physics 286
Replace Guoliang Chen with:
Guoliang Chen China
N.K. Bose United States
Marko D. Petković Serbia
Beatrice Meini Italy
George E. Collins United States
J. William Helton United States
Jǐŕı Rohn Czechia
Mark A. Shayman United States
L. Elsner Germany
M. Tismenetsky Israel
Hongxing Wang relative to Guoliang Chen China Guoliang Chen's profile →
Citations per field
00.5×1.5×
Guoliang Chen · 1×
Citations per year

Countries citing papers authored by Hongxing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongxing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20241
5 20233
6 20239
7 20232
8 20238
9 20231
10 20235
11 20233
12 20202
13 202015
14 201553
15 201511
16 201522
17
Rank characterizations of some matrix partial orderings
20113
18
Nonsinusoidal demodulation method based on prolate spheroidal wave functions and its performance analysis
20110
19 20092
20 20047

About Hongxing Wang

Hongxing Wang is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (50 papers), Advanced Optimization Algorithms Research (25 papers), graph theory and CDMA systems (14 papers), Advanced Topics in Algebra (8 papers), Iterative Methods for Nonlinear Equations (7 papers), Tensor decomposition and applications (7 papers), Neural Networks Stability and Synchronization (7 papers) and Advanced Control Systems Design (6 papers). The work is most often cited by research in Computational Mathematics (42 citations), Computational Theory and Mathematics (613 citations) and Numerical Analysis (187 citations). Hongxing Wang has collaborated with scholars based in China, Australia and Pakistan. Frequent co-authors include Heng Liu, Xiaoji Liu, Sheng-Gang Li, Jinde Cao, Yan Zhou, Yongping Pan, Yeguo Sun, Guanjun Li, Jianlong Chen and Xuebo Jin. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy and Chemical Engineering Science.

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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