Qiuye Jin

479 total citations
12 papers, 290 citations indexed

About

Qiuye Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qiuye Jin has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qiuye Jin's work include Machine Learning and Algorithms (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and COVID-19 diagnosis using AI (3 papers). Qiuye Jin is often cited by papers focused on Machine Learning and Algorithms (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and COVID-19 diagnosis using AI (3 papers). Qiuye Jin collaborates with scholars based in China, United States and Saudi Arabia. Qiuye Jin's co-authors include Manning Wang, Zhijian Song, Wei Wang, Scott B. Rothbart, Zhijian Song, Ruggero Spadafora, David Aristizábal-Corrales, Eric Lieberman Greer, Yang Shi and Mónica P. Colaiácovo and has published in prestigious journals such as NeuroImage, Cell Reports and Information Sciences.

In The Last Decade

Qiuye Jin

10 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiuye Jin China 7 104 83 72 38 31 12 290
Hongyu Chen China 9 100 1.0× 37 0.4× 6 0.1× 18 0.5× 29 0.9× 30 330
Peter Olofsson United States 10 111 1.1× 26 0.3× 39 0.5× 7 0.2× 3 0.1× 31 344
Nai‐Wen Chang Taiwan 10 151 1.5× 94 1.1× 6 0.1× 32 0.8× 9 0.3× 18 326
Afnizanfaizal Abdullah Malaysia 11 80 0.8× 85 1.0× 63 1.7× 23 0.7× 39 292
Evgenii Vityaev Russia 9 77 0.7× 124 1.5× 10 0.1× 14 0.4× 5 0.2× 49 288
Jingming Liu China 10 144 1.4× 127 1.5× 2 0.0× 26 0.7× 27 0.9× 33 434
Hyunjin Kim South Korea 12 121 1.2× 90 1.1× 2 0.0× 25 0.7× 34 1.1× 24 338
Shriniket Dixit India 7 66 0.6× 55 0.7× 3 0.0× 10 0.3× 41 1.3× 11 242

Countries citing papers authored by Qiuye Jin

Since Specialization
Citations

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

Fields of papers citing papers by Qiuye Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuye Jin

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

All Works

12 of 12 papers shown
1.
Jin, Qiuye, Xiaofei Du, Liu Wang, et al.. (2025). MDAL: Modality-difference-based active learning for multimodal medical image analysis via contrastive learning and pointwise mutual information. Computerized Medical Imaging and Graphics. 123. 102544–102544.
2.
Qu, Linhao, et al.. (2024). Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework. Biomedical Signal Processing and Control. 96. 106493–106493. 2 indexed citations
3.
Jin, Qiuye, et al.. (2024). A comprehensive survey on deep active learning in medical image analysis. Medical Image Analysis. 95. 103201–103201. 35 indexed citations
4.
Hao, Zezhou, et al.. (2024). Brain age prediction via cross-stratified ensemble learning. NeuroImage. 299. 120825–120825. 3 indexed citations
5.
Jin, Qiuye, et al.. (2023). Density-based one-shot active learning for image segmentation. Engineering Applications of Artificial Intelligence. 126. 106805–106805. 3 indexed citations
6.
Jin, Qiuye, et al.. (2022). Deep active learning models for imbalanced image classification. Knowledge-Based Systems. 257. 109817–109817. 34 indexed citations
7.
Jin, Qiuye, et al.. (2022). One-shot active learning for image segmentation via contrastive learning and diversity-based sampling. Knowledge-Based Systems. 241. 108278–108278. 28 indexed citations
8.
Jin, Qiuye, et al.. (2022). Cold-start active learning for image classification. Information Sciences. 616. 16–36. 18 indexed citations
9.
Jin, Qiuye, et al.. (2018). Snowtrail. 1–6. 16 indexed citations
10.
Wang, Xin & Qiuye Jin. (2018). Arcadia: A Contemporary Chinese Garden Experiment. Architectural Design. 88(6). 24–31.
11.
Greer, Eric Lieberman, Sara E. Beese‐Sims, Emily Brookes, et al.. (2014). A Histone Methylation Network Regulates Transgenerational Epigenetic Memory in C. elegans. Cell Reports. 7(1). 113–126. 129 indexed citations
12.
Zhang, Ke, Qiuye Jin, Konstantinos Pelechrinis, & Theodoros Lappas. (2013). On the importance of temporal dynamics in modeling urban activity. 1–8. 22 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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