Kaiqi Dong

749 total citations
6 papers, 29 citations indexed

About

Kaiqi Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Kaiqi Dong has authored 6 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Oncology. Recurrent topics in Kaiqi Dong's work include AI in cancer detection (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Advanced Neural Network Applications (3 papers). Kaiqi Dong is often cited by papers focused on AI in cancer detection (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Advanced Neural Network Applications (3 papers). Kaiqi Dong collaborates with scholars based in China. Kaiqi Dong's co-authors include Peijun Hu, Jingsong Li, Tingbo Liang, Xueli Bai, Wei Yang, Zhenbo Xu, Liusheng Huang, Xiang Li, Tianshu Zhou and Yan Zhu and has published in prestigious journals such as Medical Physics, Neurocomputing and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Kaiqi Dong

5 papers receiving 29 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaiqi Dong China	4	21	14	10	5	4	6	29
Rashindrie Perera Australia	4	20 1.0×	5 0.4×	11 1.1×	2 0.4×	3 0.8×	6	37
Dongang Wang Australia	5	21 1.0×	13 0.9×	10 1.0×	3 0.6×		8	48
Alan Karthikesalingam United Kingdom	3	32 1.5×	9 0.6×	20 2.0×	5 1.0×	5 1.3×	5	70
Jayashree Kalpathy-Cramer United States	4	15 0.7×	10 0.7×	15 1.5×	3 0.6×	1 0.3×	10	41
Sen Zha China	2	15 0.7×	29 2.1×	8 0.8×	2 0.4×		2	44
Y. C. Zhu China	2	21 1.0×	13 0.9×	3 0.3×	1 0.2×	3 0.8×	5	36
Mahendra Khened India	3	6 0.3×	11 0.8×	12 1.2×	2 0.4×		3	30
Pauline Luc United Kingdom	2	19 0.9×	16 1.1×	4 0.4×	2 0.4×		2	39
Moritz Knolle Germany	2	13 0.6×	7 0.5×	9 0.9×	1 0.2×		3	18
Imane Nedjar Algeria	4	9 0.4×	8 0.6×	8 0.8×		1 0.3×	8	33

Countries citing papers authored by Kaiqi Dong

Since Specialization

Citations

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

Fields of papers citing papers by Kaiqi Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiqi Dong

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

6 of 6 papers shown

1.

Dong, Kaiqi, Yu Tian, Peijun Hu, et al.. (2025). A Knowledge-Driven Evidence Fusion Network for pancreatic tumor segmentation in CT images. Biomedical Signal Processing and Control. 111. 108281–108281.

2.

Dong, Kaiqi, Peijun Hu, Yu Tian, et al.. (2024). Position-aware representation learning with anatomical priors for enhanced pancreas tumor segmentation. Neurocomputing. 616. 128881–128881. 4 indexed citations

3.

Dong, Kaiqi, Peijun Hu, Yan Zhu, et al.. (2024). Attention‐enhanced multiscale feature fusion network for pancreas and tumor segmentation. Medical Physics. 51(12). 8999–9016. 6 indexed citations

4.

Dong, Kaiqi, Peijun Hu, Xiang Li, et al.. (2024). Position Prior Attention Network for Pancreas Tumor Segmentation. Studies in health technology and informatics. 310. 951–955. 1 indexed citations

5.

Hu, Peijun, Xiang Li, Na Lu, et al.. (2023). Prediction of New-Onset Diabetes After Pancreatectomy With Subspace Clustering Based Multi-View Feature Selection. IEEE Journal of Biomedical and Health Informatics. 27(3). 1588–1599. 9 indexed citations

6.

Dong, Kaiqi, et al.. (2021). ABPNet: Adaptive Background Modeling for Generalized Few Shot Segmentation. 2271–2280. 9 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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