Xiaozhi Chen

7.6k total citations · 5 hit papers
48 papers, 4.6k citations indexed

About

Xiaozhi Chen is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials and Aerospace Engineering. According to data from OpenAlex, Xiaozhi Chen has authored 48 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 15 papers in Mechanics of Materials and 13 papers in Aerospace Engineering. Recurrent topics in Xiaozhi Chen's work include Advanced Neural Network Applications (14 papers), Robotics and Sensor-Based Localization (13 papers) and Hydrocarbon exploration and reservoir analysis (10 papers). Xiaozhi Chen is often cited by papers focused on Advanced Neural Network Applications (14 papers), Robotics and Sensor-Based Localization (13 papers) and Hydrocarbon exploration and reservoir analysis (10 papers). Xiaozhi Chen collaborates with scholars based in China, Hong Kong and Australia. Xiaozhi Chen's co-authors include Huimin Ma, Tian Xia, Bo Li, Ji Wan, Kaustav Kundu, Raquel Urtasun, Sanja Fidler, Peiliang Li, Shaojie Shen and Yukun Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Hazardous Materials and IEEE Transactions on Image Processing.

In The Last Decade

Xiaozhi Chen

46 papers receiving 4.4k citations

Hit Papers

Multi-view 3D Object Detection Network for Autonomous Dri... 2015 2026 2018 2022 2017 2016 2015 2019 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaozhi Chen China 17 3.6k 1.8k 778 705 539 48 4.6k
Shaoshuai Shi Hong Kong 17 4.5k 1.3× 2.4k 1.3× 888 1.1× 1.2k 1.6× 1.1k 2.0× 24 5.8k
Xinge Zhu China 21 2.1k 0.6× 838 0.5× 462 0.6× 476 0.7× 361 0.7× 42 2.9k
Chaoxu Guo China 14 1.7k 0.5× 812 0.4× 257 0.3× 375 0.5× 312 0.6× 23 2.6k
Andreas Nüchter Germany 36 2.8k 0.8× 3.3k 1.8× 367 0.5× 1.5k 2.1× 1.9k 3.6× 189 5.4k
Jana Košecká United States 32 3.2k 0.9× 2.1k 1.2× 392 0.5× 233 0.3× 335 0.6× 101 4.1k
Jens Behley Germany 26 1.6k 0.5× 1.7k 0.9× 281 0.4× 1.2k 1.7× 919 1.7× 90 3.4k
Dingfu Zhou China 22 1.5k 0.4× 667 0.4× 364 0.5× 276 0.4× 191 0.4× 57 2.1k

Countries citing papers authored by Xiaozhi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhi Chen. A scholar is included among the top collaborators of Xiaozhi 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 Xiaozhi Chen. Xiaozhi Chen 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.
Tang, Zijian, Weizhong Tang, Xiaozhi Chen, et al.. (2025). Tailoring the tribological performance of SPEEK by sulfonation degree under water lubrication. Composites Communications. 54. 102285–102285. 1 indexed citations
2.
Mo, Chunshao, et al.. (2024). Carbon fiber/nano SiO2 reinforced polyelectrolyte-graft UHMWPE for water lubricated superlubricity. Tribology International. 202. 110303–110303. 10 indexed citations
3.
Cheng, Junda, et al.. (2024). Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving. 10138–10147. 7 indexed citations
4.
5.
Wang, Pengfei, Zhigang Zhao, Yan Song, et al.. (2024). Overpressure origin and evolution during burial in the shale gas plays of the Wufeng-Longmaxi formations of southern Sichuan basin. Geoenergy Science and Engineering. 236. 212729–212729. 10 indexed citations
6.
Mo, Chunshao, et al.. (2024). Boosting UHMWPE Self-Lubricating Performance via Embedding Porous Cobalt-Based Zeolitic Imidazolate Framework Oil-Nanocontainers. ACS Applied Engineering Materials. 2(3). 747–752. 1 indexed citations
7.
Li, Peiliang, et al.. (2023). You Only Label Once: 3D Box Adaptation From Point Cloud to Image With Semi-Supervised Learning. IEEE Robotics and Automation Letters. 8(10). 6811–6818. 1 indexed citations
8.
Li, Peiliang, et al.. (2023). Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2796–2802. 2 indexed citations
9.
Li, Peiliang, et al.. (2022). Temporal Point Cloud Completion With Pose Disturbance. IEEE Robotics and Automation Letters. 7(2). 4165–4172. 13 indexed citations
10.
Lian, Qing, Peiliang Li, & Xiaozhi Chen. (2022). MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1060–1069. 50 indexed citations
11.
Ye, Qi, et al.. (2021). Geometry-based Distance Decomposition for Monocular 3D Object Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15152–15161. 101 indexed citations
12.
Peng, Juan, et al.. (2021). Removal of levofloxacin by an oleaginous microalgae Chromochloris zofingiensis in the heterotrophic mode of cultivation: Removal performance and mechanism. Journal of Hazardous Materials. 425. 128036–128036. 44 indexed citations
13.
Chen, Xiaozhi, Huimin Ma, Ji Wan, Bo Li, & Tian Xia. (2017). Multi-view 3D Object Detection Network for Autonomous Driving. 6526–6534. 2044 indexed citations breakdown →
14.
Wang, Xiang, Huimin Ma, Xiaozhi Chen, & Shaodi You. (2017). Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection. IEEE Transactions on Image Processing. 27(1). 121–134. 86 indexed citations
15.
Chen, Xiaozhi, Kaustav Kundu, Ziyu Zhang, et al.. (2016). Monocular 3D Object Detection for Autonomous Driving. 2147–2156. 641 indexed citations breakdown →
16.
Chen, Xiaozhi, et al.. (2016). Boundary-aware box refinement for object proposal generation. Neurocomputing. 219. 323–332. 13 indexed citations
17.
Chen, Xiaozhi, Kaustav Kundu, Yukun Zhu, et al.. (2015). 3D object proposals for accurate object class detection. Neural Information Processing Systems. 28. 424–432. 426 indexed citations breakdown →
18.
Chen, Xiaozhi, et al.. (2014). Geological Evaluation Prediction of Favorable Exploration Zones of TMS Shale Oil in North America. Zhongguo shiyou kantan. 19(2). 77–84. 4 indexed citations
19.
Chen, Xiaozhi. (2012). STRUCTURE FEATURES AND THEIR CONTROLS ON OIL IN SONGLIAO BASIN'S WESTERN SLOPE. Resources and Industries. 1 indexed citations
20.
Chen, Xiaozhi. (2010). Hydrocarbon accumulation characteristics of the Neogene reservoirs in Huatugou Oilfield of Qaidam Basin. Acta Petrologica Sinica. 2 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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