Heping Wang

1.5k citations
105 papers · 1.0k · h-index 19

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

96 papers receiving 977 citations

Peers

Heping Wang
Comparison fields: 5 of 111
  • Numerical Analysis 366
  • Statistics and Probability 365
  • Applied Mathematics 386
  • Computational Mechanics 183
  • Algebra and Number Theory 31
Replace Peter J. Grabner with:
Peter J. Grabner Austria
Salah M. El‐Sayed Egypt
Qiang Ye United States
Mátyás A. Sustik United States
Horst Martini Germany
Sujit Kumar Mitra India
William A. Porter United States
Venkat Chandrasekaran United States
Matthew Fickus United States
Tetsuro Yamamoto Japan
Heping Wang relative to Peter J. Grabner Austria Peter J. Grabner's profile →
Citations per field
00.5×6.3×
Peter J. Grabner · 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 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200880
2 201878
3 200569
4 202248
5 200548
6 200646
7 200738
8 200727
9 201026
10 200825
11 201825
12 202324
13 200724
14 202322
15 200721
16 201020
17 202119
18 201719
19 201918
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 105 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (36 papers), Mathematical functions and polynomials (25 papers), Advanced Harmonic Analysis Research (18 papers), Approximation Theory and Sequence Spaces (18 papers), Advanced Numerical Analysis Techniques (14 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Mathematical Analysis and Transform Methods (9 papers) and Energy Efficient Wireless Sensor Networks (8 papers). The work is most often cited by research in Numerical Analysis (366 citations), Statistics and Probability (365 citations), Applied Mathematics (386 citations), Computational Mechanics (183 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 Vijay Gupta, Hongwei Wang, Hongbin Li, Xiaobo Zhang, Jun Fang, Ashfaq Khokhar, Chang‐Feng Dai, Xuezhi Wu, Farid Naït‐Abdesselam and Junyi Zuo. Their work appears in journals such as Journal of Approximation Theory, Journal of Mathematical Analysis and Applications, Journal of Complexity, Constructive Approximation and Drug Delivery.

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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