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, Tianyong Hao, Qiang Yang, Xieling Chen, Weiguo Fan, Buzhou Tang, Zheng Chen, Qiansheng Cheng 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.
2.
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
3.
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
4.
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
5.
Liu, Sicen, Buzhou Tang, Xiaolong Wang, et al.. (2020). A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction. International Journal of Machine Learning and Cybernetics. 11(12). 2849–2856. 40 indexed citations
6.
Xiong, Ying, He Cao, Xiaolong Wang, et al.. (2020). Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity. BMC Medical Informatics and Decision Making. 20(S1). 72–72. 26 indexed citations
7.
Wang, Xiaofeng, et al.. (2020). Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis. JMIR Medical Informatics. 8(7). e17958–e17958. 44 indexed citations
8.
9.
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
10.
Tang, Buzhou, Xiaolong Wang, Qingcai Chen, et al.. (2019). A Deep Learning-Based System for the MEDDOCAN Task.. 761–767. 1 indexed citations
11.
Chen, Xieling, et al.. (2019). Discovering thematic change and evolution of utilizing social media for healthcare research. BMC Medical Informatics and Decision Making. 19(S2). 50–50. 88 indexed citations
12.
Chen, Xieling, et al.. (2018). A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008–2017. BMC Medical Informatics and Decision Making. 18(S5). 117–117. 39 indexed citations
13.
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
14.
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
15.
Shen, Yelong, Jun Yan, Shuicheng Yan, et al.. (2011). Sparse hidden-dynamics conditional random fields for user intent understanding. National University of Singapore. 7–16. 18 indexed citations
16.
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
17.
Yan, Jun. (2009). Several Factors Predict Response to Treatment in Depressed Teens. Psychiatric News. 44(7). 1–24. 1 indexed citations
18.
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
19.
Zhou, Xiaobo, Fuhai Li, Jun Yan, & Stephen T.C. Wong. (2008). A Novel Cell Segmentation Method and Cell Phase Identification Using Markov Model. IEEE Transactions on Information Technology in Biomedicine. 13(2). 152–157. 61 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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Breakdown of academic impact, for papers by Adiwijaya Adiwijaya Breakdown of academic impact, for papers by Shimei Pan Breakdown of academic impact, for papers by Liang Yao Breakdown of academic impact, for papers by David Isern Breakdown of academic impact, for papers by Tong Xu Breakdown of academic impact, for papers by Christopher Meek Breakdown of academic impact, for papers by Jaakko Peltonen Breakdown of academic impact, for papers by Mohammad Ehsan Basiri Breakdown of academic impact, for papers by Lin Li Breakdown of academic impact, for papers by Asad Masood Khattak
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