Jun Yan

2.8k total citations
81 papers, 1.7k citations indexed

About

Jun Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jun Yan has authored 81 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 22 papers in Information Systems. Recurrent topics in Jun Yan's work include Topic Modeling (20 papers), Text and Document Classification Technologies (19 papers) and Natural Language Processing Techniques (11 papers). Jun Yan is often cited by papers focused on Topic Modeling (20 papers), Text and Document Classification Technologies (19 papers) and Natural Language Processing Techniques (11 papers). Jun Yan collaborates with scholars based in China, United States and Hong Kong. Jun Yan's co-authors include Benyu Zhang, Shuicheng Yan, Qiang Yang, Tianyong Hao, Xieling Chen, Weiguo Fan, Buzhou Tang, Qiansheng Cheng, Zheng Chen and Zheng Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, BMC Bioinformatics and Journal of Medical Internet Research.

In The Last Decade

Jun Yan

77 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yan China 24 939 392 328 206 117 81 1.7k
Adiwijaya Adiwijaya Indonesia 23 1.1k 1.2× 230 0.6× 725 2.2× 205 1.0× 105 0.9× 242 2.1k
Shimei Pan United States 21 1.3k 1.3× 457 1.2× 352 1.1× 83 0.4× 165 1.4× 92 2.2k
Liang Yao China 18 1.4k 1.5× 243 0.6× 275 0.8× 233 1.1× 123 1.1× 36 1.9k
David Isern Spain 16 757 0.8× 143 0.4× 376 1.1× 286 1.4× 141 1.2× 39 1.4k
Tong Xu China 26 1.2k 1.2× 527 1.3× 468 1.4× 186 0.9× 54 0.5× 149 2.2k
Christopher Meek United States 15 1.6k 1.7× 347 0.9× 578 1.8× 233 1.1× 70 0.6× 41 2.5k
Jaakko Peltonen Finland 20 694 0.7× 640 1.6× 208 0.6× 155 0.8× 97 0.8× 89 1.5k
Mohammad Ehsan Basiri Iran 20 1.4k 1.5× 214 0.5× 302 0.9× 88 0.4× 218 1.9× 35 1.9k
Lin Li China 22 1.0k 1.1× 367 0.9× 428 1.3× 60 0.3× 135 1.2× 243 2.0k
Asad Masood Khattak United Arab Emirates 24 684 0.7× 250 0.6× 478 1.5× 84 0.4× 86 0.7× 112 1.6k

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yan. A scholar is included among the top collaborators of Jun Yan 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 Jun Yan. Jun Yan 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
1.
Wang, Shaobo, et al.. (2023). An Interpretable Data-Driven Medical Knowledge Discovery Pipeline Based on Artificial Intelligence. IEEE Journal of Biomedical and Health Informatics. 27(10). 5099–5109. 3 indexed citations
2.
Yang, Xiaolei, Feng Wang, Shaobo Wang, et al.. (2021). Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study. Journal of Medical Internet Research. 23(4). e24996–e24996. 23 indexed citations
3.
Li, Simin, Yulan Lin, Tong Zhu, et al.. (2021). Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method. Neural Computing and Applications. 35(18). 13037–13046. 32 indexed citations
4.
Wang, Yinhua, Wanliang Du, Jun Yan, et al.. (2021). Diagnosis and differential diagnosis flow diagram of Chinese post‐stroke aphasia types and treatment of post‐stroke aphasia. Aging Medicine. 4(4). 325–336. 5 indexed citations
5.
Tang, Buzhou, Xiaolong Wang, Qingcai Chen, et al.. (2019). A Deep Learning-Based System for the MEDDOCAN Task.. 761–767. 1 indexed citations
6.
Hu, Jing, Jun Yan, Zhenqiang Wu, Hai Liu, & Yihui Zhou. (2019). A Privacy-Preserving Approach in Friendly-Correlations of Graph Based on Edge-Differential Privacy.. Journal of information science and engineering. 35. 821–837. 6 indexed citations
7.
Zou, Lei, et al.. (2017). Efficiently Answering Technical Questions — A Knowledge Graph Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 27 indexed citations
8.
Yan, Jun, et al.. (2016). Predictors of Attitudinal Outcomes in Mobile Advertising in Sri Lanka: An Emerging Market. International Journal of Marketing Studies. 8(3). 129–129. 5 indexed citations
9.
Shen, Dou, et al.. (2013). Proceedings of the Seventh International Workshop on Data Mining for Online Advertising. Knowledge Discovery and Data Mining. 2 indexed citations
11.
Wang, Yilei, Bingzheng Wei, Jun Yan, et al.. (2012). A novel local patch framework for fixing supervised learning models. 1233–1242. 1 indexed citations
12.
Chang, Yaping, et al.. (2010). Online In-Game Advertising Effect: Examining the Influence of a Match Between Games and Advertising. Journal of Interactive Advertising. 11(1). 63–73. 44 indexed citations
13.
Chen, Tianqi, Jun Yan, Gui-Rong Xue, & Zheng Chen. (2010). Transfer learning for behavioral targeting. 21. 1077–1078. 6 indexed citations
14.
Zhang, Zhimin, et al.. (2010). Using search session context for named entity recognition in query. 765–766. 23 indexed citations
15.
16.
Yan, Shuicheng, Huan Wang, Yun Fu, et al.. (2008). Synchronized Submanifold Embedding for Person-Independent Pose Estimation and Beyond. IEEE Transactions on Image Processing. 18(1). 202–210. 56 indexed citations
17.
Yan, Jun. (2007). Impact of Label Warnings Felt Beyond Target Groups. Psychiatric News. 42(17). 1–28. 1 indexed citations
18.
Liu, Ning, et al.. (2007). Local Word Bag Model for Text Categorization. 625–630. 17 indexed citations
19.
Liu, Ning, Benyu Zhang, Jun Yan, et al.. (2006). Text Representation: From Vector to Tensor. 725–728. 43 indexed citations
20.
Yan, Jun. (2001). On the Development Orientation of Sport Psychology in China. 1 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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