Hanqing Chao

1.3k total citations · 1 hit paper
15 papers, 675 citations indexed

About

Hanqing Chao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hanqing Chao has authored 15 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hanqing Chao's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Hanqing Chao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Hanqing Chao collaborates with scholars based in United States, China and Italy. Hanqing Chao's co-authors include Jianfeng Feng, Junping Zhang, Yiwei He, Kun Wang, Pingkun Yan, Ge Wang, Mannudeep K. Kalra, Bradford J. Wood, Sheng Xu and Xi Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Hanqing Chao

14 papers receiving 663 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.

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

2019 375 citations Hanqing Chao, Yiwei He et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Hanqing Chao

BE

CVPR

HI

RNMI

EDM

Sasan Mahmoodi United Kingdom

Daoliang Tan China

Mili Shah United States

Tomio Echigo Japan

Constantin Vertan Romania

Maria João M. Vasconcelos Portugal

Tati L. R. Mengko Indonesia

Quoc Cuong Pham France

Enjie Ghorbel Luxembourg

Sasan Mahmoodi United Kingdom

Hanqing Chao

127 ×0.2

BE

212 ×0.5

CVPR

30 ×0.2

HI

24 ×0.2

RNMI

15 ×0.2

EDM

Citations per year, relative to Hanqing Chao Hanqing Chao (= 1×) peers Sasan Mahmoodi

Countries citing papers authored by Hanqing Chao

Since Specialization

Citations

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

Fields of papers citing papers by Hanqing Chao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanqing Chao

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

15 of 15 papers shown

1.

Chao, Hanqing, et al.. (2024). Unbiasing fairness evaluation of radiology AI model. SHILAP Revista de lepidopterología. 2(3). 100084–100084.

2.

Chao, Hanqing, et al.. (2024). Identifying Progression-Specific Alzheimer’s Subtypes Using Multimodal Transformer. Journal of Personalized Medicine. 14(4). 421–421. 4 indexed citations

3.

Zhang, Jiajin, Hanqing Chao, Amit Dhurandhar, et al.. (2023). When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11219–11227. 2 indexed citations

4.

Yan, Pingkun, Ge Wang, Hanqing Chao, & Mannudeep K. Kalra. (2023). Multimodal radiology AI. SHILAP Revista de lepidopterología. 1(2). 100019–100019. 5 indexed citations

5.

Chao, Hanqing, et al.. (2023). Toward Adversarial Robustness in Unlabeled Target Domains. IEEE Transactions on Image Processing. 32. 1272–1284. 3 indexed citations

6.

Chao, Hanqing, et al.. (2023). Revisiting the Trustworthiness of Saliency Methods in Radiology AI. Radiology Artificial Intelligence. 6(1). e220221–e220221. 20 indexed citations

7.

Chao, Hanqing, et al.. (2022). Ultrasound Volume Reconstruction From Freehand Scans Without Tracking. IEEE Transactions on Biomedical Engineering. 70(3). 970–979. 12 indexed citations

8.

Xu, Xuanang, Sheng Xu, Hanqing Chao, et al.. (2022). Ultrasound Frame-to-Volume Registration via Deep Learning for Interventional Guidance. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(9). 1016–1025. 6 indexed citations

9.

Chao, Hanqing, Xuanang Xu, Sheng Xu, et al.. (2022). Cross-modal attention for multi-modal image registration. Medical Image Analysis. 82. 102612–102612. 50 indexed citations

10.

Kim, Mansu, et al.. (2022). Connectome transformer with anatomically inspired attention for Parkinson's diagnosis. 1–4. 3 indexed citations

11.

Chao, Hanqing, Xi Fang, Jiajin Zhang, et al.. (2021). Integrative analysis for COVID-19 patient outcome prediction. UNICA IRIS Institutional Research Information System (University of Cagliari). 46 indexed citations

12.

Fang, Xi, Uwe Krüger, Fatemeh Homayounieh, et al.. (2021). Association of AI quantified COVID-19 chest CT and patient outcome. International Journal of Computer Assisted Radiology and Surgery. 16(3). 435–445. 24 indexed citations

13.

Chao, Hanqing, Kun Wang, Yiwei He, Junping Zhang, & Jianfeng Feng. (2021). GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(7). 1–1. 122 indexed citations

14.

Liu, Yiqun, Hanqing Chao, Lei Chen, et al.. (2021). Robust Precipitation Bias Correction Through an Ordinal Distribution Autoencoder. IEEE Intelligent Systems. 37(1). 60–70. 3 indexed citations

15.

Chao, Hanqing, Yiwei He, Junping Zhang, & Jianfeng Feng. (2019). GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8126–8133. 375 indexed citations breakdown →

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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