Linjun Yang

3.7k total citations
65 papers, 2.3k citations indexed

About

Linjun Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Linjun Yang has authored 65 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Linjun Yang's work include Advanced Image and Video Retrieval Techniques (57 papers), Image Retrieval and Classification Techniques (48 papers) and Multimodal Machine Learning Applications (25 papers). Linjun Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (57 papers), Image Retrieval and Classification Techniques (48 papers) and Multimodal Machine Learning Applications (25 papers). Linjun Yang collaborates with scholars based in China, United States and Netherlands. Linjun Yang's co-authors include Xian‐Sheng Hua, Meng Wang, Tao Mei, Bo Geng, Hao Zhang, Dong Liu, Alan Hanjalić, Zheng-Jun Zha, Shipeng Li and Zengfu Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Linjun Yang

65 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linjun Yang China	25	1.9k	586	332	174	139	65	2.3k
Pınar Duygulu Türkiye	21	1.3k 0.7×	488 0.8×	138 0.4×	129 0.7×	144 1.0×	73	1.7k
Alex Hauptmann United States	19	1.2k 0.6×	742 1.3×	164 0.5×	67 0.4×	225 1.6×	52	1.8k
Yunhao Yuan China	21	868 0.5×	582 1.0×	123 0.4×	275 1.6×	103 0.7×	103	1.5k
Yan-Tao Zheng Singapore	17	2.8k 1.4×	892 1.5×	122 0.4×	239 1.4×	236 1.7×	49	3.3k
Giulia Boato Italy	23	1.6k 0.8×	376 0.6×	213 0.6×	209 1.2×	239 1.7×	116	2.0k
Bart Thomée Netherlands	12	1.2k 0.6×	421 0.7×	89 0.3×	113 0.6×	114 0.8×	31	1.5k
Jianguo Xiao China	28	1.1k 0.6×	1.9k 3.2×	402 1.2×	61 0.4×	93 0.7×	112	2.9k
Donglin Cao China	15	1.4k 0.7×	613 1.0×	157 0.5×	73 0.4×	77 0.6×	60	1.9k
Stéphane Marchand‐Maillet Switzerland	16	1.0k 0.5×	385 0.7×	108 0.3×	89 0.5×	141 1.0×	104	1.4k
Xin-Shun Xu China	29	1.7k 0.9×	636 1.1×	138 0.4×	60 0.3×	60 0.4×	123	2.1k

Countries citing papers authored by Linjun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Linjun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linjun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Linjun Yang. A scholar is included among the top collaborators of Linjun Yang 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 Linjun Yang. Linjun Yang 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

1.

Rouzrokh, Pouria, et al.. (2023). A Stepwise Approach to Analyzing Musculoskeletal Imaging Data With Artificial Intelligence. Arthritis Care & Research. 76(5). 590–599. 1 indexed citations

2.

Tian, Xinmei, et al.. (2015). Exploration of Image Search Results Quality Assessment. IEEE Transactions on Big Data. 1(3). 95–108. 4 indexed citations

3.

Cai, Yang & Linjun Yang. (2013). Large-Scale Near-Duplicate Web Video Retrieval: Challenges and Approaches. IEEE Multimedia. 20(2). 42–51. 4 indexed citations

4.

Geng, Bo, Dacheng Tao, Chao Xu, Linjun Yang, & Xian‐Sheng Hua. (2012). Ensemble Manifold Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(6). 1227–1233. 189 indexed citations

5.

Yang, Yang, Linjun Yang, Gangshan Wu, & Shipeng Li. (2012). A bag-of-objects retrieval model for web image search. 49–58. 8 indexed citations

6.

Yang, Linjun & Alan Hanjalić. (2012). Learning to Rerank Web Images. IEEE Multimedia. 20(2). 13–21. 3 indexed citations

7.

Tian, Xinmei, Yijuan Lu, & Linjun Yang. (2011). Query Difficulty Prediction for Web Image Search. IEEE Transactions on Multimedia. 14(4). 951–962. 14 indexed citations

8.

Yang, Linjun & Alan Hanjalić. (2011). Learning from search engine and human supervision for web image search. 1365–1368. 7 indexed citations

9.

Geng, Bo, Linjun Yang, Chao Xu, & Xian‐Sheng Hua. (2010). Content-aware Ranking for visual search. 3400–3407. 41 indexed citations

10.

Jiao, Binxing, Linjun Yang, Jizheng Xu, & Feng Wu. (2010). Visual summarization of web pages. 499–506. 19 indexed citations

11.

Shang, Lifeng, Linjun Yang, Fei Wang, Kwok-Ping Chan, & Xian‐Sheng Hua. (2010). Real-time large scale near-duplicate web video retrieval. The HKU Scholars Hub (University of Hong Kong). 531–540. 94 indexed citations

12.

Zhou, Wengang, Qi Tian, Yijuan Lu, Linjun Yang, & Houqiang Li. (2010). Latent visual context learning for web image applications. Pattern Recognition. 44(10-11). 2263–2273. 19 indexed citations

13.

Min, Kerui, Linjun Yang, John Wright, et al.. (2010). Compact projection: Simple and efficient near neighbor search with practical memory requirements. 1. 3477–3484. 28 indexed citations

14.

Wang, Meng, Linjun Yang, & Xian‐Sheng Hua. (2009). MSRA-MM: Bridging Research and Industrial Societies for Multimedia Information Retrieval. 54 indexed citations

15.

Liu, Bo, Meng Wang, Linjun Yang, Xiuqing Wu, & Xian-Sheng Hua. (2009). Efficient image and video re-coloring for colorblindness. 906–909. 8 indexed citations

16.

Yang, Linjun, Li Wang, Bo Geng, & Xian‐Sheng Hua. (2009). Query sampling for ranking learning in web search. 754–755. 10 indexed citations

17.

Liu, Dong, et al.. (2009). Tag quality improvement for social images. 350–353. 23 indexed citations

18.

Mei, Tao, Zheng-Jun Zha, Yuan Liu, et al.. (2008). MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search.. TRECVID. 10 indexed citations

19.

Geng, Bo, Linjun Yang, Chao Xu, & Xian‐Sheng Hua. (2008). Collaborative learning for image and video annotation. 443–450. 11 indexed citations

20.

Mei, Tao, et al.. (2007). VideoSense. 463–464. 3 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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