Fei Qiao

3.5k total citations · 2 hit papers
134 papers, 2.4k citations indexed

About

Fei Qiao is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Fei Qiao has authored 134 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Electrical and Electronic Engineering, 37 papers in Computer Vision and Pattern Recognition and 29 papers in Biomedical Engineering. Recurrent topics in Fei Qiao's work include Advanced Memory and Neural Computing (41 papers), CCD and CMOS Imaging Sensors (38 papers) and Low-power high-performance VLSI design (27 papers). Fei Qiao is often cited by papers focused on Advanced Memory and Neural Computing (41 papers), CCD and CMOS Imaging Sensors (38 papers) and Low-power high-performance VLSI design (27 papers). Fei Qiao collaborates with scholars based in China, United States and Canada. Fei Qiao's co-authors include Qi Wei, Xin-Jun Liu, Fugui Xie, Chao Yu, Yi Yang, Zuxin Liu, Huazhong Yang, Fabrizio Lombardi, Jie Han and Honglan Jiang and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Inorganic Chemistry.

In The Last Decade

Fei Qiao

126 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments

2018 670 citations Xin-Jun Liu, Qi Wei et al. profile →
All-analog photoelectronic chip for high-speed vision tasks

2023 143 citations Xu Han, Qi Wei et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fei Qiao China	22	1.0k	955	882	429	349	134	2.4k
Qi Wei China	17	737 0.7×	783 0.8×	742 0.8×	204 0.5×	253 0.7×	135	1.8k
Cornelia Fermüller United States	31	567 0.5×	2.0k 2.1×	591 0.7×	142 0.3×	500 1.4×	144	3.1k
Hassan Foroosh United States	22	130 0.1×	1.7k 1.8×	358 0.4×	264 0.6×	604 1.7×	135	2.4k
Jincheng Yu China	16	991 1.0×	1.3k 1.4×	244 0.3×	74 0.2×	564 1.6×	42	2.0k
José Luis Lázaro Galilea Spain	20	558 0.5×	454 0.5×	296 0.3×	114 0.3×	113 0.3×	130	1.3k
Huiliang Cao China	29	1.1k 1.1×	261 0.3×	866 1.0×	496 1.2×	452 1.3×	146	2.6k
Linga Reddy Cenkeramaddi Norway	27	642 0.6×	395 0.4×	553 0.6×	279 0.7×	393 1.1×	201	2.1k
Kun Qian China	22	2.0k 1.9×	534 0.6×	348 0.4×	425 1.0×	206 0.6×	81	2.7k
Pavlo Molchanov United States	21	306 0.3×	1.6k 1.7×	226 0.3×	546 1.3×	1.0k 2.9×	57	2.9k
J.-Y. Bouguet United States	10	116 0.1×	1.4k 1.4×	474 0.5×	82 0.2×	138 0.4×	11	1.7k

Countries citing papers authored by Fei Qiao

Since Specialization

Citations

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

Fields of papers citing papers by Fei Qiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Qiao

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

Zheng, Ciyan, et al.. (2025). Flexible Wearable Heart Rate Monitoring System and Low-Power Design: A Review. Sensors. 25(16). 4913–4913. 2 indexed citations

Shi, Ge, et al.. (2024). A new CMOS-memristor based D-latch with fewer components. Microelectronics Journal. 146. 106154–106154. 3 indexed citations

Liu, Jiahui, et al.. (2024). NS-Engine: Near-Sensor Neural Network Engine with SRAM-Based Compute-in-Memory Macro. 1–5.

Zhu, Aijun, Weigang Hou, Xinghua Yang, et al.. (2024). A 2 to 4 Graphene Metamaterial Decoder and Tetrahydrofuran Detection. IEEE Sensors Journal. 24(18). 28753–28760. 5 indexed citations

Yang, Xinghua, Zheyu Liu, Kechao Tang, et al.. (2023). Breaking the energy-efficiency barriers for smart sensing applications with “Sensing with Computing” architectures. Science China Information Sciences. 66(10). 6 indexed citations

Yang, Xinghua, et al.. (2023). "\"Peak\" Quantization: A Training Method Suitable for Terminal Equipment to Deploy Keyword Spotting Network". 963–968.

