Jinqing Qi

3.1k total citations · 2 hit papers
27 papers, 983 citations indexed

About

Jinqing Qi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jinqing Qi has authored 27 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Jinqing Qi's work include Visual Attention and Saliency Detection (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Advanced Neural Network Applications (6 papers). Jinqing Qi is often cited by papers focused on Visual Attention and Saliency Detection (14 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Advanced Neural Network Applications (6 papers). Jinqing Qi collaborates with scholars based in China, Australia and Netherlands. Jinqing Qi's co-authors include Huchuan Lu, Xiaoning Zhang, Tiantian Wang, Gang Wang, Lihe Zhang, Xiang Ruan, Fang Huang, Guowen Zhang, Pingping Zhang and Tiantian Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Jinqing Qi

27 papers receiving 965 citations

Hit Papers

Progressive Attention Guided Recurrent Network for Salien... 2018 2026 2020 2023 2018 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinqing Qi China 12 891 178 120 119 73 27 983
Youwei Pang China 7 961 1.1× 137 0.8× 174 1.4× 107 0.9× 57 0.8× 15 1.1k
Huchuan Lu China 17 1.1k 1.2× 106 0.6× 239 2.0× 188 1.6× 68 0.9× 27 1.2k
Xiangjing An China 14 735 0.8× 84 0.5× 116 1.0× 150 1.3× 44 0.6× 54 946
Zhao Shuyang China 7 587 0.7× 119 0.7× 63 0.5× 50 0.4× 75 1.0× 11 737
Eleonora Vig Germany 13 984 1.1× 159 0.9× 115 1.0× 112 0.9× 149 2.0× 24 1.2k
Mengyang Feng China 10 1.6k 1.8× 445 2.5× 188 1.6× 225 1.9× 99 1.4× 13 1.7k
Justin A. Eichel Canada 5 538 0.6× 138 0.8× 88 0.7× 52 0.4× 49 0.7× 10 608
Nianchang Huang China 14 893 1.0× 76 0.4× 156 1.3× 43 0.4× 44 0.6× 20 986
Huajun Zhou China 9 521 0.6× 87 0.5× 90 0.8× 57 0.5× 48 0.7× 19 614
Yongri Piao China 20 1.7k 1.9× 332 1.9× 321 2.7× 188 1.6× 65 0.9× 29 1.8k

Countries citing papers authored by Jinqing Qi

Since Specialization
Citations

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

Fields of papers citing papers by Jinqing Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinqing Qi

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

All Works

20 of 20 papers shown
2.
Zhuge, Yunzhi, et al.. (2024). Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9084–9097. 3 indexed citations
3.
Yan, Bin, et al.. (2024). Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 6504–6512. 46 indexed citations breakdown →
4.
Wang, Xiaoqian, et al.. (2023). Pulmonary Segments Segmentation with Hierarchical Weak Labels. 1–5. 1 indexed citations
5.
Zhuge, Yunzhi, et al.. (2023). Few-shot Semantic Segmentation by Exploiting Dynamic and Regional Contexts. 29. 834–839. 1 indexed citations
6.
Li, Ruoqi, Lijun Wang, Yifan Wang, et al.. (2022). You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1297–1305. 27 indexed citations
7.
Qian, Mingyang, et al.. (2022). Road extraction from satellite images with iterative cross-task feature enhancement. Neurocomputing. 506. 300–310. 8 indexed citations
8.
Teng, Yang, Yue Wang, Lu Zhang, Jinqing Qi, & Huchuan Lu. (2022). Depth-inspired Label Mining for Unsupervised RGB-D Salient Object Detection. Proceedings of the 30th ACM International Conference on Multimedia. 5669–5677. 10 indexed citations
9.
Zhang, Hongshuang, Yu Zeng, Huchuan Lu, et al.. (2021). Learning to Detect Salient Object with Multi-source Weak Supervision. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(7). 1–1. 17 indexed citations
10.
Zhang, Guowen, Pingping Zhang, Jinqing Qi, & Huchuan Lu. (2021). HAT: Hierarchical Aggregation Transformers for Person Re-identification. 516–525. 101 indexed citations
11.
Zhang, Yunhua, Lijun Wang, Dong Wang, Jinqing Qi, & Huchuan Lu. (2021). Learning Regression and Verification Networks for Robust Long-term Tracking. International Journal of Computer Vision. 129(9). 2536–2547. 15 indexed citations
12.
Zhang, Xiaoning, Tiantian Wang, Jinqing Qi, Huchuan Lu, & Gang Wang. (2018). Progressive Attention Guided Recurrent Network for Salient Object Detection. 714–722. 481 indexed citations breakdown →
13.
Wang, Tiantian, et al.. (2018). Edge-Aware Convolution Neural Network Based Salient Object Detection. IEEE Signal Processing Letters. 26(1). 114–118. 45 indexed citations
14.
Qi, Jinqing, et al.. (2016). Saliency detection via joint modeling global shape and local consistency. Neurocomputing. 222. 81–90. 11 indexed citations
15.
Lu, Huchuan, Xiaoning Zhang, Jinqing Qi, et al.. (2016). Co-Bootstrapping Saliency. IEEE Transactions on Image Processing. 26(1). 414–425. 19 indexed citations
16.
Cong, J., Jinqing Qi, Xiaohui Li, & Huchuan Lu. (2015). Saliency detection via a unified generative and discriminative model. Neurocomputing. 173. 406–417. 16 indexed citations
17.
Zhao, Lin, Jinqing Qi, Jing Wang, & Pengjun Yao. (2012). The study of using an extreme learning machine for rapid concentration estimation in multi-component gas mixtures. Measurement Science and Technology. 23(8). 85101–85101. 5 indexed citations
18.
Qi, Jinqing, et al.. (2011). A steering kernel based nonlocal-means method for image denoising. 123–127. 3 indexed citations
19.
Qi, Jinqing, et al.. (2010). A new hierarchical genetic algorithm for low-power network on chip design. 13. 159–162. 2 indexed citations
20.
Qi, Jinqing. (2004). Binary Line-Pattern Algorithm for Embedded Fingerprint Authentication System. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 87(8). 1879–1886. 4 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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