Jingyang Yuan

1.8k total citations · 1 hit paper
9 papers, 189 citations indexed

About

Jingyang Yuan is a scholar working on Artificial Intelligence, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Jingyang Yuan has authored 9 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Aerospace Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Jingyang Yuan's work include Soft Robotics and Applications (2 papers), Space Satellite Systems and Control (2 papers) and Advanced Graph Neural Networks (2 papers). Jingyang Yuan is often cited by papers focused on Soft Robotics and Applications (2 papers), Space Satellite Systems and Control (2 papers) and Advanced Graph Neural Networks (2 papers). Jingyang Yuan collaborates with scholars based in China, United States and Hong Kong. Jingyang Yuan's co-authors include Yifang Qin, Xiao Luo, Wei Ju, Zhiping Xiao, Qingqing Long, Zheng Fang, Yiyang Gu, Yifan Wang, Ziyue Qiao and Jianhao Shen and has published in prestigious journals such as Neural Networks, Information Fusion and ArXiv.org.

In The Last Decade

Jingyang Yuan

8 papers receiving 184 citations

Hit Papers

align trajectories sort by overperformance

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.

A Comprehensive Survey on Deep Graph Representation Learning

2024 138 citations Wei Ju, Zheng Fang et al. Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingyang Yuan China	4	100	37	25	20	18	9	189
Zhiping Xiao China	4	98 1.0×	38 1.0×	26 1.0×	20 1.0×	18 1.0×	12	188
Xitong Gao China	8	104 1.0×	92 2.5×	23 0.9×	22 1.1×	6 0.3×	20	208
Weidi Xu China	8	258 2.6×	91 2.5×	6 0.2×	7 0.3×	32 1.8×	15	337
Xuesong Yin China	7	183 1.8×	202 5.5×	13 0.5×	4 0.2×	14 0.8×	27	302
Tamer Alkhouli Germany	8	216 2.2×	65 1.8×	13 0.5×	4 0.2×	12 0.7×	15	287
Dennis Schieferdecker Germany	5	52 0.5×	33 0.9×	15 0.6×	31 1.6×	4 0.2×	11	178
Xiaofeng Cao China	5	194 1.9×	181 4.9×	6 0.2×	22 1.1×	10 0.6×	23	275
Jiří Dvorský Czechia	8	65 0.7×	35 0.9×	3 0.1×	7 0.3×	35 1.9×	46	188
Kyle Fox United States	8	30 0.3×	37 1.0×	8 0.3×	10 0.5×	21 1.2×	27	144
Zhihao Wu China	8	171 1.7×	39 1.1×	60 2.4×	52 2.6×	18 1.0×	12	324

Countries citing papers authored by Jingyang Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Jingyang Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyang Yuan. A scholar is included among the top collaborators of Jingyang Yuan 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 Jingyang Yuan. Jingyang Yuan 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.

Yuan, Jingyang, Huazuo Gao, Damai Dai, et al.. (2025). Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. 23078–23097. 3 indexed citations

2.

Luo, Junyu, Bohan Wu, Xiao Luo, et al.. (2025). A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. ArXiv.org. 30904–30920. 1 indexed citations

3.

Ju, Wei, Zheng Fang, Yiyang Gu, et al.. (2024). A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks. 173. 106207–106207. 138 indexed citations breakdown →

4.

Ju, Wei, Yusheng Zhao, Yifang Qin, et al.. (2024). COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Information Fusion. 107. 102341–102341. 30 indexed citations

5.

Yuan, Jingyang, Xiao Luo, Yifang Qin, et al.. (2023). Learning on Graphs under Label Noise. 1–5. 12 indexed citations

6.

Liu, Jingbo, Jingyang Yuan, & Jin Sha. (2019). Symbol-Based Algorithms for Decoding Binary LDPC Codes with Higher-Order Modulations. 1. 1–5. 1 indexed citations

7.

Xu, Hongwei, et al.. (2018). Research on the Reform of Hospital Salary System Based on Problem Orientation.

8.

Yuan, Jingyang. (2006). Dynamics Characters of Coordinated Manipulation for Multi-arms Free Flying Space Robot with External Force Acting on. Journal of Astronautics. 1 indexed citations

9.

Yuan, Jingyang, Changan Liu, & Guixian Li. (2006). Dynamics Coordinated Control Method of Multi-Arm Free-Flying Space Robot with External Force Acting. ra 3. 8933–8937. 3 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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