Yingying Ran

417 total citations · 1 hit paper
11 papers, 267 citations indexed

About

Yingying Ran is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Yingying Ran has authored 11 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Aerospace Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Yingying Ran's work include Robotics and Sensor-Based Localization (7 papers), Indoor and Outdoor Localization Technologies (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Yingying Ran is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Indoor and Outdoor Localization Technologies (3 papers) and Remote Sensing and LiDAR Applications (3 papers). Yingying Ran collaborates with scholars based in China. Yingying Ran's co-authors include Xiaobin Xu, Zhiying Tan, Minzhou Luo, Lei Zhang, Jian Yang, Wen Wang, Jian Yang, Changyun Wei, Jialin Wu and Jiali Wang and has published in prestigious journals such as Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Yingying Ran

9 papers receiving 259 citations

Hit Papers

A Review of Multi-Sensor Fusion SLAM Systems Based on 3D ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingying Ran China 6 159 105 62 52 51 11 267
Janusz Będkowski Poland 8 162 1.0× 129 1.2× 30 0.5× 69 1.3× 49 1.0× 51 271
David J. Yoon Canada 10 208 1.3× 102 1.0× 69 1.1× 30 0.6× 51 1.0× 13 304
Julian Ryde United States 10 209 1.3× 191 1.8× 48 0.8× 69 1.3× 56 1.1× 25 355
Lukas Bernreiter Switzerland 7 169 1.1× 130 1.2× 33 0.5× 40 0.8× 28 0.5× 11 260
Mohammad Aldibaja Japan 11 180 1.1× 197 1.9× 72 1.2× 36 0.7× 106 2.1× 31 438
Matteo Palieri United States 4 247 1.6× 160 1.5× 66 1.1× 82 1.6× 40 0.8× 8 303
Mingxing Wen Singapore 12 281 1.8× 208 2.0× 82 1.3× 35 0.7× 29 0.6× 39 363
Fanze Kong Hong Kong 11 289 1.8× 198 1.9× 32 0.5× 86 1.7× 77 1.5× 19 368
Ian Baldwin United Kingdom 4 304 1.9× 241 2.3× 60 1.0× 62 1.2× 61 1.2× 5 380

Countries citing papers authored by Yingying Ran

Since Specialization
Citations

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

Fields of papers citing papers by Yingying Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingying Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Yingying Ran. A scholar is included among the top collaborators of Yingying Ran 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 Yingying Ran. Yingying Ran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ran, Yingying, Xiaobin Xu, Zhiying Tan, & Minzhou Luo. (2025). A Review of 2D Lidar SLAM Research. Remote Sensing. 17(7). 1214–1214.
2.
Xu, Xiaobin, et al.. (2024). A Fish Detection and Tracking Method Based on Improved Interframe Difference and YOLO-CTS. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations
3.
Xu, Xiaobin, Lei Zhang, Jian Yang, et al.. (2024). Detection-first tightly-coupled LiDAR-Visual-Inertial SLAM in dynamic environments. Measurement. 239. 115506–115506. 4 indexed citations
4.
Xu, Xiaobin, et al.. (2023). Polarized laser target detection system for smoky environment based on full-waveform decomposition and multiscale convolutional neural networks with attention. ISPRS Journal of Photogrammetry and Remote Sensing. 199. 214–225. 9 indexed citations
5.
Xu, Xiaobin, et al.. (2023). A Novel Calibration Method for Robot Kinematic Parameters Based on Improved Manta Ray Foraging Optimization Algorithm. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 26 indexed citations
6.
Ran, Yingying, et al.. (2023). Scene Classification Method based on CNN. 312–315.
7.
Xu, Xiaobin, et al.. (2023). Full-waveform LiDAR echo decomposition method based on deep learning and sparrow search algorithm. Infrared Physics & Technology. 130. 104613–104613. 4 indexed citations
9.
Xu, Xiaobin, Lei Zhang, Jian Yang, et al.. (2022). A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR. Remote Sensing. 14(12). 2835–2835. 180 indexed citations breakdown →
10.
Xu, Xiaobin, Yingying Ran, Lei Zhang, et al.. (2021). An Indoor Mobile Robot Positioning Algorithm Based on Adaptive Federated Kalman Filter. IEEE Sensors Journal. 21(20). 23098–23107. 28 indexed citations
11.
Xu, Xiaobin, et al.. (2021). Design of 2D LiDAR and camera fusion system improved by differential evolutionary PID with nonlinear tracking compensator. Infrared Physics & Technology. 116. 103776–103776. 8 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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