Fangwen Yu

643 total citations
22 papers, 342 citations indexed

About

Fangwen Yu is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fangwen Yu has authored 22 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 8 papers in Cognitive Neuroscience and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fangwen Yu's work include Indoor and Outdoor Localization Technologies (5 papers), Advanced Memory and Neural Computing (5 papers) and Robotics and Sensor-Based Localization (5 papers). Fangwen Yu is often cited by papers focused on Indoor and Outdoor Localization Technologies (5 papers), Advanced Memory and Neural Computing (5 papers) and Robotics and Sensor-Based Localization (5 papers). Fangwen Yu collaborates with scholars based in China, Australia and Austria. Fangwen Yu's co-authors include Jianga Shang, Fuqiang Gu, Kourosh Khoshelham, Michael Milford, Youjian Hu, Yujie Wu, Rong Zhao, Zheng Zhong, Hanle Zheng and Xue Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Internet of Things Journal.

In The Last Decade

Fangwen Yu

20 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangwen Yu China	8	185	91	88	85	55	22	342
Cheng Hu China	12	108 0.6×	127 1.4×	97 1.1×	72 0.8×	38 0.7×	27	383
Xavier Clady France	10	193 1.0×	85 0.9×	221 2.5×	60 0.7×	65 1.2×	20	439
David Weikersdorfer Germany	7	103 0.6×	34 0.4×	92 1.0×	89 1.0×	16 0.3×	8	235
Bernhard Großwindhager Austria	9	290 1.6×	142 1.6×	30 0.3×	80 0.9×	24 0.4×	16	450
Jacques Kaiser Germany	11	361 2.0×	216 2.4×	96 1.1×	102 1.2×	115 2.1×	26	510
Xiaochao Dang China	7	219 1.2×	93 1.0×	17 0.2×	32 0.4×	114 2.1×	11	298
Philipp Mayer Switzerland	13	286 1.5×	29 0.3×	54 0.6×	70 0.8×	29 0.5×	41	472
Khalil Ullah Pakistan	12	119 0.6×	77 0.8×	60 0.7×	17 0.2×	32 0.6×	53	397
Olaf Booij Netherlands	12	132 0.7×	87 1.0×	352 4.0×	294 3.5×	111 2.0×	25	538

Countries citing papers authored by Fangwen Yu

Since Specialization

Citations

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

Fields of papers citing papers by Fangwen Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangwen Yu

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

All Works

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20 of 20 papers shown

Yu, Fangwen, Mingyan Li, Chao Chen, et al.. (2025). Event-Driven Tactile Sensing With Dense Spiking Graph Neural Networks. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.

Li, Xiao, Xieyuanli Chen, Yujie Wu, et al.. (2025). NeuroVE: Brain-Inspired Linear-Angular Velocity Estimation With Spiking Neural Networks. IEEE Robotics and Automation Letters. 10(3). 2375–2382. 1 indexed citations

Han, Doug Hyun, et al.. (2025). Geospatial brain-inspired navigation: a neurocognitive approach for autonomous systems in complex environments. Geo-spatial Information Science. 1–16.

Gu, Fuqiang, Fangwen Yu, Chao Chen, et al.. (2024). Accurate and efficient floor localization with scalable spiking graph neural networks. SHILAP Revista de lepidopterología. 5(1). 4 indexed citations

Zhong, Zheng, Hanle Zheng, Fangwen Yu, et al.. (2024). Adaptive spatiotemporal neural networks through complementary hybridization. Nature Communications. 15(1). 7355–7355. 6 indexed citations

Zheng, Hanle, Zheng Zhong, Bo Xiao, et al.. (2024). Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics. Nature Communications. 15(1). 277–277. 44 indexed citations

Zhou, Jiachao, Fangwen Yu, Mingkun Xu, et al.. (2024). An Optical Neuromorphic Sensor with High Uniformity and High Linearity for Indoor Visible Light Localization. SHILAP Revista de lepidopterología. 3(6). 2 indexed citations

Shen, Dan, et al.. (2023). ORB-NeuroSLAM: A Brain-Inspired 3-D SLAM System Based on ORB Features. IEEE Internet of Things Journal. 11(7). 12408–12418. 6 indexed citations

Yu, Fangwen, Yujie Wu, Mingkun Xu, et al.. (2023). Brain-inspired multimodal hybrid neural network for robot place recognition. Science Robotics. 8(78). eabm6996–eabm6996. 42 indexed citations

10.

Wang, Dong, et al.. (2023). Thermodynamic performance assessment and application feasibility analysis of small heat pump water heater using CO2/R41 azeotropy mixture as refrigerant for sustainable development. Frontiers in Energy Research. 11. 1 indexed citations

11.

Chen, Liang, et al.. (2023). A Neuro-Inspired Positioning System Integrating MEMS Sensors and DTMB Signals. IEEE Transactions on Broadcasting. 69(3). 823–831. 4 indexed citations

12.

Gu, Fuqiang, Yong Lee, Yuan Zhuang, et al.. (2022). MDOE: A Spatiotemporal Event Representation Considering the Magnitude and Density of Events. IEEE Robotics and Automation Letters. 7(3). 7966–7973. 2 indexed citations

13.

Wu, Liao, Fangwen Yu, Thanh Nho, & Jiaole Wang. (2022). Camera Frame Misalignment in a Teleoperated Eye-in-Hand Robot: Effects and a Simple Correction Method. IEEE Transactions on Human-Machine Systems. 53(1). 2–12. 7 indexed citations

14.

Zhong, Shuai, Yishu Zhang, Hao Zheng, Fangwen Yu, & Rong Zhao. (2022). Spike‐Based Spatiotemporal Processing Enabled by Oscillation Neuron for Energy‐Efficient Artificial Sensory Systems. SHILAP Revista de lepidopterología. 4(9). 17 indexed citations

15.

Yu, Fangwen, et al.. (2021). A Plane-Dependent Model of 3D Grid Cells for Representing Both 2D and 3D Spaces Under Various Navigation Modes. Frontiers in Computational Neuroscience. 15. 739515–739515. 1 indexed citations

16.

Yu, Fangwen, Jianga Shang, Youjian Hu, & Michael Milford. (2019). NeuroSLAM: a brain-inspired SLAM system for 3D environments. Biological Cybernetics. 113(5-6). 515–545. 71 indexed citations

17.

Yao, Xiongliang, et al.. (2017). Toroidal bubble dynamics near a solid wall at different Reynolds number. International Journal of Multiphase Flow. 100. 104–118. 10 indexed citations

18.

Gu, Fuqiang, et al.. (2017). Robust and Accurate Smartphone-Based Step Counting for Indoor Localization. IEEE Sensors Journal. 17(11). 3453–3460. 83 indexed citations

19.

Gu, Fuqiang, Kourosh Khoshelham, Jianga Shang, & Fangwen Yu. (2016). Sensory landmarks for indoor localization. 15 indexed citations

20.

Yu, Fangwen, et al.. (2013). Indoor Semantic Location Models for Location-Based Services. 6 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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