Heping Ding

409 citations
33 papers · 301 · h-index 10

Impact in

Papers in

Heping Ding

30 papers receiving 287 citations

Peers

Heping Ding
Comparison fields: 5 of 55
  • Signal Processing 165
  • Computational Mechanics 121
  • Computational Mathematics 2
  • Bioengineering 11
  • Computer Vision and Pattern Recognition 39
Replace Naoki Ono with:
Naoki Ono Japan
Yoshikazu Yamaguchi Japan
Yung‐Fang Chen Taiwan
Hao Shen China
Wenxin Yu China
Anzhong Hu China
Dusan Petranovic United States
Andrea Ferrise Italy
Fangyuan Xing China
Heping Ding relative to Naoki Ono Japan Naoki Ono's profile →
Citations per field
00.5×2×3×4×4.6×
Naoki Ono · 1×
Citations per year

Countries citing papers authored by Heping Ding

Since Specialization
Citations

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

Fields of papers citing papers by Heping Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201045
3 200727
4 201023
5 202019
6 200719
7 200218
8 202017
9
A survey of double-talk detection schemes for echo cancellation applications
200410
10 201110
11 20128
12 20046
13 20035
14 20065
15 20105
16
Double-talk detection schemes for echo cancellation
20043
17 20183
18 20183
19 20103
20 20103

About Heping Ding

Heping Ding is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering, having authored 33 papers that have together received 301 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Advanced Adaptive Filtering Techniques (18 papers), Blind Source Separation Techniques (12 papers), Advanced Data Compression Techniques (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Nanomaterials and Printing Technologies (3 papers), Advanced Sensor Technologies Research (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Signal Processing (165 citations), Computational Mechanics (121 citations), Computational Mathematics (2 citations), Bioengineering (11 citations) and Computer Vision and Pattern Recognition (39 citations). Heping Ding has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Fuliang Yin, Lin Wang, Ye Tao, Lin Wang, Ta‐Ya Chu, Christophe Py, Afshin Dadvand, HENRY K. LEUNG, Siyue Chen and Wei Zhou. Their work appears in journals such as Journal of Rare Earths, Organic Electronics, IEEE Transactions on Signal Processing, IEEE Transactions on Instrumentation and Measurement and Journal of Luminescence.

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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