Pingping Bing
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Cancer Genomics and Diagnostics 4
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Genomics and Phylogenetic Studies 3
- Co-authors
- Bin-sheng He (20 shared papers)Geng Tian (14 shared papers)Jialiang Yang (11 shared papers)Wei Liu (9 shared papers)Jidong Lang (8 shared papers)Lemei Zhu (7 shared papers)Wenhu Zhou (1 shared paper)Songwen Tan (1 shared paper)
- Journals
- IEEE Access (5 papers)Frontiers in Bioengineering and Biotechnology (4 papers)Frontiers in Oncology (4 papers)Frontiers in Genetics (3 papers)Science China Life Sciences (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Pingping Bing
38 papers receiving 1.2k citations
Pingping Bing's Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 169
- Artificial Intelligence 184
- Health Information Management 45
- Oncology 106
- Molecular Biology 246
Countries citing papers authored by Pingping Bing
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
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-authors
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.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 88 | |
| 2 | 2020 | 79 | |
| 3 | 2020 | 77 | |
| 4 | 2020 | 72 | |
| 5 | 2020 | 71 | |
| 6 | 2022 | 67 | |
| 7 | A novel approach for denoising electrocardiogram signals to detect cardiovascular diseases using an efficient hybrid scheme Hit paper breakdown → | 2024 | 62 |
| 8 | 2021 | 60 | |
| 9 | 2020 | 57 | |
| 10 | 2022 | 57 | |
| 11 | 2021 | 51 | |
| 12 | 2019 | 49 | |
| 13 | 2021 | 49 | |
| 14 | 2022 | 49 | |
| 15 | 2023 | 48 | |
| 16 | 2023 | 42 | |
| 17 | 2019 | 33 | |
| 18 | 2021 | 29 | |
| 19 | 2021 | 24 | |
| 20 | 2022 | 24 |
About Pingping Bing
Pingping Bing is a scholar working on Cancer Research, Molecular Biology, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Oncology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), ECG Monitoring and Analysis (4 papers), Cancer Genomics and Diagnostics (4 papers), Computational Drug Discovery Methods (3 papers), Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (3 papers), Cancer Diagnosis and Treatment (3 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Cancer Research (169 citations), Artificial Intelligence (184 citations), Health Information Management (45 citations), Oncology (106 citations) and Molecular Biology (246 citations). Pingping Bing has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Bin-sheng He, Geng Tian, Jialiang Yang, Wei Liu, Jidong Lang, Lemei Zhu, Wenhu Zhou, Songwen Tan, Qingqing Lu and Bo Wang. Their work appears in journals such as IEEE Access, Frontiers in Bioengineering and Biotechnology, Frontiers in Oncology, Frontiers in Genetics and Science China Life Sciences.
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.