Xindi Hu

630 total citations · 1 hit paper
12 papers, 267 citations indexed

About

Xindi Hu is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xindi Hu has authored 12 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xindi Hu's work include Fetal and Pediatric Neurological Disorders (4 papers), AI in cancer detection (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Xindi Hu is often cited by papers focused on Fetal and Pediatric Neurological Disorders (4 papers), AI in cancer detection (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Xindi Hu collaborates with scholars based in China, United Kingdom and Macao. Xindi Hu's co-authors include Xin Yang, Dong Ni, Yuhao Huang, Chaoyu Chen, Lian Liu, Kejuan Yue, Junxuan Yu, Deng-Ping Fan, Rusi Chen and Sijing Liu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Medical Image Analysis and Ultrasound in Medicine & Biology.

In The Last Decade

Xindi Hu

10 papers receiving 264 citations

Hit 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.

Segment anything model for medical images?

2023 215 citations Yuhao Huang, Xin Yang et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xindi Hu China	5	114	97	83	44	30	12	267
Chaoyu Chen China	8	146 1.3×	98 1.0×	118 1.4×	37 0.8×	17 0.6×	18	336
Junxuan Yu China	3	107 0.9×	80 0.8×	75 0.9×	30 0.7×	14 0.5×	4	224
Dongmei Zhu China	6	82 0.7×	98 1.0×	76 0.9×	42 1.0×	12 0.4×	11	272
Yeşim Eroğlu Türkiye	9	66 0.6×	131 1.4×	126 1.5×	31 0.7×	33 1.1×	23	343
Le Ding China	6	101 0.9×	93 1.0×	68 0.8×	50 1.1×	11 0.4×	19	258
Andrea Guerriero Italy	10	81 0.7×	81 0.8×	75 0.9×	41 0.9×	27 0.9×	28	268
Xinrui Zhou China	4	108 0.9×	77 0.8×	73 0.9×	30 0.7×	20 0.7×	6	235
Bishesh Khanal United Kingdom	8	68 0.6×	71 0.7×	69 0.8×	65 1.5×	24 0.8×	25	248
Ruobing Huang China	10	88 0.8×	162 1.7×	167 2.0×	33 0.8×	21 0.7×	29	316
Kejuan Yue China	7	203 1.8×	241 2.5×	87 1.0×	38 0.9×	13 0.4×	17	400

Countries citing papers authored by Xindi Hu

Since Specialization

Citations

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

Fields of papers citing papers by Xindi Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xindi Hu

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

12 of 12 papers shown

1.

Cao, Xiaoyan, Yan Cao, Xin Yang, et al.. (2025). Effectiveness and clinical impact of using deep learning for first-trimester fetal ultrasound image quality auditing. BMC Pregnancy and Childbirth. 25(1). 375–375.

2.

Liu, Jia, Xinrui Zhou, Hui Lin, et al.. (2025). Human‒machine interaction based on real-time explainable deep learning for higher accurate grading of carotid stenosis from transverse B-mode scan videos. European Journal of Radiology. 193. 112441–112441. 1 indexed citations

3.

Zhang, Yuanji, Xin Yang, Xindi Hu, et al.. (2025). Deep Learning Model for Real-Time Nuchal Translucency Assessment at Prenatal US. Radiology Artificial Intelligence. 7(4). e240498–e240498. 1 indexed citations

4.

Yang, Xin, Yan Cao, Yuanji Zhang, et al.. (2025). MoNetV2: Enhanced Motion Network for Freehand 3-D Ultrasound Reconstruction. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 19145–19159.

5.

Yang, Xin, Lian Liu, Junxuan Yu, et al.. (2024). Hierarchical online contrastive anomaly detection for fetal arrhythmia diagnosis in ultrasound. Medical Image Analysis. 97. 103229–103229. 4 indexed citations

6.

Hu, Xindi, et al.. (2024). UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation. 3501–3504. 1 indexed citations

7.

Yang, Xin, Hong‐Zhang Wang, Haoran Dou, et al.. (2023). RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. Medical Image Analysis. 87. 102810–102810. 15 indexed citations

8.

Wang, Hongzhang, Jun Cheng, Xin Yang, et al.. (2023). Locating Multiple Standard Planes in First-Trimester Ultrasound Videos via the Detection and Scoring of Key Anatomical Structures. Ultrasound in Medicine & Biology. 49(9). 2006–2016. 11 indexed citations

9.

Yang, Xin, Haoran Dou, Yuhao Huang, et al.. (2023). Test-time bi-directional adaptation between image and model for robust segmentation. Computer Methods and Programs in Biomedicine. 233. 107477–107477. 1 indexed citations

10.

Huang, Yuhao, Xin Yang, Lian Liu, et al.. (2023). Segment anything model for medical images?. Medical Image Analysis. 92. 103061–103061. 215 indexed citations breakdown →

11.

Chen, Chaoyu, Xin Yang, Yuhao Huang, et al.. (2023). FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound. Medical Image Analysis. 91. 103013–103013. 3 indexed citations

12.

Hu, Xindi, Limin Wang, Xin Yang, et al.. (2021). Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip. IEEE Journal of Biomedical and Health Informatics. 26(1). 345–358. 15 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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