Yongbo Liang

2.0k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Yongbo Liang is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Yongbo Liang has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 20 papers in Biomedical Engineering and 9 papers in Surgery. Recurrent topics in Yongbo Liang's work include Non-Invasive Vital Sign Monitoring (19 papers), Heart Rate Variability and Autonomic Control (17 papers) and Hemodynamic Monitoring and Therapy (9 papers). Yongbo Liang is often cited by papers focused on Non-Invasive Vital Sign Monitoring (19 papers), Heart Rate Variability and Autonomic Control (17 papers) and Hemodynamic Monitoring and Therapy (9 papers). Yongbo Liang collaborates with scholars based in China, Canada and Australia. Yongbo Liang's co-authors include Mohamed Elgendi, Rabab Ward, Zhencheng Chen, Newton Howard, Derek Abbott, Kenneth Lim, R. Fletcher, Nigel H. Lovell, Guiyong Liu and Jianming Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Yongbo Liang

24 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The use of photoplethysmography for assessing hypertension

2019 409 citations Mohamed Elgendi, R. Fletcher et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongbo Liang China	16	1.1k	1.1k	490	147	113	28	1.4k
Tuija Vasankari Finland	16	429 0.4×	698 0.7×	156 0.3×	53 0.4×	84 0.7×	61	957
Mikko Pänkäälä Finland	18	938 0.8×	733 0.7×	285 0.6×	77 0.5×	107 0.9×	58	1.2k
In Cheol Jeong United States	13	363 0.3×	270 0.3×	146 0.3×	50 0.3×	66 0.6×	71	829
Zhengbo Zhang China	17	337 0.3×	325 0.3×	102 0.2×	87 0.6×	41 0.4×	106	870
Mojtaba Jafari Tadi Finland	15	769 0.7×	577 0.5×	228 0.5×	53 0.4×	100 0.9×	31	897
J. Alex Heller United States	14	549 0.5×	432 0.4×	256 0.5×	26 0.2×	77 0.7×	39	796
Izmail Batkin Canada	14	567 0.5×	580 0.6×	236 0.5×	71 0.5×	21 0.2×	35	904
Vessela Krasteva Bulgaria	21	493 0.4×	961 0.9×	157 0.3×	507 3.4×	32 0.3×	93	1.2k
Willemijn Groenendaal Netherlands	16	334 0.3×	278 0.3×	134 0.3×	102 0.7×	40 0.4×	43	819
Daniel Guldenring United Kingdom	17	136 0.1×	495 0.5×	110 0.2×	118 0.8×	103 0.9×	70	765

Countries citing papers authored by Yongbo Liang

Since Specialization

Citations

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

Fields of papers citing papers by Yongbo Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongbo Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongbo Liang. A scholar is included among the top collaborators of Yongbo Liang 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 Yongbo Liang. Yongbo Liang 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:

20 of 20 papers shown

Pan, Jian, et al.. (2025). MSA-Net: multiple self-attention mechanism for 3D lung nodule classification in CT images. BMC Medical Imaging. 25(1). 193–193.

Liu, Lei, et al.. (2025). A Novel Model for Noninvasive Haemoglobin Detection Based on Visibility Network and Clustering Network for Multi-Wavelength PPG Signals. Algorithms. 18(2). 75–75.

Pan, Jian, et al.. (2024). Robust modelling of arterial blood pressure reconstruction from photoplethysmography. Scientific Reports. 14(1). 30333–30333.

Zhang, Han, Ziyi Wang, Yan Zhuang, et al.. (2024). Assessment of Mental Workload Level Based on PPG Signal Fusion Continuous Wavelet Transform and Cardiopulmonary Coupling Technology. Electronics. 13(7). 1238–1238. 3 indexed citations

Liang, Yongbo, et al.. (2024). SADSNet: A robust 3D synchronous segmentation network for liver and liver tumors based on spatial attention mechanism and deep supervision. Journal of X-Ray Science and Technology. 32(3). 707–723. 1 indexed citations

Zhuang, Yan, et al.. (2024). ACNN-BiLSTM: A Deep Learning Approach for Continuous Noninvasive Blood Pressure Measurement Using Multi-Wavelength PPG Fusion. Bioengineering. 11(4). 306–306. 2 indexed citations

Wang, Ziyi, et al.. (2023). Whale Optimization Algorithm with a Hybrid Relation Vector Machine: A Highly Robust Respiratory Rate Prediction Model Using Photoplethysmography Signals. Diagnostics. 13(5). 913–913. 2 indexed citations

Chen, Zhencheng, et al.. (2023). Research on a Non-Invasive Hemoglobin Measurement System Based on Four-Wavelength Photoplethysmography. Electronics. 12(6). 1346–1346. 9 indexed citations

Hu, Xudong, Shimin Yin, Carlo Menon, et al.. (2023). Blood pressure stratification using photoplethysmography and light gradient boosting machine. Frontiers in Physiology. 14. 1072273–1072273. 19 indexed citations

10.

Tang, Qunfeng, Zhencheng Chen, Yongbo Liang, et al.. (2022). Robust Reconstruction of Electrocardiogram Using Photoplethysmography: A Subject-Based Model. Frontiers in Physiology. 13. 859763–859763. 19 indexed citations

11.

Liang, Yongbo, et al.. (2020). Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals. Frontiers in Physiology. 11. 569050–569050. 34 indexed citations

12.

Liang, Yongbo, et al.. (2020). Impact of Data Transformation: An ECG Heartbeat Classification Approach. Frontiers in Digital Health. 2. 610956–610956. 2 indexed citations

13.

Liang, Yongbo, Derek Abbott, Newton Howard, et al.. (2019). How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database. Journal of Clinical Medicine. 8(3). 337–337. 66 indexed citations

14.

Elgendi, Mohamed, R. Fletcher, Yongbo Liang, et al.. (2019). The use of photoplethysmography for assessing hypertension. npj Digital Medicine. 2(1). 60–60. 409 indexed citations breakdown →

15.

Liang, Yongbo, Zhencheng Chen, Rabab Ward, & Mohamed Elgendi. (2018). Hypertension Assessment via ECG and PPG Signals: An Evaluation Using MIMIC Database. Diagnostics. 8(3). 65–65. 101 indexed citations

16.

Liang, Yongbo, Mohamed Elgendi, Zhencheng Chen, & Rabab Ward. (2018). An optimal filter for short photoplethysmogram signals. Scientific Data. 5(1). 180076–180076. 150 indexed citations

17.

Liang, Yongbo, Zhencheng Chen, Guiyong Liu, & Mohamed Elgendi. (2018). A new, short-recorded photoplethysmogram dataset for blood pressure monitoring in China. Scientific Data. 5(1). 180020–180020. 148 indexed citations

18.

Zhang, Yang, Jianming Zhu, Yongbo Liang, et al.. (2017). Non-invasive blood glucose detection system based on conservation of energy method. Physiological Measurement. 38(2). 325–342. 25 indexed citations

19.

Zhao, Xiaolei, et al.. (2016). Detection of ALK gene rearrangement in non-small cell lung cancer. 43(5). 340–342.

20.

Cao, Liangli, Yongbo Liang, Feijun Zhao, Xiongjie Zhao, & Zhencheng Chen. (2016). Chelerythrine and Fe₃O₄ Loaded Multi-Walled Carbon Nanotubes for Targeted Cancer Therapy. Journal of Biomedical Nanotechnology. 12(6). 1312–1322. 11 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.

Explore authors with similar magnitude of impact