Jincheng Yu

2.9k total citations · 2 hit papers
42 papers, 2.0k citations indexed

About

Jincheng Yu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jincheng Yu has authored 42 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Jincheng Yu's work include Robotics and Sensor-Based Localization (18 papers), Advanced Neural Network Applications (16 papers) and Robotic Path Planning Algorithms (12 papers). Jincheng Yu is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Advanced Neural Network Applications (16 papers) and Robotic Path Planning Algorithms (12 papers). Jincheng Yu collaborates with scholars based in China, United States and Canada. Jincheng Yu's co-authors include Huazhong Yang, Kaiyuan Guo, Jiantao Qiu, Song Yao, Yu Wang, Boxun Li, Tianqi Tang, Jie Wang, Erjin Zhou and Sen Song and has published in prestigious journals such as IEEE Access, Renewable Energy and Biomacromolecules.

In The Last Decade

Jincheng Yu

38 papers receiving 1.9k citations

Hit Papers

Going Deeper with Embedded FPGA Platform for Convolutiona... 2016 2026 2019 2022 2016 2017 250 500 750
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.

  1. Going Deeper with Embedded FPGA Platform for Convolutional Neural Network
    2016 882 citations Jiantao Qiu, Kaiyuan Guo et al. profile →
  2. Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA
    2017 416 citations Kaiyuan Guo, Jiantao Qiu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jincheng Yu China 16 1.3k 991 564 244 223 42 2.0k
Huizi Mao United States 13 1.9k 1.4× 991 1.0× 1.2k 2.2× 260 1.1× 372 1.7× 15 2.9k
Kaisheng Ma China 25 796 0.6× 1.2k 1.2× 639 1.1× 81 0.3× 354 1.6× 83 2.5k
Marian Verhelst Belgium 33 775 0.6× 2.4k 2.4× 643 1.1× 149 0.6× 421 1.9× 225 3.6k
Tianqi Tang China 24 969 0.7× 1.8k 1.8× 629 1.1× 60 0.2× 229 1.0× 60 2.8k
Erjin Zhou China 13 1.9k 1.4× 570 0.6× 689 1.2× 84 0.3× 131 0.6× 15 2.4k
Xingyu Liu China 7 1.3k 1.0× 642 0.6× 672 1.2× 154 0.6× 234 1.0× 15 1.9k
Francesco Conti Italy 24 595 0.5× 999 1.0× 405 0.7× 191 0.8× 513 2.3× 102 2.0k
Caiwen Ding United States 22 617 0.5× 782 0.8× 833 1.5× 50 0.2× 219 1.0× 117 1.8k
Shoumeng Yan China 8 1.2k 0.9× 189 0.2× 908 1.6× 94 0.4× 123 0.6× 30 1.8k
Fei Qiao China 22 955 0.7× 1.0k 1.1× 349 0.6× 882 3.6× 135 0.6× 134 2.4k

Countries citing papers authored by Jincheng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jincheng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jincheng Yu

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

All Works

20 of 20 papers shown
1.
Zhu, Zhenhua, Tianchen Zhao, Jincheng Yu, et al.. (2025). REACT3D: Real-time Edge Accelerator for Incremental Training in 3D Gaussian Splatting based SLAM Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1852–1866.
2.
Dong, Guangzhong, et al.. (2024). In-situ green hydrogen production from offshore wind farms, a prospective review. Renewable Energy. 239. 122099–122099. 10 indexed citations
3.
Wang, Yafang, Hongyu Liu, Jincheng Yu, et al.. (2024). Ionic Conductive Cellulose-Based Hydrogels with Superior Long-Lasting Moisture and Antifreezing Features for Flexible Strain Sensor Applications. Biomacromolecules. 25(2). 838–852. 25 indexed citations
4.
5.
6.
Li, Haiying, Jincheng Yu, Jinxin Zhang, et al.. (2023). Origins, timing and introgression of domestic geese revealed by whole genome data. Journal of Animal Science and Biotechnology. 14(1). 26–26. 14 indexed citations
7.
Yu, Jincheng, Yuanfan Xu, Zhilin Xu, et al.. (2022). MR-GMMapping: Communication Efficient Multi-Robot Mapping System via Gaussian Mixture Model. IEEE Robotics and Automation Letters. 7(2). 3294–3301. 14 indexed citations
8.
Zhou, Lipu, et al.. (2022). $\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. IEEE Robotics and Automation Letters. 7(3). 7163–7170. 24 indexed citations
9.
Lin, Zihan, Jincheng Yu, Lipu Zhou, et al.. (2022). Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. IEEE Robotics and Automation Letters. 7(4). 12443–12450. 2 indexed citations
10.
Xu, Yuanfan, Jincheng Yu, Jiantao Qiu, et al.. (2022). Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration. 2022 International Conference on Robotics and Automation (ICRA). 6225–6231. 29 indexed citations
11.
Wu, Yichun, Jincheng Yu, Jian Wang, et al.. (2022). MR-GMMExplore: Multi-Robot Exploration System in Unknown Environments based on Gaussian Mixture Model. 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO). 1198–1203. 2 indexed citations
12.
13.
Qiu, Jiantao, et al.. (2021). Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator. IEEE Access. 9. 84773–84782. 1 indexed citations
14.
Cao, Jianfei, Jincheng Yu, Chao Yu, et al.. (2021). A SLAM Pose Graph Optimization Method Using Dual Visual Odometry. Journal of Computer-Aided Design & Computer Graphics. 33(8). 1264–1272. 1 indexed citations
15.
Yu, Jincheng, Zhilin Xu, Shulin Zeng, et al.. (2020). INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. 1–6. 6 indexed citations
16.
Xu, Zhilin, Jincheng Yu, Chao Yu, et al.. (2020). CNN-based Feature-point Extraction for Real-time Visual SLAM on Embedded FPGA. 33–37. 32 indexed citations
17.
Yu, Jincheng, Zhilin Xu, Shulin Zeng, et al.. (2020). INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. 316–316. 1 indexed citations
18.
Yu, Jincheng, Yiming Hu, Xuefei Ning, et al.. (2018). Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA. ACM Transactions on Reconfigurable Technology and Systems. 11(3). 1–23. 18 indexed citations
19.
Guo, Kaiyuan, Jincheng Yu, Xuefei Ning, et al.. (2018). RRAM Based Buffer Design for Energy Efficient CNN Accelerator. 435–440. 5 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Huizi Mao Breakdown of academic impact, for papers by Kaisheng Ma Breakdown of academic impact, for papers by Marian Verhelst Breakdown of academic impact, for papers by Tianqi Tang Breakdown of academic impact, for papers by Erjin Zhou Breakdown of academic impact, for papers by Xingyu Liu Breakdown of academic impact, for papers by Francesco Conti Breakdown of academic impact, for papers by Caiwen Ding Breakdown of academic impact, for papers by Shoumeng Yan Breakdown of academic impact, for papers by Fei Qiao
Rankless by CCL
2026