Jiequan Cui

41 total papers · 672 total citations
8 papers, 341 citations indexed

About

Jiequan Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jiequan Cui has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jiequan Cui's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Handwritten Text Recognition Techniques (1 paper). Jiequan Cui is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Handwritten Text Recognition Techniques (1 paper). Jiequan Cui collaborates with scholars based in Hong Kong, United States and China. Jiequan Cui's co-authors include Jiaya Jia, Shu Liu, Zhisheng Zhong, Zhuotao Tian, Pengguang Chen, Xiaoyong Shen, Ruiyu Li, Bei Yu, Xiaojuan Qi and Yibo Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The HKU Scholars Hub (University of Hong Kong) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Jiequan Cui

8 papers receiving 338 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jiequan Cui	244	170	48	21	17	8	341
Marco Toldo	247 1.0×	232 1.4×	65 1.4×	17 0.8×	10 0.6×	12	365
Fabio Cermelli	234 1.0×	220 1.3×	51 1.1×	22 1.0×	9 0.5×	14	316
Yuang Liu	226 0.9×	238 1.4×	50 1.0×	16 0.8×	6 0.4×	8	348
Ravi Krishna	204 0.8×	144 0.8×	30 0.6×	21 1.0×	10 0.6×	6	322
Zongyan Han	250 1.0×	171 1.0×	74 1.5×	16 0.8×	20 1.2×	13	369
Yabin Zhang	304 1.2×	249 1.5×	52 1.1×	25 1.2×	6 0.4×	10	370
Timur Garipov	258 1.1×	179 1.1×	23 0.5×	17 0.8×	16 0.9×	9	389
Jihwan Jeong	273 1.1×	160 0.9×	34 0.7×	12 0.6×	10 0.6×	8	347
Kaizhu Huang	186 0.8×	209 1.2×	25 0.5×	15 0.7×	7 0.4×	12	306
Qi Cai	188 0.8×	311 1.8×	39 0.8×	15 0.7×	7 0.4×	16	374

Countries citing papers authored by Jiequan Cui

Since Specialization

Citations

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

Fields of papers citing papers by Jiequan Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiequan Cui

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

All Works

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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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