Pingping Bing

1.6k total citations · 1 hit paper
35 papers, 1.0k citations indexed

About

Pingping Bing is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pingping Bing has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Pingping Bing's work include Cancer Genomics and Diagnostics (6 papers), ECG Monitoring and Analysis (4 papers) and Cancer Diagnosis and Treatment (4 papers). Pingping Bing is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), ECG Monitoring and Analysis (4 papers) and Cancer Diagnosis and Treatment (4 papers). Pingping Bing collaborates with scholars based in China, United States and Singapore. Pingping Bing's co-authors include Binsheng He, Geng Tian, Jialiang Yang, Wei Liu, Jidong Lang, Lemei Zhu, Bingsheng He, Qingqing Lu, Songwen Tan and Bo Wang and has published in prestigious journals such as IEEE Access, Molecules and BioMed Research International.

In The Last Decade

Pingping Bing

34 papers receiving 990 citations

Hit Papers

A novel approach for denoising electrocardiogram signals ... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingping Bing China 20 335 199 167 151 124 35 1.0k
Petr Vaňhara Czechia 21 414 1.2× 111 0.6× 231 1.4× 302 2.0× 86 0.7× 53 1.5k
Hong Guo China 19 497 1.5× 163 0.8× 120 0.7× 126 0.8× 83 0.7× 90 1.2k
Himanshu Arora United States 21 474 1.4× 338 1.7× 60 0.4× 178 1.2× 108 0.9× 87 1.5k
Piyushkumar A. Mundra Australia 20 745 2.2× 260 1.3× 154 0.9× 362 2.4× 112 0.9× 48 1.6k
Hyoeun Kim South Korea 20 597 1.8× 298 1.5× 138 0.8× 52 0.3× 105 0.8× 98 1.7k
Yiqin Wang China 17 258 0.8× 93 0.5× 103 0.6× 71 0.5× 99 0.8× 133 1.1k
José A. Seoane Spain 21 839 2.5× 372 1.9× 123 0.7× 396 2.6× 161 1.3× 55 1.6k
Qingqing Chen China 19 306 0.9× 60 0.3× 142 0.9× 78 0.5× 111 0.9× 120 1.4k
Yunjun Wang China 17 727 2.2× 139 0.7× 191 1.1× 89 0.6× 136 1.1× 47 1.5k

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 of co-authors of Pingping Bing

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Bing. A scholar is included among the top collaborators of Pingping Bing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pingping Bing. Pingping Bing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
He, Binsheng, Pingping Bing, Lei Ji, et al.. (2025). Microbiome-transcriptome-histology triad enhances survival risk stratification in multiple cancers. Computational Biology and Chemistry. 120(Pt 2). 108703–108703.
3.
Zhu, Lemei, Yuqing Liu, Baoli Zhu, et al.. (2025). Noncoding RNAs in Atopic Dermatitis: Insight Into Inflammation and Immune Regulation. Dermatologic Therapy. 2025(1). 6 indexed citations
4.
Zhu, Lemei, et al.. (2024). Effectiveness and safety of rivaroxaban or low-molecular-weight heparin in non-major orthopedic surgery: a meta-analysis of randomized controlled trials. Journal of Orthopaedic Surgery and Research. 19(1). 609–609. 1 indexed citations
5.
Liu, Wei, et al.. (2024). FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification. IEEE Access. 12. 70825–70832. 11 indexed citations
6.
Bing, Pingping, et al.. (2024). A novel approach for denoising electrocardiogram signals to detect cardiovascular diseases using an efficient hybrid scheme. Frontiers in Cardiovascular Medicine. 11. 1277123–1277123. 49 indexed citations breakdown →
7.
Bing, Pingping, Wei Liu, Haoqi Zhang, et al.. (2023). Synchrosqueezing Transform Based on Frequency-Domain Gaussian-Modulated Linear Chirp Model for Seismic Time–Frequency Analysis. Mathematics. 11(13). 2904–2904. 1 indexed citations
8.
Bing, Pingping, et al.. (2022). Electrocardiogram classification using TSST-based spectrogram and ConViT. Frontiers in Cardiovascular Medicine. 9. 983543–983543. 45 indexed citations
9.
He, Binsheng, Ju Xiang, Pingping Bing, et al.. (2022). DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network. Briefings in Bioinformatics. 23(6). 13 indexed citations
10.
Zhang, Yu, Lin Lin, Yunfei Wu, et al.. (2022). Upregulation of TIMM8A is correlated with prognosis and immune regulation in BC. Frontiers in Oncology. 12. 922178–922178. 13 indexed citations
11.
Yang, Linhui, et al.. (2022). Identification of novel cuproptosis-related lncRNA signatures to predict the prognosis and immune microenvironment of breast cancer patients. Frontiers in Oncology. 12. 988680–988680. 53 indexed citations
12.
Lang, Jidong, Rongrong Zhu, Xue Sun, et al.. (2021). Evaluation of the MGISEQ-2000 Sequencing Platform for Illumina Target Capture Sequencing Libraries. Frontiers in Genetics. 12. 730519–730519. 21 indexed citations
13.
Bing, Pingping, Wei Liu, & Zhihua Zhang. (2020). A Robust Random Noise Suppression Method for Seismic Data Using Sparse Low-Rank Estimation in the Time-Frequency Domain. IEEE Access. 8. 183546–183556. 5 indexed citations
14.
He, Bingsheng, Jidong Lang, Pingping Bing, et al.. (2020). A machine learning framework to trace tumor tissue-of-origin of 13 types of cancer based on DNA somatic mutation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(11). 165916–165916. 71 indexed citations
15.
He, Binsheng, Junlin Xu, Bo Liao, et al.. (2020). Gene Coexpression Network and Module Analysis across 52 Human Tissues. BioMed Research International. 2020(1). 6782046–6782046. 8 indexed citations
16.
He, Binsheng, Yanxiang Zhang, Zhen Zhou, et al.. (2020). A Neural Network Framework for Predicting the Tissue-of-Origin of 15 Common Cancer Types Based on RNA-Seq Data. Frontiers in Bioengineering and Biotechnology. 8. 737–737. 61 indexed citations
17.
He, Binsheng, Jidong Lang, Bo Wang, et al.. (2020). TOOme: A Novel Computational Framework to Infer Cancer Tissue-of-Origin by Integrating Both Gene Mutation and Expression. Frontiers in Bioengineering and Biotechnology. 8. 394–394. 73 indexed citations
18.
He, Binsheng, Rongrong Zhu, Qingqing Lu, et al.. (2020). Assessing the Impact of Data Preprocessing on Analyzing Next Generation Sequencing Data. Frontiers in Bioengineering and Biotechnology. 8. 817–817. 34 indexed citations
20.
Tang, Wenjie, Jian Wu, Liuqin He, et al.. (2019). Glutamate and aspartate alleviate testicular/epididymal oxidative stress by supporting antioxidant enzymes and immune defense systems in boars. Science China Life Sciences. 63(1). 116–124. 43 indexed citations

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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