Qinfeng Shi

10.4k total citations · 3 hit papers
124 papers, 5.4k citations indexed

About

Qinfeng Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Qinfeng Shi has authored 124 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 18 papers in Computational Mechanics. Recurrent topics in Qinfeng Shi's work include Advanced Image Processing Techniques (18 papers), Sparse and Compressive Sensing Techniques (16 papers) and Domain Adaptation and Few-Shot Learning (13 papers). Qinfeng Shi is often cited by papers focused on Advanced Image Processing Techniques (18 papers), Sparse and Compressive Sensing Techniques (16 papers) and Domain Adaptation and Few-Shot Learning (13 papers). Qinfeng Shi collaborates with scholars based in Australia, China and United States. Qinfeng Shi's co-authors include Anton van den Hengel, Chunhua Shen, Julian McAuley, Yanning Zhang, Dong Gong, Qingsen Yan, Guosheng Lin, Hanxi Li, Ian Reid and Zhen Zhang and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Qinfeng Shi

121 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Image-Based Recommendations on Styles and Substitutes

2015 1.3k citations Qinfeng Shi, Anton van den Hengel et al. Adelaide Research & Scholarship (AR&S) (University of Adelaide) profile →
Fast Supervised Hashing with Decision Trees for High-Dimensional Data

2014 308 citations Guosheng Lin, Chunhua Shen et al. profile →
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations

2024 101 citations Qinfeng Shi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qinfeng Shi Australia	35	3.4k	1.9k	825	544	370	124	5.4k
Yong Xu China	34	3.5k 1.0×	1.3k 0.7×	827 1.0×	743 1.4×	188 0.5×	156	5.4k
Naiyan Wang China	32	4.1k 1.2×	1.7k 0.9×	927 1.1×	345 0.6×	306 0.8×	62	6.1k
Yang Wang China	36	3.4k 1.0×	1.7k 0.9×	457 0.6×	531 1.0×	242 0.7×	193	5.2k
Ge Li China	31	2.7k 0.8×	1.7k 0.9×	630 0.8×	412 0.8×	415 1.1×	257	5.1k
Quanming Yao China	26	1.5k 0.4×	2.5k 1.3×	624 0.8×	431 0.8×	333 0.9×	88	4.3k
Jianping Fan China	38	3.6k 1.1×	2.0k 1.0×	426 0.5×	602 1.1×	170 0.5×	275	5.5k
Jing Liu China	29	1.8k 0.5×	1.1k 0.6×	555 0.7×	469 0.9×	139 0.4×	334	4.1k
Guo-Jun Qi United States	52	5.3k 1.6×	3.6k 1.9×	452 0.5×	556 1.0×	255 0.7×	215	8.7k
Xueming Qian China	35	2.7k 0.8×	1.4k 0.7×	1.3k 1.5×	561 1.0×	134 0.4×	220	4.7k
Xiaonan Luo China	33	2.0k 0.6×	1.1k 0.6×	279 0.3×	493 0.9×	387 1.0×	344	4.5k

Countries citing papers authored by Qinfeng Shi

Since Specialization

Citations

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

Fields of papers citing papers by Qinfeng Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinfeng Shi

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

20 of 20 papers shown

Jin, Song, Xinyu Li, Guangze Yang, et al.. (2025). Active Learning-Based Prediction of Drug Combination Efficacy. ACS Nano. 19(18). 17929–17940. 3 indexed citations

Mohammadi, Bahram, Yicong Hong, Yuankai Qi, et al.. (2024). Augmented Commonsense Knowledge for Remote Object Grounding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4269–4277. 9 indexed citations

Zhang, Zhen, Alfonso Chinnici, Zhiwei Sun, et al.. (2024). Physics-informed data-driven unsteady Reynolds-averaged Navier–Stokes turbulence modeling for particle-laden jet flows. Physics of Fluids. 36(5). 1 indexed citations

Jin, Song, Guangze Yang, Xinyu Li, et al.. (2024). Computationally guided design and synthesis of dual‐drug loaded polymeric nanoparticles for combination therapy. SHILAP Revista de lepidopterología. 5(5). 9 indexed citations

Qi, Yuankai, et al.. (2023). A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. 323–330. 2 indexed citations

Liu, Lingqiao, et al.. (2022). Computationally Efficient Dilated Convolutional Model for Melody Extraction. IEEE Signal Processing Letters. 29. 1599–1603. 2 indexed citations

Wu, Qi, et al.. (2021). Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 10 indexed citations

Yan, Qingsen, Lei Zhang, Yu Liu, et al.. (2020). Deep HDR Imaging via A Non-Local Network. IEEE Transactions on Image Processing. 29. 4308–4322. 144 indexed citations

Yao, Rui, et al.. (2019). Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference. IEEE Transactions on Image Processing. 29. 277–288. 9 indexed citations

10.

Liu, Wenhe, Dong Gong, Mingkui Tan, et al.. (2019). Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Transactions on Knowledge and Data Engineering. 32(7). 1393–1404. 6 indexed citations

11.

Guo, Yong, Qi Chen, Jian Chen, et al.. (2019). Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Transactions on Multimedia. 21(11). 2726–2737. 56 indexed citations

12.

Zhang, Lei, Wei Wei, Qinfeng Shi, et al.. (2019). Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Transactions on Neural Networks and Learning Systems. 31(10). 4170–4184. 16 indexed citations

13.

Yao, Rui, Guosheng Lin, Qinfeng Shi, & Damith C. Ranasinghe. (2018). Efficient dense labelling of human activity sequences from wearables using fully convolutional networks. Pattern Recognition. 78. 252–266. 76 indexed citations

14.

Yan, Yan, Mingkui Tan, Ivor W. Tsang, et al.. (2018). Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Transactions on Knowledge and Data Engineering. 32(2). 288–301. 4 indexed citations

15.

Zhang, Lei, Wei Wei, Yanning Zhang, et al.. (2018). Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. International Journal of Computer Vision. 126(8). 797–821. 63 indexed citations

16.

Yao, Rui, Guosheng Lin, Chunhua Shen, Yanning Zhang, & Qinfeng Shi. (2018). Semantics-Aware Visual Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 29(6). 1687–1700. 33 indexed citations

17.

Shi, Qinfeng, et al.. (2017). A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older people. Pervasive and Mobile Computing. 40. 1–16. 9 indexed citations

18.

Zhang, Lei, Wei Wei, Yanning Zhang, et al.. (2016). Dictionary Learning for Promoting Structured Sparsity in Hyperspectral Compressive Sensing. IEEE Transactions on Geoscience and Remote Sensing. 54(12). 7223–7235. 40 indexed citations

19.

Yao, Rui, Qinfeng Shi, Chunhua Shen, Yanning Zhang, & Anton van den Hengel. (2012). Robust Tracking with Weighted Online Structured Learning. Lecture notes in computer science. 158–172. 1 indexed citations

20.

Shi, Qinfeng, Yasemin Altün, Alex Smola, & S. V. N. Vishwanathan. (2007). Semi-Markov Models for Sequence Segmentation. Empirical Methods in Natural Language Processing. 81. 640–648. 8 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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