Kaiming Kuang

471 total citations
13 papers, 217 citations indexed

About

Kaiming Kuang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Kaiming Kuang has authored 13 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Biomedical Engineering. Recurrent topics in Kaiming Kuang's work include Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and COVID-19 diagnosis using AI (3 papers). Kaiming Kuang is often cited by papers focused on Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and COVID-19 diagnosis using AI (3 papers). Kaiming Kuang collaborates with scholars based in China, Switzerland and United States. Kaiming Kuang's co-authors include Jiancheng Yang, Ming Li, Yingli Sun, Liang Jin, Mingyu Tan, Weiling Ma, Pan Gao, Bingbing Ni, Jiajun Chen and Caicong Wu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Neural Networks and Computers and Electronics in Agriculture.

In The Last Decade

Kaiming Kuang

12 papers receiving 213 citations

Peers

Countries citing papers authored by Kaiming Kuang

Since Specialization

Citations

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

Fields of papers citing papers by Kaiming Kuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiming Kuang

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	SimTA++: Simple attention neural network for clinical asynchronous time series 2025 ·Neural Networks ·Zhihao Li, Jingyu Li, Kaiming Kuang, Baoyu Jing, Bo Du, (unknown), Jiancheng Yang	0
2	Trajectory classification to support effective and efficient field-road classification 2024 ·PeerJ Computer Science ·Ying Chen, Kaiming Kuang, Caicong Wu	2
3	RibSeg v2: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction 2023 ·IEEE Transactions on Medical Imaging ·Liang Jin, (unknown), Donglai Wei, (unknown), Kaiming Kuang, Yongjie Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li	7
4	Deep learning predicts malignancy and metastasis of solid pulmonary nodules from CT scans 2023 ·Frontiers in Medicine ·Junhao Mu, Kaiming Kuang, Min Ao, Weiyi Li, (unknown), (unknown), Jingyu Li, Jing Huang, (unknown), Jiancheng Yang, Yang Li	5
5	SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention 2023 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·(unknown), Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang	15
6	Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening 2023 ·Respiratory Research ·Bin Chen, Ziyi Liu, (unknown), (unknown), Kaiming Kuang, Jiancheng Yang, Zengmao Wang, Yingli Sun, Bo Du, Qi Lin, Ming Li	8
7	Three-Dimensional Convolutional Neural Network-Based Prediction of Epidermal Growth Factor Receptor Expression Status in Patients With Non-Small Cell Lung Cancer 2022 ·Frontiers in Oncology ·Xuemei Huang, Yingli Sun, Mingyu Tan, Weiling Ma, Pan Gao, Qi Lin, (unknown), Yuling Yang, Kun Wang, (unknown), Liang Jin, Kaiming Kuang, Shaofeng Duan, Ming Li	18
8	Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies 2022 ·European Radiology ·(unknown), Jingyu Zhang, Weitao Zhuang, Zhen Gao, Kaiming Kuang, Dan Tian, Cheng Deng, Hansheng Wu, Rixin Chen, (unknown), Gang Chen, Paolo Mendogni, Marcello Migliore, Min‐Woong Kang, Ryu Kanzaki, Yong Tang, Jiancheng Yang, Qiuling Shi, Guibin Qiao	10
9	Non-contrast and contrast enhanced computed tomography radiomics in preoperative discrimination of lung invasive and non-invasive adenocarcinoma 2022 ·Frontiers in Medicine ·Yingli Sun, Wei Zhao, Kaiming Kuang, Liang Jin, Pan Gao, Shaofeng Duan, (unknown), Jun Liu, Ming Li	2
10	Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detection 2022 ·Computers and Electronics in Agriculture ·Xiaoqiang Zhang, Ying Chen, (unknown), Kaiming Kuang, Yubin Lan, Caicong Wu	19
11	ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series 2022 ·Cancers ·Wei Zhao, Yingli Sun, Kaiming Kuang, Jiancheng Yang, (unknown), Bingbing Ni, (unknown), Bo Jiang, Jun Liu, Ming Li	3
12	Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics 2021 ·Frontiers in Oncology ·Mingyu Tan, Weiling Ma, Yingli Sun, Pan Gao, Xuemei Huang, (unknown), (unknown), Yue Wu, Liang Jin, Lin Tang, Kaiming Kuang, Ming Li	15
13	Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet 2020 ·EBioMedicine ·Liang Jin, Jiancheng Yang, Kaiming Kuang, Bingbing Ni, (unknown), Yingli Sun, Pan Gao, Weiling Ma, Mingyu Tan, (unknown), Jiajun Chen, Ming Li	113

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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