Xin Zhu

1.6k total citations · 1 hit paper
81 papers, 985 citations indexed

About

Xin Zhu is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Xin Zhu has authored 81 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 15 papers in Biomedical Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Xin Zhu's work include Colorectal Cancer Screening and Detection (12 papers), Cardiac electrophysiology and arrhythmias (10 papers) and ECG Monitoring and Analysis (9 papers). Xin Zhu is often cited by papers focused on Colorectal Cancer Screening and Detection (12 papers), Cardiac electrophysiology and arrhythmias (10 papers) and ECG Monitoring and Analysis (9 papers). Xin Zhu collaborates with scholars based in Japan, China and Taiwan. Xin Zhu's co-authors include Weihao Weng, Keijiro Nakamura, Liang Lin, Qing Wang, Guanbin Li, Xue Zhou, Mahito Noro, Kun Wang, Xiaogang Wang and Wanli Ouyang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xin Zhu

72 papers receiving 952 citations

Hit Papers

1 papers align trajectories

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.

INet: Convolutional Networks for Biomedical Image Segmentation

2021 299 citations Weihao Weng, Xin Zhu profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin Zhu Japan	14	298	181	153	123	111	81	985
Zhi‐Ri Tang China	20	150 0.5×	203 1.1×	152 1.0×	111 0.9×	50 0.5×	62	1.1k
Yujun Li China	15	206 0.7×	209 1.2×	62 0.4×	81 0.7×	125 1.1×	143	1.0k
Cataldo Guaragnella Italy	15	294 1.0×	134 0.7×	70 0.5×	143 1.2×	59 0.5×	86	1.0k
Yu Zhu China	21	707 2.4×	290 1.6×	224 1.5×	218 1.8×	24 0.2×	132	1.7k
M. K. Bhuyan India	19	853 2.9×	203 1.1×	137 0.9×	420 3.4×	153 1.4×	181	1.6k
Zhicheng Yang China	19	397 1.3×	375 2.1×	137 0.9×	341 2.8×	136 1.2×	87	1.5k
Shuihua Wang United Kingdom	20	417 1.4×	502 2.8×	385 2.5×	128 1.0×	64 0.6×	66	1.4k
Guangmin Sun China	20	406 1.4×	280 1.5×	301 2.0×	128 1.0×	30 0.3×	148	1.3k
Qinghua Zhou China	17	372 1.2×	372 2.1×	336 2.2×	170 1.4×	37 0.3×	48	1.3k
Sanghoon Jun South Korea	10	201 0.7×	354 2.0×	487 3.2×	191 1.6×	46 0.4×	27	1.2k

Countries citing papers authored by Xin Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Xin Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Zhu. A scholar is included among the top collaborators of Xin Zhu 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 Xin Zhu. Xin Zhu 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

Liu, Shing-Hong, et al.. (2025). Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle. Scientific Reports. 15(1). 12575–12575. 2 indexed citations

Zhu, Xin, et al.. (2025). Chest Compression Skill Evaluation System Using Pose Estimation and Web-Based Application. Applied Sciences. 15(15). 8252–8252.

Zhang, Ruiyao, Yiyang Liu, Xinkai Liu, et al.. (2025). Localization of Capsule Endoscope in Alimentary Tract by Computer-Aided Analysis of Endoscopic Images. Sensors. 25(3). 746–746.

Liu, Xinkai, et al.. (2024). Renal Pathological Image Classification Based on Contrastive and Transfer Learning. Electronics. 13(7). 1403–1403. 3 indexed citations

Liu, Yiyang, et al.. (2024). Bidirectional Copy–Paste Mamba for Enhanced Semi-Supervised Segmentation of Transvaginal Uterine Ultrasound Images. Diagnostics. 14(13). 1423–1423. 2 indexed citations

Imaizumi, Mitsuyoshi, Weihao Weng, Xin Zhu, & Shigeyuki Murono. (2023). Effectiveness of FEES with artificial intelligence-assisted computer-aided diagnosis. Auris Nasus Larynx. 51(2). 251–258. 2 indexed citations

Chen, Zheng, Xue Zhou, Leighton T. Izu, et al.. (2023). A training pipeline of an arrhythmia classifier for atrial fibrillation detection using Photoplethysmography signal. Frontiers in Physiology. 14. 1084837–1084837. 9 indexed citations

Yuan, Suzhen, et al.. (2023). Automated Detection of Endometrial Polyps from Hysteroscopic Videos Using Deep Learning. Diagnostics. 13(8). 1409–1409. 5 indexed citations

Weng, Weihao, Xin Zhu, Mitsuyoshi Imaizumi, & Shigeyuki Murono. (2023). FEES-IS: Real-time Instance Segmentation of Flexible Endoscopic Evaluation of Swallowing. 1–6. 1 indexed citations

10.

Zhu, Xin, et al.. (2023). Deep Learning for Diagnosis of Endometrial Cancer and Atypical Endometrial Hyperplasia. 307–312.

11.

Wang, Jia-Jung, et al.. (2023). Signal Quality Analysis of Single-Arm Electrocardiography. Sensors. 23(13). 5818–5818. 4 indexed citations

12.

Chin, Chiun-Li, Chia-Chun Lin, Jingwen Wang, et al.. (2023). A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing. Sensors. 23(17). 7454–7454. 5 indexed citations

13.

Zhang, Jun, et al.. (2023). Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method. Scientific Reports. 13(1). 19710–19710. 10 indexed citations

14.

Zhou, Qin, Jingjing Jiang, Li Fang, et al.. (2022). Automatic Measurement of Endometrial Thickness From Transvaginal Ultrasound Images. Frontiers in Bioengineering and Biotechnology. 10. 853845–853845. 10 indexed citations

15.

Nemoto, Daiki, Zhe Guo, Ruiyao Zhang, et al.. (2022). Computer-aided diagnosis of serrated colorectal lesions using non-magnified white-light endoscopic images. International Journal of Colorectal Disease. 37(8). 1875–1884. 5 indexed citations

16.

Zhou, Xue, Keijiro Nakamura, Yoshinari Enomoto, et al.. (2022). Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning. Life. 12(6). 776–776. 7 indexed citations

17.

Zhou, Xue, Xin Zhu, Keijiro Nakamura, & Mahito Noro. (2021). Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional Generative Adversarial Networks. Life. 11(10). 1013–1013. 20 indexed citations

18.

Peng, Yong, Xin Zhu, Feiping Nie, Wanzeng Kong, & Yuan Ge. (2021). Fuzzy graph clustering. Information Sciences. 571. 38–49. 36 indexed citations

19.

Zhu, Xin, Daiki Nemoto, Yuki Nakajima, et al.. (2019). Tu2013 IDENTIFICATION OF DEEPLY INVASIVE COLORECTAL CANCER ON NON-MAGNIFIED ENDOSCOPIC IMAGES USING ARTIFICIAL INTELLIGENCE. Gastrointestinal Endoscopy. 89(6). AB657–AB657. 2 indexed citations

20.

Noro, Mahito, Xin Zhu, Yoshinari Enomoto, et al.. (2014). Evaluation of defibrillation safety and shock reduction in implantable cardioverter‐defibrillator patients with increased time to detection: A randomized SANKS study. Journal of Arrhythmia. 31(2). 94–100. 2 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