Zeng-Ding Liu

583 total citations
14 papers, 393 citations indexed

About

Zeng-Ding Liu is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Zeng-Ding Liu has authored 14 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 13 papers in Biomedical Engineering and 8 papers in Surgery. Recurrent topics in Zeng-Ding Liu's work include Non-Invasive Vital Sign Monitoring (13 papers), Heart Rate Variability and Autonomic Control (10 papers) and Hemodynamic Monitoring and Therapy (7 papers). Zeng-Ding Liu is often cited by papers focused on Non-Invasive Vital Sign Monitoring (13 papers), Heart Rate Variability and Autonomic Control (10 papers) and Hemodynamic Monitoring and Therapy (7 papers). Zeng-Ding Liu collaborates with scholars based in China, Hong Kong and Italy. Zeng-Ding Liu's co-authors include Ye Li, Fen Miao, Bo Wen, Jikui Liu, Min Tang, Qingyun He, Xiping Wang, Giancarlo Fortino, Qingyun He and Jia Zeng and has published in prestigious journals such as Sensors, Frontiers in Physiology and IEEE Sensors Journal.

In The Last Decade

Zeng-Ding Liu

13 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zeng-Ding Liu China	10	318	283	143	34	31	14	393
M. Raghu Ram India	10	480 1.5×	382 1.3×	247 1.7×	48 1.4×	30 1.0×	18	559
Keerthana Natarajan United States	7	395 1.2×	375 1.3×	264 1.8×	20 0.6×	34 1.1×	7	490
Jermana Lopes de Moraes Brazil	6	171 0.5×	179 0.6×	58 0.4×	30 0.9×	21 0.7×	12	300
Mohammad Kachuee United States	6	448 1.4×	393 1.4×	232 1.6×	40 1.2×	25 0.8×	18	556
Mohammad Yavarimanesh United States	6	314 1.0×	304 1.1×	226 1.6×	14 0.4×	26 0.8×	7	390
Glauber Gean de Vasconcelos Brazil	5	164 0.5×	153 0.5×	69 0.5×	20 0.6×	16 0.5×	14	261
Mohammad Mahdi Kiani Iran	4	617 1.9×	552 2.0×	332 2.3×	61 1.8×	34 1.1×	6	691
Neide Simões‐Capela Belgium	5	256 0.8×	206 0.7×	101 0.7×	42 1.2×	20 0.6×	7	310
Tero Hurnanen Finland	13	401 1.3×	411 1.5×	128 0.9×	42 1.2×	49 1.6×	29	557

Countries citing papers authored by Zeng-Ding Liu

Since Specialization

Citations

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

Fields of papers citing papers by Zeng-Ding Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeng-Ding Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zeng-Ding Liu. A scholar is included among the top collaborators of Zeng-Ding Liu 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 Zeng-Ding Liu. Zeng-Ding Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Liu, Zeng-Ding, et al.. (2026). Obstet-LLM: Large Language Model for Early Prediction of SGA-LGA Newborns. Journal of Computer Science and Technology.

Liu, Zeng-Ding, Chen Chen, Jiannong Cao, et al.. (2024). Large Language Models for Cuffless Blood Pressure Measurement From Wearable Biosignals. 1–11. 5 indexed citations

Liu, Zeng-Ding, Ye Li, Yuan‐Ting Zhang, et al.. (2024). HGCTNet: Handcrafted Feature-Guided CNN and Transformer Network for Wearable Cuffless Blood Pressure Measurement. IEEE Journal of Biomedical and Health Informatics. 28(7). 3882–3894. 17 indexed citations

Liu, Zeng-Ding, et al.. (2024). A CNN and Transformer Hybrid Network for Multi-Class Arrhythmia Detection from Photoplethysmography. PubMed. 2024. 1–5. 2 indexed citations

Liu, Zeng-Ding, Ye Li, Yuan‐Ting Zhang, et al.. (2023). Cuffless Blood Pressure Measurement Using Smartwatches: A Large-Scale Validation Study. IEEE Journal of Biomedical and Health Informatics. 27(9). 4216–4227. 33 indexed citations

Miao, Fen, et al.. (2022). Wearable Multimodal Vital Sign Monitoring Sensor With Fully Integrated Analog Front End. IEEE Sensors Journal. 22(13). 13462–13471. 19 indexed citations

Miao, Fen, et al.. (2022). Wearable sensing, big data technology for cardiovascular healthcare: current status and future prospective. Chinese Medical Journal. 136(9). 1015–1025. 10 indexed citations

Miao, Fen, Bin Zhou, Zeng-Ding Liu, et al.. (2021). Using noninvasive adjusted pulse transit time for tracking beat-to-beat systolic blood pressure during ventricular arrhythmia. Hypertension Research. 45(3). 424–435. 3 indexed citations

Wang, Ruxin, et al.. (2021). Myocardial Infarction Detection and Localization with Electrocardiogram Based on Convolutional Neural Network. Chinese Journal of Electronics. 30(5). 833–842. 12 indexed citations

10.

Liu, Zeng-Ding, Bin Zhou, Ye Li, Min Tang, & Fen Miao. (2020). Continuous Blood Pressure Estimation From Electrocardiogram and Photoplethysmogram During Arrhythmias. Frontiers in Physiology. 11. 575407–575407. 24 indexed citations

11.

Miao, Fen, Bo Wen, Giancarlo Fortino, et al.. (2020). Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques. Artificial Intelligence in Medicine. 108. 101919–101919. 100 indexed citations

12.

Miao, Fen, Zeng-Ding Liu, Jikui Liu, et al.. (2019). Multi-Sensor Fusion Approach for Cuff-Less Blood Pressure Measurement. IEEE Journal of Biomedical and Health Informatics. 24(1). 79–91. 106 indexed citations

13.

Liu, Zeng-Ding, Fen Miao, Ruxin Wang, et al.. (2019). Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network. PubMed. 2019. 3775–3778. 9 indexed citations

14.

Liu, Zeng-Ding, Jikui Liu, Bo Wen, et al.. (2018). Cuffless Blood Pressure Estimation Using Pressure Pulse Wave Signals. Sensors. 18(12). 4227–4227. 53 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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