Rui Shi

2.1k total citations · 1 hit paper
37 papers, 1.7k citations indexed

About

Rui Shi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Rui Shi has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Computational Mechanics and 9 papers in Artificial Intelligence. Recurrent topics in Rui Shi's work include 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Rui Shi is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (7 papers) and Explainable Artificial Intelligence (XAI) (5 papers). Rui Shi collaborates with scholars based in China, Japan and United States. Rui Shi's co-authors include Yongfa Zhu, Liwu Zhang, Jing Xu, Yasushi Yamaguchi, Tat‐Seng Chua, Mengliang Tian, Huamin Feng, Qiguang Miao, Jian Ji and Peng Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Materials Chemistry A and Phytochemistry.

In The Last Decade

Rui Shi

35 papers receiving 1.7k citations

Hit Papers

Chemical exfoliation of graphitic carbon nitride for effi... 2013 2026 2017 2021 2013 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Shi China 13 1.0k 924 587 297 117 37 1.7k
Gaowei Zhang China 25 427 0.4× 610 0.7× 618 1.1× 89 0.3× 105 0.9× 91 2.0k
Yanqing Zhang China 25 424 0.4× 606 0.7× 809 1.4× 90 0.3× 180 1.5× 129 2.1k
Xinhong Chen China 21 724 0.7× 239 0.3× 538 0.9× 46 0.2× 112 1.0× 83 1.6k
Jinming Shi China 23 558 0.6× 381 0.4× 404 0.7× 30 0.1× 87 0.7× 60 2.4k
Yuxin Wang China 17 195 0.2× 338 0.4× 265 0.5× 216 0.7× 137 1.2× 110 1.3k
Yibin Chen China 17 711 0.7× 752 0.8× 525 0.9× 93 0.3× 110 0.9× 91 1.6k
P.R. Deshmukh India 31 419 0.4× 852 0.9× 1.4k 2.3× 157 0.5× 103 0.9× 112 2.3k
Alejandro López-Ortíz Canada 27 493 0.5× 880 1.0× 366 0.6× 92 0.3× 327 2.8× 168 2.9k
Weiwei Xia China 24 557 0.6× 347 0.4× 1.4k 2.4× 75 0.3× 93 0.8× 131 2.1k
Yannan Chen China 12 275 0.3× 253 0.3× 160 0.3× 130 0.4× 127 1.1× 51 761

Countries citing papers authored by Rui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Rui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Shi. A scholar is included among the top collaborators of Rui Shi 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 Rui Shi. Rui Shi 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.
Qiao, Zhi, et al.. (2025). GarTrans: Transformer-Based Architecture for Dynamic and Detailed Garment Deformation. Computational Visual Media. 11(6). 1209–1226. 1 indexed citations
2.
Shi, Rui, et al.. (2025). Attribution explanations for decision-making in deep lane-change models. Transportation Research Part C Emerging Technologies. 180. 105361–105361.
3.
Shi, Rui, et al.. (2025). Traffic Scene-Informed Attribution of Autonomous Driving Decisions. IEEE Transactions on Intelligent Transportation Systems. 26(7). 9175–9186. 4 indexed citations
4.
Shi, Rui, et al.. (2024). Efficient Deformation Learning of Varied Garments with a Structure-Preserving Multilevel Framework. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 7(1). 1–19. 2 indexed citations
5.
Shi, Rui, et al.. (2024). Understanding Decision-Making of Autonomous Driving via Semantic Attribution. IEEE Transactions on Intelligent Transportation Systems. 26(1). 283–294. 1 indexed citations
6.
Shi, Rui, et al.. (2024). Exploring Decision Shifts in Autonomous Driving With Attribution-Guided Visualization. IEEE Transactions on Intelligent Transportation Systems. 26(3). 4165–4177. 1 indexed citations
7.
Shi, Rui, et al.. (2023). Understanding contributing neurons via attribution visualization. Neurocomputing. 550. 126492–126492. 1 indexed citations
8.
Zhao, Peng, Fengming He, Ye Li, et al.. (2023). Nine undescribed sesquiterpenoids from the aerial parts of Daphne penicillata: cyclooxygenase-2 inhibition, molecular docking, and molecular dynamics studies. New Journal of Chemistry. 47(45). 20890–20899. 4 indexed citations
9.
Zhao, Peng, Ye Li, Guo‐Dong Yao, et al.. (2023). Structurally diverse rearranged sesquiterpenoids, including a pair of rare tautomers, from the aerial parts of Daphne penicillata. Phytochemistry. 218. 113950–113950. 3 indexed citations
10.
Shi, Rui, et al.. (2020). DenseGATs: A Graph-Attention-Based Network for Nonlinear Character Deformation. 1–9. 10 indexed citations
11.
Curtis, Frank E. & Rui Shi. (2020). A fully stochastic second-order trust region method. Optimization methods & software. 37(3). 844–877. 8 indexed citations
12.
Shi, Rui, et al.. (2020). An attribution-based pruning method for real-time mango detection with YOLO network. Computers and Electronics in Agriculture. 169. 105214–105214. 98 indexed citations
13.
Ji, Jian, et al.. (2020). Encoder-Decoder With Cascaded CRFs for Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 31(5). 1926–1938. 79 indexed citations
14.
Shi, Rui, et al.. (2020). Group visualization of class-discriminative features. Neural Networks. 129. 75–90. 6 indexed citations
15.
Zhou, Sanping, Jinjun Wang, Rui Shi, et al.. (2017). Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification. IEEE Transactions on Multimedia. 1–1. 62 indexed citations
16.
Shi, Rui, et al.. (2015). Discrete Artificial Bee Colony Algorithm Based on Logic Operation. 43(11). 2161–2166. 1 indexed citations
17.
Shi, Rui, Wei Zeng, Zhengyu Su, et al.. (2013). Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration. 2531–2538. 17 indexed citations
18.
Shi, Rui, et al.. (2013). Colon Flattening Using Heat Diffusion Riemannian Metric. IEEE Transactions on Visualization and Computer Graphics. 19(12). 2848–2857. 13 indexed citations
19.
Shi, Rui, et al.. (2005). A Novel Approach to Auto Image Annotation Based on Pairwise Constrained Clustering and Semi-Naïve Bayesian Model. National University of Singapore. 322–327. 20 indexed citations
20.
Feng, Huamin, Rui Shi, & Tat‐Seng Chua. (2004). A bootstrapping framework for annotating and retrieving WWW images. 960–967. 59 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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