Rui Yan

3.5k total citations
139 papers, 2.4k citations indexed

About

Rui Yan is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Rui Yan has authored 139 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 42 papers in Artificial Intelligence and 38 papers in Cognitive Neuroscience. Recurrent topics in Rui Yan's work include Advanced Memory and Neural Computing (39 papers), Neural dynamics and brain function (31 papers) and Robot Manipulation and Learning (14 papers). Rui Yan is often cited by papers focused on Advanced Memory and Neural Computing (39 papers), Neural dynamics and brain function (31 papers) and Robot Manipulation and Learning (14 papers). Rui Yan collaborates with scholars based in China, Singapore and United States. Rui Yan's co-authors include Jian‐Xin Xu, Huajin Tang, Keng Peng Tee, Xianye Ben, Weixiao Meng, Haizhou Li, Dilip Kumar Limbu, Kay Chen Tan, Xi Peng and Yanan Li and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Sensors and Actuators B Chemical.

In The Last Decade

Rui Yan

126 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rui Yan China	26	849	709	488	479	440	139	2.4k
Rui Yang China	24	826 1.0×	446 0.6×	385 0.8×	409 0.9×	202 0.5×	158	2.6k
Laxmidhar Behera India	33	1.7k 2.1×	1000 1.4×	557 1.1×	625 1.3×	403 0.9×	313	4.2k
Naoyuki Kubota Japan	23	1.1k 1.3×	1.3k 1.8×	266 0.5×	945 2.0×	451 1.0×	492	3.2k
Majid Nili Ahmadabadi Iran	26	646 0.8×	446 0.6×	191 0.4×	482 1.0×	848 1.9×	202	2.4k
Jochen J. Steil Germany	29	1.5k 1.8×	510 0.7×	505 1.0×	1.3k 2.7×	842 1.9×	175	3.1k
Yixin Zhu China	28	578 0.7×	667 0.9×	492 1.0×	634 1.3×	242 0.6×	112	2.3k
Weihua Cao China	30	1.2k 1.4×	391 0.6×	334 0.7×	600 1.3×	171 0.4×	219	3.2k
Minho Lee South Korea	26	227 0.3×	748 1.1×	353 0.7×	625 1.3×	220 0.5×	174	2.3k
Zhongmin Wang China	25	255 0.3×	659 0.9×	398 0.8×	424 0.9×	315 0.7×	132	2.6k
David Vernon Ireland	22	582 0.7×	512 0.7×	87 0.2×	645 1.3×	362 0.8×	96	2.3k

Countries citing papers authored by Rui Yan

Since Specialization

Citations

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

Fields of papers citing papers by Rui Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yan. A scholar is included among the top collaborators of Rui 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 Rui Yan. Rui 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:

20 of 20 papers shown

Cheng, Chuanqi, et al.. (2025). Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains. 27782–27798.

Lian, Shuang, et al.. (2025). Two-Stream Spiking Neural Network for Event-based Action Recognition. 1–5.

Yang, Bo, et al.. (2024). Enhancing SNN-based spatio-temporal learning: A benchmark dataset and Cross-Modality Attention model. Neural Networks. 180. 106677–106677. 6 indexed citations

Tang, Huajin, et al.. (2024). Neuromorphic Auditory Perception by Neural Spiketrum. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 292–303. 3 indexed citations

Wang, He, et al.. (2024). Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 574–582. 3 indexed citations

Wang, Haixia, et al.. (2024). Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 717–728.

Lian, Shuang, Jiangrong Shen, Qianhui Liu, et al.. (2023). Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. 3002–3010. 13 indexed citations

Jin, Xiaobo, Ming Zhang, Rui Yan, Gang Pan, & De Ma. (2023). R-SNN: Region-Based Spiking Neural Network for Object Detection. IEEE Transactions on Cognitive and Developmental Systems. 16(3). 810–817. 8 indexed citations

Pan, Binfeng, et al.. (2023). Picard Iteration-Based Convexification for Fuel-Optimal Rocket Descent Inside Atmosphere. Journal of Guidance Control and Dynamics. 46(2). 343–349. 10 indexed citations

10.

Yan, Rui, et al.. (2023). Exploiting noise as a resource for computation and learning in spiking neural networks. Patterns. 4(10). 100831–100831. 15 indexed citations

11.

Yan, Rui, et al.. (2023). A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning. 3049–3057. 3 indexed citations

12.

Zhang, Teng, Qingsong Liu, Jiahui Huang, et al.. (2022). An Energy-Efficient Reconfigurable AI-Based Object Detection and Tracking Processor Supporting Online Object Learning. IEEE Solid-State Circuits Letters. 5. 78–81. 4 indexed citations

13.

Cao, Bin, et al.. (2022). HAIN: Multilabel Classification With Hierarchical Attention-Based Interaction Network for Multiturn Dialogue Texts. IEEE Transactions on Cognitive and Developmental Systems. 15(3). 1514–1523. 2 indexed citations

14.

Xiao, Rong, et al.. (2022). Event stream learning using spatio-temporal event surface. Neural Networks. 154. 543–559. 8 indexed citations

15.

Wang, Yixuan, et al.. (2019). A structure–time parallel implementation of spike-based deep learning. Neural Networks. 113. 72–78. 9 indexed citations

16.

Tang, Huajin, et al.. (2016). Cognitive memory and mapping in a brain-like system for robotic navigation. Neural Networks. 87. 27–37. 27 indexed citations

17.

Yan, Rui, et al.. (2015). Continuous Foraging and Information Gathering in a Multi-Agent Team. Adaptive Agents and Multi-Agents Systems. 1325–1333. 6 indexed citations

18.

McCusker, Jamie P., Rui Yan, Kusum Solanki, et al.. (2014). A Nanopublication Framework for Biological Networks using Cytoscape.js.. Research Publications (Maastricht University). 90–92. 1 indexed citations

19.

Lingras, Pawan, et al.. (2003). Rough Set Based Clustering: Evolutionary, Neural, and Statistical Approaches.. Indian International Conference on Artificial Intelligence. 1074–1087. 7 indexed citations

20.

Hou, Xiaorong, Rui Yan, & Weinian Zhang. (2002). Bifurcations of a polynomial differential system of degree n in biochemical reactions. Computers & Mathematics with Applications. 43(10-11). 1407–1423. 15 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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