Jian Yu

4.9k total citations · 1 hit paper
181 papers, 3.4k citations indexed

About

Jian Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jian Yu has authored 181 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 42 papers in Computational Theory and Mathematics. Recurrent topics in Jian Yu's work include Optimization and Variational Analysis (31 papers), Economic theories and models (18 papers) and Game Theory and Applications (18 papers). Jian Yu is often cited by papers focused on Optimization and Variational Analysis (31 papers), Economic theories and models (18 papers) and Game Theory and Applications (18 papers). Jian Yu collaborates with scholars based in China, United States and Canada. Jian Yu's co-authors include Dongju Liu, Hui Yang, Michael K. Ng, Caiyan Jia, Liping Jing, Hua Huang, Cheng Qian, Kok-Keong Tan, Tieyong Zeng and Yiqi Wang and has published in prestigious journals such as Environmental Science & Technology, Scientific Reports and Food Chemistry.

In The Last Decade

Jian Yu

170 papers receiving 3.3k citations

Hit Papers

Traffic Flow Prediction via Spatial Temporal Graph Neural... 2020 2026 2022 2024 2020 100 200 300

Peers

Jian Yu
Feng Liu China
Marco Wiering Netherlands
Robert M. Freund United States
Rong Chen China
Ying Tan China
Feng Liu China
Jian Yu
Citations per year, relative to Jian Yu Jian Yu (= 1×) peers Feng Liu

Countries citing papers authored by Jian Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jian Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Yu. A scholar is included among the top collaborators of Jian Yu 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 Jian Yu. Jian Yu 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.
Cheng, L.M., et al.. (2024). Lower Limb Motor Intention Detection Model Based on Feature Fusion and Reinforcement Learning Assisted Approach. Computing and Informatics. 43(6). 1372–1396.
2.
Liu, Huafeng, et al.. (2024). Deep fair clustering with multi-level decorrelation. Information Sciences. 681. 121252–121252.
4.
5.
Chen, Yicong, Jianle Li, Chao Dang, et al.. (2023). Efficacy and safety of agomelatine versus SSRIs/SNRIs for post-stroke depression: a systematic review and meta-analysis of randomized controlled trials. International Clinical Psychopharmacology. 39(3). 163–173. 4 indexed citations
6.
Zhu, Jie, et al.. (2023). Exploring the key genomic variation in monkeypox virus during the 2022 outbreak. BMC Genomic Data. 24(1). 67–67. 18 indexed citations
7.
Liu, Huafeng, et al.. (2021). Interpretable Deep Generative Recommendation Models. Journal of Machine Learning Research. 22(202). 1–54. 9 indexed citations
9.
Huang, Zhenhua, et al.. (2016). Survey of Semantics-Based Recommendation Algorithms. Figshare. 44(9). 2275. 1 indexed citations
10.
Yu, Jian. (2013). Multiple extended targets tracking for cognitive radar in the presence of signal-dependent clutter. Journal of Circuits and Systems. 1 indexed citations
11.
Yu, Jian, et al.. (2011). Sample-weighted clustering methods. Computers & Mathematics with Applications. 62(5). 2200–2208. 18 indexed citations
12.
Yu, Jian. (2010). MPSK Modulation Classification Based on Morlet Transform. Communications technology. 2 indexed citations
13.
Yu, Jian. (2010). Domain Knowledge in Text Mining:Opportunities and Challenges. Computer Engineering and Science. 1 indexed citations
14.
Yu, Jian. (2010). Pest forecast model based on improved AdaBoost algorithm.. Shenyang Nongye Daxue xuebao. 41(6). 755–757. 1 indexed citations
15.
Yu, Jian & Pengwei Hao. (2007). A Novel Insight into Learning Theory: The Gap between Teaching and Learning. International Journal of Fuzzy Systems. 9(4). 212–219. 1 indexed citations
16.
Yu, Jian, et al.. (2007). A metric on the space of finite measures with an application to fixed point theory. Applied Mathematics Letters. 21(5). 489–495.
17.
Lin, Zhi & Jian Yu. (2004). On well-posedness of the multiobjective generalized game. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 19(3). 327–334. 2 indexed citations
18.
Yu, Jian & Hui Yang. (2004). The essential components of the set of equilibrium points for set-valued maps. Journal of Mathematical Analysis and Applications. 300(2). 334–342. 9 indexed citations
19.
Yu, Jian. (2003). GAME THEORY AND NONLINEAR ANALYSIS. 8 indexed citations
20.
Yu, Jian. (1992). Essential weak efficient solution in multiobjective optimization problems. Journal of Mathematical Analysis and Applications. 166(1). 230–235. 36 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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