Fanfei Chen

663 total citations
11 papers, 423 citations indexed

About

Fanfei Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Fanfei Chen has authored 11 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Fanfei Chen's work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (4 papers) and Reinforcement Learning in Robotics (4 papers). Fanfei Chen is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (4 papers) and Reinforcement Learning in Robotics (4 papers). Fanfei Chen collaborates with scholars based in United States. Fanfei Chen's co-authors include Brendan Englot, Shi Bai, Jinkun Wang, Tixiao Shan, Yewei Huang, John McConnell, John McConnell, Lantao Liu and Lin Xi and has published in prestigious journals such as Robotics and Autonomous Systems, IEEE Journal of Oceanic Engineering and IEEE Robotics and Automation Letters.

In The Last Decade

Fanfei Chen

11 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fanfei Chen United States	10	281	277	92	60	52	11	423
Rafael Valencia Spain	9	231 0.8×	267 1.0×	59 0.6×	42 0.7×	48 0.9×	14	332
Xiaodong Yi China	12	238 0.8×	240 0.9×	58 0.6×	77 1.3×	17 0.3×	52	429
Carlos Nieto-Granda United States	10	222 0.8×	252 0.9×	55 0.6×	89 1.5×	36 0.7×	24	405
Michail Kontitsis United States	9	146 0.5×	268 1.0×	68 0.7×	45 0.8×	34 0.7×	15	392
Rodrigo Munguía Mexico	13	231 0.8×	403 1.5×	84 0.9×	52 0.9×	41 0.8×	51	505
Yang Lyu China	11	210 0.7×	342 1.2×	71 0.8×	101 1.7×	35 0.7×	43	481
Julien Moras France	10	155 0.6×	192 0.7×	46 0.5×	29 0.5×	74 1.4×	28	303
Chi Hay Tong Canada	12	231 0.8×	319 1.2×	116 1.3×	20 0.3×	34 0.7×	22	457
Matouš Vrba Czechia	11	217 0.8×	287 1.0×	31 0.3×	74 1.2×	22 0.4×	19	368
Mingxing Wen Singapore	12	208 0.7×	281 1.0×	25 0.3×	24 0.4×	42 0.8×	39	363

Countries citing papers authored by Fanfei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Fanfei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanfei Chen

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

11 of 11 papers shown

1.

Xi, Lin, Yewei Huang, Fanfei Chen, & Brendan Englot. (2024). Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning. 8327–8333. 4 indexed citations

2.

Wang, Jinkun, Fanfei Chen, Yewei Huang, et al.. (2022). Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments. IEEE Journal of Oceanic Engineering. 47(4). 916–935. 23 indexed citations

3.

McConnell, John, Fanfei Chen, & Brendan Englot. (2022). Overhead Image Factors for Underwater Sonar-Based SLAM. IEEE Robotics and Automation Letters. 7(2). 4901–4908. 22 indexed citations

4.

Chen, Fanfei, Yewei Huang, Jinkun Wang, et al.. (2021). Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty. 5193–5199. 13 indexed citations

5.

Bai, Shi, Tixiao Shan, Fanfei Chen, Lantao Liu, & Brendan Englot. (2021). Information-Driven Path Planning. 2(2). 177–188. 19 indexed citations

6.

Huang, Yewei, Tixiao Shan, Fanfei Chen, & Brendan Englot. (2021). DiSCo-SLAM: Distributed Scan Context-Enabled Multi-Robot LiDAR SLAM With Two-Stage Global-Local Graph Optimization. IEEE Robotics and Automation Letters. 7(2). 1150–1157. 73 indexed citations

7.

Chen, Fanfei, et al.. (2020). Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs. 6140–6147. 53 indexed citations

8.

Shan, Tixiao, et al.. (2020). Simulation-based lidar super-resolution for ground vehicles. Robotics and Autonomous Systems. 134. 103647–103647. 52 indexed citations

9.

Chen, Fanfei, Shi Bai, Tixiao Shan, & Brendan Englot. (2019). Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning. AIAA Scitech 2019 Forum. 37 indexed citations

10.

Bai, Shi, Fanfei Chen, & Brendan Englot. (2017). Toward autonomous mapping and exploration for mobile robots through deep supervised learning. 2379–2384. 38 indexed citations

11.

Bai, Shi, Jinkun Wang, Fanfei Chen, & Brendan Englot. (2016). Information-theoretic exploration with Bayesian optimization. 1816–1822. 89 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.

Explore authors with similar magnitude of impact