Siming Yan

523 total citations
9 papers, 245 citations indexed

About

Siming Yan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Siming Yan has authored 9 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Geology. Recurrent topics in Siming Yan's work include Image Processing and 3D Reconstruction (3 papers), 3D Surveying and Cultural Heritage (3 papers) and 3D Shape Modeling and Analysis (3 papers). Siming Yan is often cited by papers focused on Image Processing and 3D Reconstruction (3 papers), 3D Surveying and Cultural Heritage (3 papers) and 3D Shape Modeling and Analysis (3 papers). Siming Yan collaborates with scholars based in United States, China and South Korea. Siming Yan's co-authors include Daniel Yamins, Aran Nayebi, Chengxu Zhuang, Michael C. Frank, Martin Schrimpf, James J. DiCarlo, Qixing Huang, Zhenpei Yang, Chongyang Ma and Haibin Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Computers & Graphics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Siming Yan

9 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siming Yan United States	5	143	85	42	30	22	9	245
Maximilian Scherer Germany	16	68 0.5×	245 2.9×	116 2.8×	39 1.3×	19 0.9×	27	438
Peter Passmore United Kingdom	9	141 1.0×	97 1.1×	15 0.4×	15 0.5×	10 0.5×	28	282
S. Mahamud United States	7	80 0.6×	238 2.8×	13 0.3×	22 0.7×	9 0.4×	11	354
Florin Cutzu United States	8	276 1.9×	149 1.8×	8 0.2×	14 0.5×	7 0.3×	14	395
Bernhard Egger Germany	11	41 0.3×	237 2.8×	63 1.5×	53 1.8×	6 0.3×	27	349
L. Sharan United States	4	112 0.8×	207 2.4×	17 0.4×	29 1.0×	9 0.4×	10	347
Youngkwan Cho United States	10	74 0.5×	159 1.9×	6 0.1×	26 0.9×	29 1.3×	14	272
Javier Vázquez-Corral Spain	13	71 0.5×	447 5.3×	5 0.1×	10 0.3×	5 0.2×	52	537
Koen Vos Netherlands	7	127 0.9×	60 0.7×	31 0.7×	23 0.8×		17	268

Countries citing papers authored by Siming Yan

Since Specialization

Citations

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

Fields of papers citing papers by Siming Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Siming Yan. A scholar is included among the top collaborators of Siming 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 Siming Yan. Siming Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chen, Zhengming, Wenxi Zhang, Qingqiang Yao, et al.. (2023). TAssembly: Data-driven fractured object assembly using a linear template model. Computers & Graphics. 113. 102–112. 3 indexed citations

2.

Zhuang, Chengxu, Siming Yan, Aran Nayebi, et al.. (2021). Unsupervised neural network models of the ventral visual stream. Proceedings of the National Academy of Sciences. 118(3). 169 indexed citations

3.

Yang, Haitao, Zaiwei Zhang, Siming Yan, et al.. (2021). Scene Synthesis via Uncertainty-Driven Attribute Synchronization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5610–5620. 15 indexed citations

4.

Yan, Siming, Zhenpei Yang, Chongyang Ma, et al.. (2021). HPNet: Deep Primitive Segmentation Using Hybrid Representations. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2733–2742. 25 indexed citations

5.

Yang, Zhenpei, Siming Yan, & Qixing Huang. (2020). Extreme Relative Pose Network Under Hybrid Representations. 2452–2461. 19 indexed citations

6.

Zhuang, Chengxu, Siming Yan, Aran Nayebi, & Daniel Yamins. (2019). Self-supervised Neural Network Models of Higher Visual Cortex Development. 2 indexed citations

7.

Yan, Siming, Feng Shi, Yuhua Chen, et al.. (2018). Calcium removal from cardiac ct images using deep convolutional neural network. 466–469. 6 indexed citations

8.

Wan, Xiaojun, et al.. (2017). Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination. International Joint Conference on Natural Language Processing. 2. 355–360. 2 indexed citations

9.

Mei, Jie, Siming Yan, Guannan Qu, Dawei He, & T.G. Habetler. (2013). Design considerations for non-intrusive load monitoring hardware platforms in smart building. 1–6. 4 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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