Sen Yang

3.2k total citations · 2 hit papers
60 papers, 1.5k citations indexed

About

Sen Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sen Yang has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Sen Yang's work include Topic Modeling (9 papers), Human Pose and Action Recognition (9 papers) and Natural Language Processing Techniques (8 papers). Sen Yang is often cited by papers focused on Topic Modeling (9 papers), Human Pose and Action Recognition (9 papers) and Natural Language Processing Techniques (8 papers). Sen Yang collaborates with scholars based in China, United States and United Kingdom. Sen Yang's co-authors include Hao Yu, Shenghuo Zhu, Wenhui Wang, Jing Li, Xiang Zhang, Dawei Feng, Dongsheng Li, Zhigang Kan, Linbo Qiao and Wankou Yang and has published in prestigious journals such as Bioinformatics, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Sen Yang

52 papers receiving 1.4k citations

Hit Papers

Parallel Restarted SGD with Faster Convergence and Less C... 2019 2026 2021 2023 2019 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Yang China 15 770 381 359 327 174 60 1.5k
Hisashi Kashima Japan 12 563 0.7× 234 0.6× 171 0.5× 113 0.3× 65 0.4× 28 1.0k
Jian-Ping Mei China 15 740 1.0× 460 1.2× 375 1.0× 305 0.9× 55 0.3× 39 1.4k
Daniel S. Hirschberg United States 14 694 0.9× 178 0.5× 283 0.8× 316 1.0× 351 2.0× 28 1.2k
Elena Dubrova Sweden 20 609 0.8× 270 0.7× 192 0.5× 308 0.9× 343 2.0× 153 1.6k
Jun Huan United States 17 599 0.8× 553 1.5× 219 0.6× 153 0.5× 164 0.9× 54 1.3k
Marion Neumann Germany 10 746 1.0× 293 0.8× 133 0.4× 73 0.2× 98 0.6× 18 1.1k
Jialei Wang United States 18 789 1.0× 251 0.7× 96 0.3× 82 0.3× 115 0.7× 35 1.3k
Daniel Lopresti United States 24 660 0.9× 1.0k 2.7× 144 0.4× 94 0.3× 218 1.3× 150 1.9k
Huifang Ma China 24 818 1.1× 743 2.0× 122 0.3× 38 0.1× 82 0.5× 161 1.6k
Du Zhang United States 16 509 0.7× 162 0.4× 66 0.2× 158 0.5× 79 0.5× 73 934

Countries citing papers authored by Sen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Yang. A scholar is included among the top collaborators of Sen 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 Sen Yang. Sen Yang 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.
Zhang, Ruisheng, Shi‐Jin Ding, Yuanjun Guo, et al.. (2025). Designing Laves-phase RFe2-type alloy with excellent magnetostrictive performance by physics-informed interpretable machine learning. Materials & Design. 252. 113799–113799. 3 indexed citations
2.
Zhou, Chao, Ruisheng Zhang, Hongwen Chen, et al.. (2025). Giant magnetostriction and narrow hysteresis over a broad temperature window in Tb0.34Dy0.66Fe1.95V0.05 alloy. Journal of Alloys and Compounds. 1039. 183396–183396.
3.
Feng, Quan, et al.. (2024). An effective unsupervised domain adaptation for in-field potato disease recognition. Biosystems Engineering. 247. 267–282.
4.
5.
Yang, Sen, et al.. (2024). DeepAIP: Deep learning for anti-inflammatory peptide prediction using pre-trained protein language model features based on contextual self-attention network. International Journal of Biological Macromolecules. 280(Pt 4). 136172–136172. 4 indexed citations
6.
Liang, Kewei, et al.. (2023). The joint detection and classification model for spatiotemporal action localization of primates in a group. Neural Computing and Applications. 35(25). 18471–18486. 2 indexed citations
7.
Cui, Leyang, et al.. (2023). Enhancing Grammatical Error Correction Systems with Explanations. 7489–7501. 4 indexed citations
8.
Yang, Sen, et al.. (2023). A Software Security Testing Model for Autonomous Systems. 70–74. 1 indexed citations
9.
Lu, Shun, Yu Hu, Peihao Wang, et al.. (2023). PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8957–8965. 8 indexed citations
10.
Chen, Chao, Kele Xu, Sen Yang, et al.. (2023). Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. IEEE Transactions on Artificial Intelligence. 5(5). 2410–2421. 6 indexed citations
12.
Yang, Sen, et al.. (2022). FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3913–3917. 11 indexed citations
13.
Lu, Shun, Jixiang Li, Jianchao Tan, Sen Yang, & Ji Liu. (2021). TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework. Neural Information Processing Systems. 34. 9 indexed citations
14.
Peng, Hui, Yifan Zhang, Sen Yang, & Bin Song. (2019). Battlefield Image Situational Awareness Application Based on Deep Learning. IEEE Intelligent Systems. 35(1). 36–43. 24 indexed citations
15.
Yang, Sen, Dawei Feng, Linbo Qiao, Zhigang Kan, & Dongsheng Li. (2019). Exploring Pre-trained Language Models for Event Extraction and Generation. 5284–5294. 199 indexed citations
16.
Yao, Yi, Song Huang, Kaishun Wu, et al.. (2019). Testing Adequacy of Convolutional Neural Network Based on Mutation Testing. 536–537. 1 indexed citations
17.
Yu, Hao, Sen Yang, & Shenghuo Zhu. (2018). Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication.. arXiv (Cornell University). 17 indexed citations
18.
Lin, Wei, et al.. (2016). STREAMSCOPE: continuous reliable distributed processing of big data streams. Networked Systems Design and Implementation. 439–453. 46 indexed citations
19.
Yang, Sen, Qian Sun, Shuiwang Ji, et al.. (2015). Structural Graphical Lasso for Learning Mouse Brain Connectivity. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1385–1394. 19 indexed citations
20.
Yang, Sen. (2002). Environment Data Representation and Interchange Using SEDRIS. Jisuanji gongcheng.

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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