Pingping Bing

1.6k citations
35 papers · 1.0k indexed · 1 hit paper · h-index 20

Impact in

Papers in

    • Cancer Genomics and Diagnostics 6
    • Cancer-related molecular mechanisms research 3
    • Cancer Diagnosis and Treatment 4

Pingping Bing

34 papers receiving 990 citations

Hit Papers

A novel approach for denoising electrocardiogram signals to detect cardiovascular diseases using an efficient hybrid scheme 2024 · 49 citations
4920242026202510203040

Peers

Pingping Bing
Comparison fields: 5 of 135
  • Cancer Research 199
  • Health Information Management 32
  • Health Informatics 9
  • Oncology 151
  • Radiology, Nuclear Medicine and Imaging 123
Replace Jing Tang with:
Jing Tang China
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Yiqin Wang China
Bing Hu China
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Giuseppe Tradigo Italy
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Pingping Bing relative to Jing Tang China Jing Tang's profile →
Citations per field
00.5×1.5×2.3×
Jing Tang · 1×
Citations per year

Countries citing papers authored by Pingping Bing

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20256
3 20250
4
A novel approach for denoising electrocardiogram signals to detect cardiovascular diseases using an efficient hybrid scheme
Hit paper breakdown →
202449
5 202411
6 20241
7 20231
8 202331
9 202245
10 202213
11 202253
12 202121
13 202145
14 202185
15 202071
16 202034
17 202017
18 202073
19 201911
20 201943

About Pingping Bing

Pingping Bing is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Internal Medicine and Geophysics, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), ECG Monitoring and Analysis (4 papers), Cancer Diagnosis and Treatment (4 papers), Tumors and Oncological Cases (4 papers), Machine Learning in Bioinformatics (3 papers), Single-cell and spatial transcriptomics (3 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (199 citations), Health Information Management (32 citations), Health Informatics (9 citations), Oncology (151 citations) and Radiology, Nuclear Medicine and Imaging (123 citations). Pingping Bing has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Binsheng He, Geng Tian, Jialiang Yang, Wei Liu, Jidong Lang, Lemei Zhu, Bingsheng He, Bo Wang, Songwen Tan and Wenhu Zhou. Their work appears in journals such as IEEE Access, Frontiers in Bioengineering and Biotechnology, Frontiers in Oncology, Science China Life Sciences and Frontiers in Genetics.

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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