Ruofei Zhong

2.9k total citations · 2 hit papers
123 papers, 2.2k citations indexed

About

Ruofei Zhong is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruofei Zhong has authored 123 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Environmental Engineering, 59 papers in Geology and 39 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruofei Zhong's work include Remote Sensing and LiDAR Applications (67 papers), 3D Surveying and Cultural Heritage (59 papers) and Robotics and Sensor-Based Localization (25 papers). Ruofei Zhong is often cited by papers focused on Remote Sensing and LiDAR Applications (67 papers), 3D Surveying and Cultural Heritage (59 papers) and Robotics and Sensor-Based Localization (25 papers). Ruofei Zhong collaborates with scholars based in China, United States and Hong Kong. Ruofei Zhong's co-authors include Qingyang Li, Qingyang Li, Zhen Li, Xueli Peng, Yu Du, Xin Du, Haili Sun, Liming Du, Huili Gong and Zhenxin Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Ruofei Zhong

117 papers receiving 2.2k citations

Hit Papers

Optical Remote Sensing Image Change Detection Based on At... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruofei Zhong China 23 858 650 639 522 492 123 2.2k
Rongjun Qin United States 28 1.1k 1.3× 643 1.0× 752 1.2× 588 1.1× 738 1.5× 122 2.8k
Lingfei Ma China 22 835 1.0× 593 0.9× 363 0.6× 216 0.4× 592 1.2× 75 2.0k
Alexandre Boulch France 20 702 0.8× 628 1.0× 726 1.1× 316 0.6× 660 1.3× 46 2.1k
Uwe Soergel Germany 26 1.5k 1.8× 826 1.3× 659 1.0× 533 1.0× 424 0.9× 143 2.7k
Jixian Zhang China 22 986 1.1× 666 1.0× 239 0.4× 405 0.8× 305 0.6× 109 1.9k
Wei Yao China 30 1.7k 2.0× 871 1.3× 444 0.7× 583 1.1× 775 1.6× 149 2.8k
Farhad Samadzadegan Iran 27 486 0.6× 220 0.3× 776 1.2× 329 0.6× 460 0.9× 128 1.9k
Chunsun Zhang Australia 16 813 0.9× 384 0.6× 285 0.4× 450 0.9× 223 0.5× 37 1.4k
Ben Gorte Netherlands 26 1.3k 1.5× 605 0.9× 237 0.4× 698 1.3× 293 0.6× 92 2.3k
Ahmed Shaker Canada 24 1.3k 1.5× 607 0.9× 278 0.4× 709 1.4× 208 0.4× 81 2.0k

Countries citing papers authored by Ruofei Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Ruofei Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruofei Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Ruofei Zhong. A scholar is included among the top collaborators of Ruofei Zhong 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 Ruofei Zhong. Ruofei Zhong 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.
Wu, Hai, et al.. (2025). Fade3D: Fast and Deployable 3D Object Detection for Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 26(9). 12934–12946.
2.
Wang, Yu-Hsing, et al.. (2025). Study on the characteristics of vibration acoustic signals and rupture grading for reactor pipeline leaks. Annals of Nuclear Energy. 222. 111565–111565. 1 indexed citations
3.
Zhong, Ruofei, et al.. (2025). Li-GS: a fast 3D Gaussian reconstruction method assisted by LiDAR point clouds. Big Earth Data. 1–25. 1 indexed citations
4.
Ma, Hao, et al.. (2024). A high-accuracy multi-temporal laser point cloud registration method for providing a detailed expression of the urban environment. Sustainable Cities and Society. 101. 105186–105186. 1 indexed citations
5.
6.
Wu, Weitong, Jianping Li, Chi Chen, et al.. (2023). AFLI-Calib: Robust LiDAR-IMU extrinsic self-calibration based on adaptive frame length LiDAR odometry. ISPRS Journal of Photogrammetry and Remote Sensing. 199. 157–181. 18 indexed citations
7.
Huang, Jiahao, et al.. (2023). A method for accurately extracting power lines and identifying potential intrusion risks from urban laser scanning data. Optics and Lasers in Engineering. 174. 107987–107987. 4 indexed citations
8.
Tang, Jie, et al.. (2023). Extracting Traffic Signage by Combining Point Clouds and Images. Sensors. 23(4). 2262–2262. 3 indexed citations
9.
Zhong, Ruofei, et al.. (2023). MFGFNet: A Multi-Scale Remote Sensing Change Detection Network Using the Global Filter in the Frequency Domain. Remote Sensing. 15(6). 1682–1682. 10 indexed citations
10.
Zhong, Ruofei, et al.. (2021). An Interband Registration Method for Hyperspectral Images Based on Adaptive Iterative Clustering. Remote Sensing. 13(8). 1491–1491. 5 indexed citations
11.
Zhong, Ruofei, et al.. (2021). Research on Monitoring Method of Remote Deformation and System Application Based on Image. Advances in Civil Engineering. 2021(1). 1 indexed citations
12.
Sun, Haili, et al.. (2020). Tunnel Monitoring and Measuring System Using Mobile Laser Scanning: Design and Deployment. Remote Sensing. 12(4). 730–730. 58 indexed citations
13.
Chen, Siyun, et al.. (2020). A Dense Feature Pyramid Network-Based Deep Learning Model for Road Marking Instance Segmentation Using MLS Point Clouds. IEEE Transactions on Geoscience and Remote Sensing. 59(1). 784–800. 36 indexed citations
14.
Zhang, Ke, et al.. (2020). High-Efficiency Microsatellite-Using Super-Resolution Algorithm Based on the Multi-Modality Super-CMOS Sensor. Sensors. 20(14). 4019–4019. 5 indexed citations
15.
Hu, Han, Yulin Ding, Qing Zhu, et al.. (2019). Precision global DEM generation based on adaptive surface filter and Poisson terrain editing. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Zhong, Ruofei, et al.. (2018). External Parameter Calibration Method of Vehicle Laser Scanning System Based on Planar Features. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Zhong, Ruofei, et al.. (2014). Vehicle panoramic image matching based on epipolar geometry and space forward intersection. National Remote Sensing Bulletin. 18(6). 1230–1236. 2 indexed citations
18.
Zhong, Ruofei. (2012). An Efficient Management Method for Point Cloud Data Based on Octree and 3D R-tree. Acta Geodaetica et Cartographica Sinica. 4 indexed citations
19.
Zhong, Ruofei. (2010). The Calibration of the Line Scan Camera Based on Laser Scanner. Acta Geodaetica et Cartographica Sinica. 2 indexed citations
20.
Zhong, Ruofei. (2007). Positioning and orientation computation on vehicle-borne SINS and discuss of calculation error. Journal of Chinese Inertial Technology.

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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