Danfeng Qin

557 total citations
7 papers, 315 citations indexed

About

Danfeng Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Danfeng Qin has authored 7 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Danfeng Qin's work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Danfeng Qin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers) and Multimodal Machine Learning Applications (3 papers). Danfeng Qin collaborates with scholars based in Switzerland, United States and Belgium. Danfeng Qin's co-authors include Luc Van Gool, Till Quack, Stephan Gammeter, Lukas Bossard, Christian Wengert, Jesse Berent, Adriana Kovashka, Mingda Zhang, Matthieu Guillaumin and Luc J. Van Gool and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Lirias (KU Leuven).

In The Last Decade

Danfeng Qin

7 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danfeng Qin Switzerland	4	295	68	50	33	14	7	315
Sezer Karaoğlu Netherlands	9	226 0.8×	53 0.8×	53 1.1×	11 0.3×	13 0.9×	32	273
Mingyuan Jiu France	9	172 0.6×	79 1.2×	29 0.6×	12 0.4×	19 1.4×	21	223
Zhen-Duo Chen China	14	595 2.0×	144 2.1×	25 0.5×	18 0.5×	7 0.5×	40	636
Santiago Manén Switzerland	5	248 0.8×	51 0.8×	18 0.4×	34 1.0×	6 0.4×	5	265
Huilan Luo China	8	137 0.5×	51 0.8×	59 1.2×	45 1.4×	7 0.5×	41	196
Roei Herzig United States	8	180 0.6×	115 1.7×	17 0.3×	16 0.5×	13 0.9×	13	239
Jiajia Wu China	9	79 0.3×	42 0.6×	47 0.9×	15 0.5×	6 0.4×	18	142
Zhangyong Tang China	7	117 0.4×	24 0.4×	30 0.6×	42 1.3×	6 0.4×	15	175
Alexander H. Liu United States	6	189 0.6×	73 1.1×	77 1.5×	30 0.9×	3 0.2×	14	252

Countries citing papers authored by Danfeng Qin

Since Specialization

Citations

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

Fields of papers citing papers by Danfeng Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danfeng Qin

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

All Works

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7 of 7 papers shown

1.

Zhang, Mingda, et al.. (2022). Learning to Overcome Noise in Weak Caption Supervision for Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–18. 3 indexed citations

2.

Zhang, Mingda, et al.. (2019). Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection. 9685–9694. 31 indexed citations

3.

Qin, Danfeng, et al.. (2014). Quantized Kernel Learning for Feature Matching. 27. 172–180. 7 indexed citations

4.

Qin, Danfeng, Yuhua Chen, Matthieu Guillaumin, & Luc Van Gool. (2014). Learning to Rank Histograms for Object Retrieval. 43.1–43.12. 2 indexed citations

5.

Qin, Danfeng, Yuhua Chen, Matthieu Guillaumin, & Luc Van Gool. (2014). Learning to rank bag-of-word histograms for large-scale object retrieval. Lirias (KU Leuven). 1–12. 3 indexed citations

6.

Qin, Danfeng, Christian Wengert, & Luc Van Gool. (2013). Query Adaptive Similarity for Large Scale Object Retrieval. Lirias (KU Leuven). 1610–1617. 57 indexed citations

7.

Qin, Danfeng, Stephan Gammeter, Lukas Bossard, Till Quack, & Luc Van Gool. (2011). Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors. Lirias (KU Leuven). 777–784. 212 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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