Yushi Jing

1.8k total citations
16 papers, 1.1k citations indexed

About

Yushi Jing is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yushi Jing has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Yushi Jing's work include Advanced Image and Video Retrieval Techniques (12 papers), Image Retrieval and Classification Techniques (9 papers) and Video Analysis and Summarization (6 papers). Yushi Jing is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Image Retrieval and Classification Techniques (9 papers) and Video Analysis and Summarization (6 papers). Yushi Jing collaborates with scholars based in United States and Japan. Yushi Jing's co-authors include Shumeet Baluja, Henry A. Rowley, Shankar Kumar, D. Sivakumar, Deepak Ravichandran, Jay Yagnik, Mohamed Aly, James M. Rehg, Vladimir Pavlović and Dmitry Kislyuk and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Learning and IEEE Transactions on Multimedia.

In The Last Decade

Yushi Jing

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yushi Jing United States 12 755 391 289 92 89 16 1.1k
Jay Yagnik United States 11 705 0.9× 329 0.8× 219 0.8× 116 1.3× 81 0.9× 17 981
Roelof van Zwol United States 17 1.0k 1.4× 493 1.3× 518 1.8× 261 2.8× 117 1.3× 44 1.7k
Mohamed Aly United States 13 269 0.4× 659 1.7× 345 1.2× 79 0.9× 185 2.1× 28 1.1k
Linjun Yang China 25 1.9k 2.6× 586 1.5× 332 1.1× 139 1.5× 71 0.8× 65 2.3k
Anlei Dong United States 17 275 0.4× 350 0.9× 408 1.4× 113 1.2× 77 0.9× 39 798
Da Cao China 16 488 0.6× 491 1.3× 449 1.6× 38 0.4× 65 0.7× 42 1.0k
Gregory L. Heileman United States 21 278 0.4× 517 1.3× 290 1.0× 110 1.2× 176 2.0× 125 1.2k
Shulong Tan China 15 270 0.4× 576 1.5× 351 1.2× 98 1.1× 75 0.8× 27 895
Hai Liu China 9 214 0.3× 372 1.0× 312 1.1× 30 0.3× 63 0.7× 18 717
Yinwei Wei China 18 793 1.1× 994 2.5× 994 3.4× 87 0.9× 88 1.0× 56 1.7k

Countries citing papers authored by Yushi Jing

Since Specialization
Citations

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

Fields of papers citing papers by Yushi Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yushi Jing

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

All Works

16 of 16 papers shown
1.
Liu, David C., et al.. (2017). Related Pins at Pinterest. 583–592. 66 indexed citations
2.
Zhai, Andrew, Dmitry Kislyuk, Yushi Jing, et al.. (2017). Visual Discovery at Pinterest. 515–524. 36 indexed citations
3.
Jing, Yushi, David Liu, Dmitry Kislyuk, et al.. (2015). Visual Search at Pinterest. 1889–1898. 67 indexed citations
4.
Matsui, Yusuke, Kiyoharu Aizawa, & Yushi Jing. (2014). Sketch2Manga: Sketch-based manga retrieval. 3097–3101. 9 indexed citations
5.
Jing, Yushi, Michele Covell, David Tsai, & James M. Rehg. (2013). Learning Query-Specific Distance Functions for Large-Scale Web Image Search. IEEE Transactions on Multimedia. 15(8). 2022–2034. 13 indexed citations
6.
Jing, Yushi, et al.. (2012). Google image swirl. 539–540. 9 indexed citations
7.
Tsai, David, Yushi Jing, Yi Liu, et al.. (2011). Large-scale image annotation using visual synset. SMARTech Repository (Georgia Institute of Technology). 611–618. 38 indexed citations
8.
Jing, Yushi, Henry A. Rowley, Charles Rosenberg, et al.. (2010). Google image swirl, a large-scale content-based image browsing system. 267–267. 4 indexed citations
9.
Jing, Yushi, Michele Covell, & Henry A. Rowley. (2010). Comparison of clustering approaches for summarizing large populations of images. 7. 1523–1527. 6 indexed citations
10.
Baluja, Shumeet, D. Sivakumar, Yushi Jing, et al.. (2008). Video suggestion and discovery for youtube. 895–904. 296 indexed citations
11.
Jing, Yushi & Shumeet Baluja. (2008). VisualRank: Applying PageRank to Large-Scale Image Search. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(11). 1877–1890. 299 indexed citations
12.
Jing, Yushi, Vladimir Pavlović, & James M. Rehg. (2008). Boosted Bayesian network classifiers. Machine Learning. 73(2). 155–184. 41 indexed citations
13.
Jing, Yushi & Shumeet Baluja. (2008). Pagerank for product image search. 307–316. 138 indexed citations
14.
Jing, Yushi, Shumeet Baluja, & Henry A. Rowley. (2007). Canonical image selection from the web. 280–287. 24 indexed citations
15.
Rowley, Henry A., Yushi Jing, & Shumeet Baluja. (2006). LARGE SCALE IMAGE-BASED ADULT-CONTENT FILTERING. 290–296. 62 indexed citations
16.
Jing, Yushi, Vladimir Pavlović, & James M. Rehg. (2005). Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes. 369–376. 24 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026