Jiayan Qiu

426 total citations
11 papers, 216 citations indexed

About

Jiayan Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jiayan Qiu has authored 11 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Jiayan Qiu's work include Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Video Surveillance and Tracking Methods (2 papers). Jiayan Qiu is often cited by papers focused on Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Video Surveillance and Tracking Methods (2 papers). Jiayan Qiu collaborates with scholars based in Australia, China and United States. Jiayan Qiu's co-authors include Dacheng Tao, Xinchao Wang, Yiding Yang, Mingli Song, Chao Xu, Chang Xu, Yunhe Wang, Stephen J. Maybank, Pascal Fua and Jiyang Xie and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Consumer Electronics and Chalmers Research (Chalmers University of Technology).

In The Last Decade

Jiayan Qiu

10 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jiayan Qiu Australia	5	147	135	14	11	10	11	216
Lingyun Song China	10	120 0.8×	159 1.2×	28 2.0×	9 0.8×	16 1.6×	25	257
Huangjie Zheng China	7	78 0.5×	90 0.7×	24 1.7×	12 1.1×	10 1.0×	11	177
Thalaiyasingam Ajanthan Australia	7	239 1.6×	226 1.7×	9 0.6×	15 1.4×	9 0.9×	19	333
Chuanjian Liu China	7	199 1.4×	211 1.6×	7 0.5×	9 0.8×	11 1.1×	15	308
Bassoma Diallo China	8	196 1.3×	168 1.2×	11 0.8×	35 3.2×	28 2.8×	12	300
Shide Du China	11	219 1.5×	231 1.7×	14 1.0×	33 3.0×	14 1.4×	28	345
Jiajun Liu China	7	165 1.1×	81 0.6×	11 0.8×	8 0.7×	20 2.0×	19	243
Juhua Hu United States	9	249 1.7×	246 1.8×	10 0.7×	15 1.4×	27 2.7×	27	390
Ryan G. Gomes United States	4	117 0.8×	163 1.2×	7 0.5×	12 1.1×	20 2.0×	4	230
Bei Li China	10	137 0.9×	136 1.0×	18 1.3×	18 1.6×	9 0.9×	29	264

Countries citing papers authored by Jiayan Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Jiayan Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiayan Qiu

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

11 of 11 papers shown

1.

Xu, Lixin, Ruiheng Zhang, Jin Zhang, et al.. (2025). ADP: Graph Adaptive Pooling Based on Edge Understanding With Graph Pooling Information Bottleneck. IEEE Transactions on Consumer Electronics. 72(1). 692–704.

2.

Yu, Hang, et al.. (2024). Shadow-Enlightened Image Outpainting. 7850–7860. 2 indexed citations

3.

Xie, Jiyang, et al.. (2021). Part Uncertainty Estimation Convolutional Neural Network For Person Re-Identification. 2304–2308. 3 indexed citations

4.

Qiu, Jiayan, Yiding Yang, Xinchao Wang, & Dacheng Tao. (2021). Scene Essence. 8318–8329. 16 indexed citations

5.

Yang, Yiding, Jiayan Qiu, Mingli Song, Dacheng Tao, & Xinchao Wang. (2020). Distilling Knowledge From Graph Convolutional Networks. 7072–7081. 144 indexed citations

6.

Qiu, Jiayan, Xinchao Wang, Pascal Fua, & Dacheng Tao. (2019). Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(2). 745–752. 6 indexed citations

7.

Qiu, Jiayan, Xinchao Wang, Stephen J. Maybank, & Dacheng Tao. (2019). World From Blur. 8485–8496. 13 indexed citations

8.

Wang, Yunhe, Chang Xu, Jiayan Qiu, Chao Xu, & Dacheng Tao. (2018). Towards Evolutionary Compression. 2476–2485. 28 indexed citations

9.

Li, Jia, Qiang Wang, Jiayan Qiu, & Cong Dong. (2015). Robust recovery of wideband block-sparse spectrum based on MAP and MMSE estimator. 2010. 1783–1788. 1 indexed citations

10.

Qiu, Jiayan, Yuchao Dai, Yuhang Zhang, & José M. Alvarez. (2015). Hierarchical Aggregation Based Deep Aging Feature for Age Prediction. Chalmers Research (Chalmers University of Technology). 15. 1–5. 2 indexed citations

11.

Qiu, Jiayan. (2006). Prediction of the caloric value of the coal by artificial neural network. 1 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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