Ruihan Yang

1.5k total citations · 1 hit paper
31 papers, 610 citations indexed

About

Ruihan Yang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ruihan Yang has authored 31 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Ruihan Yang's work include Robot Manipulation and Learning (4 papers), Music Technology and Sound Studies (3 papers) and Music and Audio Processing (2 papers). Ruihan Yang is often cited by papers focused on Robot Manipulation and Learning (4 papers), Music Technology and Sound Studies (3 papers) and Music and Audio Processing (2 papers). Ruihan Yang collaborates with scholars based in China, United States and Singapore. Ruihan Yang's co-authors include Hongmei Lü, Yong‐Huan Yun, Ming Wen, Shaoyu Niu, Haozhi Sha, Zhimin Zhang, Stephan Mandt, Marco Levorato, Yoshitomo Matsubara and Xiaolong Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Atmospheric Environment.

In The Last Decade

Ruihan Yang

25 papers receiving 599 citations

Hit Papers

Deep-Learning-Based Drug–Target Interaction Prediction 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep-Learning-Based Drug–Target Interaction Prediction
    2017 408 citations Ming Wen, Ruihan Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruihan Yang China 9 344 335 126 70 62 31 610
Qurrat Ul Ain New Zealand 10 308 0.9× 305 0.9× 113 0.9× 28 0.4× 65 1.0× 28 584
Evgeny Byvatov Germany 8 374 1.1× 360 1.1× 99 0.8× 38 0.5× 60 1.0× 8 852
Qiujie Lv China 14 275 0.8× 266 0.8× 148 1.2× 48 0.7× 37 0.6× 23 543
Robert Burbidge United Kingdom 5 295 0.9× 239 0.7× 74 0.6× 33 0.5× 57 0.9× 6 619
Ziduo Yang China 15 485 1.4× 460 1.4× 239 1.9× 65 0.9× 32 0.5× 26 809
Qing Ye China 10 182 0.5× 195 0.6× 62 0.5× 26 0.4× 57 0.9× 45 448
Junjie Wang China 15 234 0.7× 286 0.9× 84 0.7× 129 1.8× 44 0.7× 70 659
Limeng Pu United States 12 211 0.6× 215 0.6× 65 0.5× 17 0.2× 54 0.9× 27 419
Fahimeh Ghasemi Iran 10 206 0.6× 177 0.5× 104 0.8× 20 0.3× 68 1.1× 23 472
Fei Luo China 12 245 0.7× 337 1.0× 57 0.5× 153 2.2× 58 0.9× 44 781

Countries citing papers authored by Ruihan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ruihan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruihan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruihan Yang. A scholar is included among the top collaborators of Ruihan 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 Ruihan Yang. Ruihan 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.
Yin, Na, et al.. (2025). Efficacy and safety of immunotherapy in real-world patients with advanced non-small cell lung cancer. Cancer Treatment and Research Communications. 43. 100908–100908. 1 indexed citations
2.
Zhao, Fangyu, Ruihan Yang, Zhao Li, et al.. (2025). Efficient separation of long-chain alpha-olefins via NaX zeolite in simulated moving bed adsorption process. Separation and Purification Technology. 363. 132298–132298. 2 indexed citations
3.
4.
Hu, Yafei, et al.. (2025). Learning Generalizable Feature Fields for Mobile Manipulation. 20952–20959.
5.
Ou, Qianmin, Xinyu Liu, Ruihan Yang, et al.. (2024). A “flexible” compulsory dental basic research course for undergraduate students: a three-year retrospective study. BMC Oral Health. 24(1). 1133–1133.
6.
Hu, Yang, et al.. (2024). Reversal of T-cell exhaustion: Mechanisms and synergistic approaches. International Immunopharmacology. 138. 112571–112571.
7.
Guo, Xinyu, Ruihan Yang, Yuan Zhao, et al.. (2024). “Osteo‐Organogenesis Niche” Hyaluronic Acid Engineered Materials Directing Re‐Osteo‐Organogenesis via Manipulating Macrophage CD44‐MAPK/ERK‐ETV1/5‐MRC1 Axis. Advanced Healthcare Materials. 13(32). e2403122–e2403122. 2 indexed citations
8.
Cheng, Xuxin, et al.. (2024). Expressive Whole-Body Control for Humanoid Robots. 25 indexed citations
9.
Yang, Ruihan, Yejin Kim, Rose Hendrix, et al.. (2024). Harmonic Mobile Manipulation. 3658–3665.
10.
Fu, Jiayi, et al.. (2024). GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick. 5791–5808. 4 indexed citations
11.
12.
Yang, Ruihan, et al.. (2023). New taxa of spiders (Araneae) from the world in 2022. Biodiversity Science. 31(10). 23175–23175. 2 indexed citations
13.
Yang, Ruihan, Prakhar Srivastava, & Stephan Mandt. (2023). Diffusion Probabilistic Modeling for Video Generation. Entropy. 25(10). 1469–1469. 3 indexed citations
14.
Li, Xiaohui, et al.. (2023). Measuring the binary thickness of buccal bone of anterior maxilla in low-resolution cone-beam computed tomography via a bilinear convolutional neural network. Quantitative Imaging in Medicine and Surgery. 13(12). 8053–8066. 2 indexed citations
15.
16.
Ren, Wenjun, Shu Yang, Xi Chen, et al.. (2022). NCAPG2 Is a Novel Prognostic Biomarker and Promotes Cancer Stem Cell Maintenance in Low-Grade Glioma. Frontiers in Oncology. 12. 918606–918606. 4 indexed citations
17.
Yang, Ruihan, Yina Ma, Meghana Bhatt, et al.. (2022). Dynamic neural reconfiguration for distinct strategies during competitive social interactions. NeuroImage. 263. 119585–119585. 1 indexed citations
18.
Wang, Wanyu, et al.. (2022). Case report: Autoimmune nodopathy with concurrent serum and CSF IgG4 anti-neurofascin 155 antibodies. Frontiers in Immunology. 13. 1028282–1028282. 4 indexed citations
19.
Wen, Ming, Baichuan Deng, Dongsheng Cao, et al.. (2016). The model adaptive space shrinkage (MASS) approach: a new method for simultaneous variable selection and outlier detection based on model population analysis. The Analyst. 141(19). 5586–5597. 24 indexed citations
20.
Yang, Ruihan, et al.. (2013). Multidimensional data mining for discover association rules in various granularities. 16. 1–6. 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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