Cheng Ding

643 total citations
31 papers, 307 citations indexed

About

Cheng Ding is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Cheng Ding has authored 31 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 15 papers in Biomedical Engineering and 7 papers in Surgery. Recurrent topics in Cheng Ding's work include ECG Monitoring and Analysis (13 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Heart Rate Variability and Autonomic Control (5 papers). Cheng Ding is often cited by papers focused on ECG Monitoring and Analysis (13 papers), Non-Invasive Vital Sign Monitoring (13 papers) and Heart Rate Variability and Autonomic Control (5 papers). Cheng Ding collaborates with scholars based in United States, China and Hong Kong. Cheng Ding's co-authors include Xiao Hu, Ran Xiao, Cynthia Rudin, Tânia Pereira, Kais Gadhoumi, Karl Meisel, Ting Ding, Yuhao Zhang, Chao Wang and Randall J. Lee and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Cheng Ding

26 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Ding United States 13 117 103 46 40 36 31 307
Zeye Liu China 12 77 0.7× 89 0.9× 60 1.3× 14 0.3× 35 1.0× 30 385
Zhiqiang Wei China 10 36 0.3× 89 0.9× 47 1.0× 67 1.7× 10 0.3× 29 268
César Cáceres United States 14 147 1.3× 141 1.4× 78 1.7× 26 0.7× 7 0.2× 24 542
Yucheng Sheng China 12 60 0.5× 28 0.3× 34 0.7× 17 0.4× 56 1.6× 36 456
Xiping Wang China 6 77 0.7× 80 0.8× 29 0.6× 14 0.3× 35 1.0× 9 204
Linda R. Davrath Israel 10 93 0.8× 195 1.9× 13 0.3× 35 0.9× 43 1.2× 18 411
Pavel Cejnar Czechia 13 90 0.8× 10 0.1× 93 2.0× 22 0.6× 17 0.5× 33 320
Ruijuan Chen China 12 49 0.4× 18 0.2× 48 1.0× 37 0.9× 9 0.3× 59 390
Mercedes J. Gaitán-González Mexico 9 88 0.8× 127 1.2× 36 0.8× 24 0.6× 45 1.3× 26 298

Countries citing papers authored by Cheng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ding. A scholar is included among the top collaborators of Cheng Ding 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 Cheng Ding. Cheng Ding 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
1.
Yang, Changqing, Cheng Ding, Shuo Wang, et al.. (2025). Identification of the role of MED6 in the development and prognosis of lung adenocarcinoma based on multi-omics profiling. Journal of Cancer. 16(7). 2362–2374.
2.
Jiang, Hui, Tianliang Yao, & Cheng Ding. (2025). PPG-based glucose sensors: a review. Artificial Intelligence Review. 58(12).
3.
4.
5.
Ding, Cheng, et al.. (2025). GPT-PPG: a GPT-based foundation model for photoplethysmography signals. Physiological Measurement. 46(5). 55004–55004. 1 indexed citations
6.
Ding, Cheng, et al.. (2024). Sparse learned kernels for interpretable and efficient medical time series processing. Nature Machine Intelligence. 6(10). 1132–1144. 4 indexed citations
7.
Ding, Cheng, Cynthia Rudin, Ran Xiao, et al.. (2024). Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms. IEEE Journal of Biomedical and Health Informatics. 28(5). 2650–2661. 3 indexed citations
8.
Ding, Cheng, et al.. (2024). SiamQuality: a ConvNet-based foundation model for photoplethysmography signals. Physiological Measurement. 45(8). 85004–85004. 11 indexed citations
9.
Ding, Cheng, et al.. (2024). Advances in deep learning for personalized ECG diagnostics: A systematic review addressing inter-patient variability and generalization constraints. Biosensors and Bioelectronics. 271. 117073–117073. 14 indexed citations
10.
Ding, Cheng, Ran Xiao, Weijia Wang, Elizabeth Holdsworth, & Xiao Hu. (2024). Photoplethysmography based atrial fibrillation detection: a continually growing field. Physiological Measurement. 45(4). 04TR01–04TR01. 4 indexed citations
11.
Ding, Cheng, et al.. (2024). A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation From Wearables. SHILAP Revista de lepidopterología. 6(3). 4 indexed citations
12.
Ding, Cheng, Ran Xiao, Duc H., et al.. (2023). Log-Spectral Matching GAN: PPG-Based Atrial Fibrillation Detection can be Enhanced by GAN-Based Data Augmentation With Integration of Spectral Loss. IEEE Journal of Biomedical and Health Informatics. 27(3). 1331–1341. 14 indexed citations
13.
Xiao, Ran, Cheng Ding, Xiao Hu, et al.. (2023). Integrating multimodal information in machine learning for classifying acute myocardial infarction. Physiological Measurement. 44(4). 44002–44002. 14 indexed citations
14.
Zhang, Oliver, Cheng Ding, Tânia Pereira, et al.. (2021). Explainability Metrics of Deep Convolutional Networks for Photoplethysmography Quality Assessment. IEEE Access. 9. 29736–29745. 19 indexed citations
15.
Cao, Guodong, Cheng Ding, Zhiyi Yang, et al.. (2021). Mass spectrometry investigation of nucleoside adducts of fatty acid hydroperoxides from oxidation of linolenic and linoleic acids. Journal of Chromatography A. 1649. 462236–462236. 8 indexed citations
16.
Ding, Cheng, et al.. (2021). A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables. Physiological Measurement. 42(12). 125003–125003. 25 indexed citations
17.
Xiao, Ran, Duc H., Cheng Ding, et al.. (2020). Generalizability of SuperAlarm via Cross-Institutional Performance Evaluation. IEEE Access. 8. 132404–132412. 5 indexed citations
18.
Pereira, Tânia, Cheng Ding, Kais Gadhoumi, et al.. (2019). Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation. Physiological Measurement. 40(12). 125002–125002. 38 indexed citations
19.
Ding, Cheng, Mengzhou Zhou, Chao Wang, et al.. (2018). Artificial Neural Network–Genetic Algorithm to Optimize Yin Rice Inoculation Fermentation Conditions for Improving Physico-chemical Characteristics. Food Science and Technology Research. 24(4). 729–737. 5 indexed citations
20.

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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