Heping Wang

1.5k citations
104 papers · 972 · h-index 18

Impact in

Papers in

    • Mathematical Approximation and Integration 36
    • Mathematical functions and polynomials 25
    • Advanced Harmonic Analysis Research 18
    • Mathematical Analysis and Transform Methods 9

Heping Wang

94 papers receiving 923 citations

Peers

Heping Wang
Comparison fields: 5 of 106
  • Numerical Analysis 351
  • Statistics and Probability 356
  • Applied Mathematics 373
  • Computational Mechanics 178
  • Algebra and Number Theory 31
Replace Mátyás A. Sustik with:
Mátyás A. Sustik United States
Sujit Kumar Mitra India
Venkat Chandrasekaran United States
Salah M. El‐Sayed Egypt
Qiang Ye United States
William A. Porter United States
M. H. Annaby Egypt
Roland Hildebrand France
Tetsuro Yamamoto Japan
Ziyan Luo China
Heping Wang relative to Mátyás A. Sustik United States Mátyás A. Sustik's profile →
Citations per field
00.5×11.4×
Mátyás A. Sustik · 1×
Citations per year

Countries citing papers authored by Heping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Heping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 200876
3 200567
4 200546
5 200645
6 202244
7 200738
8 200727
9 201026
10 201825
11 202324
12 200724
13 202320
14 201020
15 201719
16 201918
17 202118
18 200718
19 201813
20 200913

About Heping Wang

Heping Wang is a scholar working on Numerical Analysis, Applied Mathematics, Statistics and Probability, Computational Mechanics and Artificial Intelligence, having authored 104 papers that have together received 972 indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (36 papers), Mathematical functions and polynomials (25 papers), Approximation Theory and Sequence Spaces (18 papers), Advanced Harmonic Analysis Research (18 papers), Advanced Numerical Analysis Techniques (14 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Mathematical Analysis and Transform Methods (9 papers) and Energy Efficient Wireless Sensor Networks (7 papers). The work is most often cited by research in Numerical Analysis (351 citations), Statistics and Probability (356 citations), Applied Mathematics (373 citations), Computational Mechanics (178 citations) and Algebra and Number Theory (31 citations). Heping Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongwei Wang, Vijay Gupta, Hongbin Li, Jun Fang, Chang‐Feng Dai, Xuezhi Wu, Junyi Zuo, Xiaobo Zhang, Ashfaq Khokhar and Feng Dai. Their work appears in journals such as Journal of Approximation Theory, Journal of Mathematical Analysis and Applications, Journal of Complexity, Constructive Approximation and Journal of Fourier Analysis and Applications.

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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