Chenye Guan

1.2k total citations · 1 hit paper
7 papers, 728 citations indexed

About

Chenye Guan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Chenye Guan has authored 7 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 1 paper in Computational Mechanics. Recurrent topics in Chenye Guan's work include Advanced Neural Network Applications (4 papers), Advanced Vision and Imaging (4 papers) and Robotics and Sensor-Based Localization (2 papers). Chenye Guan is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Vision and Imaging (4 papers) and Robotics and Sensor-Based Localization (2 papers). Chenye Guan collaborates with scholars based in China, United States and Dominican Republic. Chenye Guan's co-authors include Ruigang Yang, Dingfu Zhou, Junbo Yin, Yuchao Dai, Xibin Song, Peng Wang, Jin Fang, Xinjing Cheng, Jianbing Shen and Hao Su and has published in prestigious journals such as ANU Open Research (Australian National University), Oxford University Research Archive (ORA) (University of Oxford) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Chenye Guan

7 papers receiving 715 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.

IoU Loss for 2D/3D Object Detection

2019 297 citations Dingfu Zhou, Jin Fang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenye Guan China	7	582	235	108	104	80	7	728
Junbo Yin China	13	729 1.3×	304 1.3×	69 0.6×	122 1.2×	101 1.3×	26	965
Yohann Cabon South Korea	6	615 1.1×	231 1.0×	83 0.8×	67 0.6×	48 0.6×	11	776
Tengteng Huang China	7	930 1.6×	203 0.9×	81 0.8×	89 0.9×	67 0.8×	7	1.1k
Ziyu Zhang China	9	761 1.3×	316 1.3×	47 0.4×	83 0.8×	51 0.6×	14	865
Jin Fang China	12	721 1.2×	367 1.6×	77 0.7×	156 1.5×	115 1.4×	22	1.0k
Émilie Wirbel France	7	347 0.6×	112 0.5×	75 0.7×	68 0.7×	50 0.6×	12	439
Qingqiu Huang China	4	480 0.8×	225 1.0×	25 0.2×	61 0.6×	41 0.5×	6	612
Xiao Song China	11	488 0.8×	102 0.4×	123 1.1×	53 0.5×	31 0.4×	16	619
Zhiying Tan China	13	255 0.4×	244 1.0×	31 0.3×	113 1.1×	50 0.6×	62	656

Countries citing papers authored by Chenye Guan

Since Specialization

Citations

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

Fields of papers citing papers by Chenye Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenye Guan

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

7 of 7 papers shown

1.

Zhang, Feihu, Chenye Guan, Jin Fang, et al.. (2020). Instance Segmentation of LiDAR Point Clouds. Oxford University Research Archive (ORA) (University of Oxford). 9448–9455. 37 indexed citations

2.

Cheng, Xinjing, Peng Wang, Yanqi Zhou, Chenye Guan, & Ruigang Yang. (2020). Omnidirectional Depth Extension Networks. 589–595. 20 indexed citations

3.

Zhang, Rong, Wei Li, Peng Wang, et al.. (2020). AutoRemover: Automatic Object Removal for Autonomous Driving Videos. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12853–12861. 8 indexed citations

4.

Cheng, Xinjing, Peng Wang, Chenye Guan, & Ruigang Yang. (2020). CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10615–10622. 152 indexed citations

5.

Yin, Junbo, Jianbing Shen, Chenye Guan, Dingfu Zhou, & Ruigang Yang. (2020). LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention. 11492–11501. 103 indexed citations

6.

Zhou, Dingfu, Jin Fang, Xibin Song, et al.. (2019). IoU Loss for 2D/3D Object Detection. 85–94. 297 indexed citations breakdown →

7.

Song, Xibin, Peng Wang, Dingfu Zhou, et al.. (2019). ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving. ANU Open Research (Australian National University). 5447–5457. 111 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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