Jin, Yu, et al.. (2023). A Survey of Approximate Computing: From Arithmetic Units Design to High-Level Applications. Journal of Computer Science and Technology. 38(2). 251–272. 7 indexed citations

Wang, Chenyu, et al.. (2023). Research progress in architecture and application of RRAM with computing-in-memory. Nanoscale Advances. 5(6). 1559–1573. 32 indexed citations

Liu, Qi, Qi She, Vincenzo Lomonaco, et al.. (2022). Towards lifelong object recognition: A dataset and benchmark. Pattern Recognition. 130. 108819–108819. 4 indexed citations

10.

Han, Xu, Li Luo, Qi Wei, et al.. (2021). Senputing: An Ultra-Low-Power Always-On Vision Perception Chip Featuring the Deep Fusion of Sensing and Computing. IEEE Transactions on Circuits and Systems I Regular Papers. 69(1). 232–243. 54 indexed citations

11.

Liu, Changlu, Peiyan Dong, Yan‐Ming Zhang, et al.. (2021). NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. IEEE Transactions on Circuits and Systems I Regular Papers. 68(5). 1892–1905. 23 indexed citations

12.

Li, Dongjiang, Wei Yang, Xuesong Shi, et al.. (2020). A Visual-Inertial Localization Method for Unmanned Aerial Vehicle in Underground Tunnel Dynamic Environments. IEEE Access. 8. 76809–76822. 16 indexed citations

13.

Han, Xu, Ziru Li, Deliang Fan, et al.. (2020). Reducing SRAM Reading Power With Column Data Segment and Weights Correlation Enhancement for CNN Processing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(11). 2237–2250. 2 indexed citations

14.

Han, Xu, Ziru Li, Qi Wei, et al.. (2020). MACSen: A Processing-In-Sensor Architecture Integrating MAC Operations Into Image Sensor for Ultra-Low-Power BNN-Based Intelligent Visual Perception. IEEE Transactions on Circuits & Systems II Express Briefs. 68(2). 627–631. 32 indexed citations

15.

Liu, Zheyu, Fei Qiao, Qi Wei, et al.. (2020). NS-CIM: A Current-Mode Computation-in-Memory Architecture Enabling Near-Sensor Processing for Intelligent IoT Vision Nodes. IEEE Transactions on Circuits and Systems I Regular Papers. 67(9). 2909–2922. 24 indexed citations

16.

Liu, Zheyu, Xuan Zhang, Qi Wei, et al.. (2019). Processing Near Sensor Architecture in Mixed-Signal Domain With CMOS Image Sensor of Convolutional-Kernel-Readout Method. IEEE Transactions on Circuits and Systems I Regular Papers. 67(2). 389–400. 34 indexed citations

17.

Liu, Zheyu, Zheng Qu, Fei Qiao, et al.. (2019). ASP-SIFT: Using Analog Signal Processing Architecture to Accelerate Keypoint Detection of SIFT Algorithm. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(1). 198–211. 3 indexed citations

18.

Luo, Li, Fei Qiao, Yi Yang, et al.. (2018). Design of FPGA-Based Accelerator for Convolutional Neural Network under Heterogeneous Computing Framework with OpenCL. International Journal of Reconfigurable Computing. 2018. 1–10. 6 indexed citations

19.

Fan, Hua, et al.. (2018). A 4-Channel 12-Bit High-Voltage Radiation-Hardened Digital-to-Analog Converter for Low Orbit Satellite Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 65(11). 3698–3706. 28 indexed citations

20.

Sun, Wenyu, Yuxuan Huang, Fei Qiao, et al.. (2018). Mechanical strain and temperature aware design methodology for thin-film transistor based pseudo-CMOS logic array. Asia and South Pacific Design Automation Conference. 645–650. 1 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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