Qing Rao

514 total citations
12 papers, 324 citations indexed

About

Qing Rao is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Qing Rao has authored 12 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 3 papers in Aerospace Engineering. Recurrent topics in Qing Rao's work include Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Qing Rao is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). Qing Rao collaborates with scholars based in Germany, United States and China. Qing Rao's co-authors include Samarjit Chakraborty, Markus Braun, Fabian B. Flohr, Yikang Wang, Wenming Yang, Xinpeng Li, Shuaicheng Liu, Jian Sun, Haoqiang Fan and Sebastian Schmidt and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Multimedia Systems and mediaTUM (Technical University of Munich).

In The Last Decade

Qing Rao

12 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Rao Germany	9	191	77	59	39	30	12	324
Jinlong Li China	9	258 1.4×	142 1.8×	95 1.6×	15 0.4×	40 1.3×	35	447
Carmadi Machbub Indonesia	10	167 0.9×	95 1.2×	54 0.9×	25 0.6×	33 1.1×	82	407
Joel Janai Germany	5	261 1.4×	128 1.7×	107 1.8×	18 0.5×	48 1.6×	5	449
Alexandrina Rogozan France	13	277 1.5×	150 1.9×	55 0.9×	86 2.2×	92 3.1×	46	522
Ruijie Quan China	11	468 2.5×	126 1.6×	77 1.3×	70 1.8×	14 0.5×	24	614
Yiqi Zhong China	8	261 1.4×	122 1.6×	100 1.7×	33 0.8×	87 2.9×	12	459
Yassin Kortli Tunisia	7	366 1.9×	79 1.0×	91 1.5×	130 3.3×	14 0.5×	12	523
Stephen Karungaru Japan	11	209 1.1×	42 0.5×	17 0.3×	38 1.0×	29 1.0×	85	348
Stefano Alletto Italy	9	248 1.3×	50 0.6×	42 0.7×	30 0.8×	22 0.7×	18	451
Kuo-Chin Fan Taiwan	10	346 1.8×	82 1.1×	148 2.5×	44 1.1×	12 0.4×	26	444

Countries citing papers authored by Qing Rao

Since Specialization

Citations

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

Fields of papers citing papers by Qing Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Rao

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

12 of 12 papers shown

1.

Li, Xinpeng, et al.. (2021). ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging. 463–470. 65 indexed citations

2.

Rao, Qing & Samarjit Chakraborty. (2020). In-Vehicle Object-Level 3D Reconstruction of Traffic Scenes. IEEE Transactions on Intelligent Transportation Systems. 22(12). 7747–7759. 10 indexed citations

3.

Rao, Qing, et al.. (2020). Lidar-based Deep Neural Network for Reference Lane Generation. 11 indexed citations

4.

Schmidt, Sebastian, et al.. (2020). Advanced Active Learning Strategies for Object Detection. mediaTUM (Technical University of Munich). 871–876. 18 indexed citations

5.

Rao, Qing, et al.. (2019). Occupancy Grids Generation Using Deep Radar Network for Autonomous Driving. 2866–2871. 8 indexed citations

6.

Rao, Qing & Samarjit Chakraborty. (2019). Efficient lossless compression for depth information in traffic scenarios. Multimedia Systems. 25(4). 293–306. 2 indexed citations

7.

Rao, Qing, et al.. (2018). Deep learning for self-driving cars. 35–38. 116 indexed citations

8.

Braun, Markus, Qing Rao, Yikang Wang, & Fabian B. Flohr. (2016). Pose-RCNN: Joint object detection and pose estimation using 3D object proposals. 1546–1551. 40 indexed citations

9.

Rao, Qing, et al.. (2016). Monocular 3D shape reconstruction using deep neural networks. 6. 310–315. 2 indexed citations

10.

Rao, Qing, et al.. (2014). AR-IVI — Implementation of In-Vehicle Augmented Reality. 3–8. 8 indexed citations

11.

Rao, Qing, et al.. (2014). Design Methods for Augmented Reality In-Vehicle Infotainment Systems. 971. 1–6. 14 indexed citations

12.

Yang, Wenming, et al.. (2011). Personal Identification for Single Sample Using Finger Vein Location and Direction Coding. 1–6. 30 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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