Chaoqi Chen

1.7k total citations · 1 hit paper
29 papers, 1.0k citations indexed

About

Chaoqi Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chaoqi Chen has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chaoqi Chen's work include Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (8 papers) and AI in cancer detection (4 papers). Chaoqi Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Multimodal Machine Learning Applications (8 papers) and AI in cancer detection (4 papers). Chaoqi Chen collaborates with scholars based in China, Hong Kong and United States. Chaoqi Chen's co-authors include Xinghao Ding, Yue Huang, Yizhou Yu, Qi Dou, Weiping Xie, Yu Rong, Wenbing Huang, Junzhou Huang, Tingyang Xu and Jiongcheng Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Food Chemistry and IEEE Transactions on Medical Imaging.

In The Last Decade

Chaoqi Chen

25 papers receiving 1.0k 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.

Progressive Feature Alignment for Unsupervised Domain Adaptation

2019 299 citations Chaoqi Chen, Xinghao Ding et al. profile →

Peers

Countries citing papers authored by Chaoqi Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chaoqi Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoqi Chen

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Integrating multiple omics analyses to elucidate the macrophage-driven “immune cellular senescence fibrosis” axis mechanism in intervertebral disc degeneration 2026 ·International Journal of Surgery ·(unknown), (unknown), Chaoqi Chen, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
2	Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure 2025 ·Hereditas ·Jing Yan, (unknown), Chaoqi Chen, Lijian Liu, Jinjing Tan, Juan Li, Liqun Li, (unknown)	0
3	Out-of-Distribution Detection with Prototypical Outlier Proxy 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Ming Gong, Chaoqi Chen, Qingsong Sun, Yue Wang, (unknown)	1
4	Single-View Graph Contrastive Learning with Soft Neighborhood Awareness 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin Zheng, Kai Wang	1
5	Multi‐domain pseudo‐reference quality evaluation for infrared and visible image fusion 2024 ·IET Image Processing ·Xiangchao Meng, Chaoqi Chen, (unknown), (unknown)	0
6	Filling and Disentanglement: Toward Low- and High-Order Parallel Single-Domain Generalization for SAR Ship Detection 2024 ·IEEE Transactions on Aerospace and Electronic Systems ·(unknown), Luyao Tang, (unknown), Chuyang Lin, Chaoqi Chen, Yue Huang, Xinghao Ding	2
7	A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Chaoqi Chen, Yushuang Wu, (unknown), Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu	43
8	Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity 2024 ·Chaoqi Chen, Hui Huang, Luyao Tang	0
9	Integrated navigation algorithm for deep-sea AUV based on M-estimation and heavy-tailed noise 2023 ·Applied Ocean Research ·(unknown), Cheng Ma, Chaoqi Chen, (unknown), (unknown), (unknown), Tao Wang, Jianming Miao, (unknown), Xi Gong, (unknown)	4
10	Towards Higher-order Topological Consistency for Unsupervised Network Alignment 2023 ·Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen	5
11	A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Hong-Yu Zhou, (unknown), Chaoqi Chen, Sibei Yang, Yizhou Yu	35
12	Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection 2022 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu	29
13	Compound Domain Generalization via Meta-Knowledge Encoding 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu	42
14	GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection 2022 ·IEEE Transactions on Medical Imaging ·Chaoqi Chen, Jiexiang Wang, Junwen Pan, Cheng Bian, Zhicheng Zhang	5
15	Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection 2021 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yuhang Liu, Fandong Zhang, Chaoqi Chen, (unknown), Yizhou Wang, Yizhou Yu	23
16	I³Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors 2021 ·Chaoqi Chen, (unknown), Yue Huang, Xinghao Ding, Yizhou Yu	54
17	Harmonizing Transferability and Discriminability for Adapting Object Detectors 2020 ·Chaoqi Chen, (unknown), Xinghao Ding, Yue Huang, Qi Dou	240
18	Inhibitory Effects of Fatty Acids on the Activity of Mushroom Tyrosinase 2010 ·Applied Biochemistry and Biotechnology ·(unknown), (unknown), Chaoqi Chen, Yonghua Hu, Fengjiao Liu, Yan Shi, Jianghua Yan, Qing‐Xi Chen	19
19	Inactivation Kinetics of Polyphenol Oxidase from Pupae of Blowfly (Sarcophaga bullata) in the Dimethyl Sulfoxide Solution 2009 ·Applied Biochemistry and Biotechnology ·Chaoqi Chen, (unknown), (unknown), Yujing Zhu, Ruorong Yan, (unknown), Jianghua Yan, Qing‐Xi Chen	2
20	Inhibitory effects of 4-chlorosalicylic acid on mushroom tyrosinase and its antimicrobial activities 2007 ·Food Chemistry ·Peng Han, Chaoqi Chen, Chunle Zhang, Kangkang Song, Hantao Zhou, Qing‐Xi Chen	35

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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