Yiming Nie

937 total citations · 1 hit paper
45 papers, 586 citations indexed

About

Yiming Nie is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Yiming Nie has authored 45 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 15 papers in Automotive Engineering and 15 papers in Aerospace Engineering. Recurrent topics in Yiming Nie's work include Autonomous Vehicle Technology and Safety (14 papers), Robotics and Sensor-Based Localization (13 papers) and Advanced Neural Network Applications (10 papers). Yiming Nie is often cited by papers focused on Autonomous Vehicle Technology and Safety (14 papers), Robotics and Sensor-Based Localization (13 papers) and Advanced Neural Network Applications (10 papers). Yiming Nie collaborates with scholars based in China, United States and Hong Kong. Yiming Nie's co-authors include Bin Dai, Honggui Li, Gangqiang Yang, Haisen Wang, Erke Shang, Xiao Liang, Dawei Zhao, Liang Xiao, Jiaolong Xu and Dawei Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and International Journal of Production Economics.

In The Last Decade

Yiming Nie

41 papers receiving 564 citations

Hit Papers

Digital transformation and low-carbon technology innovati... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiming Nie China 11 300 148 121 105 69 45 586
Zhaoyang Lu China 16 481 1.6× 49 0.3× 61 0.5× 49 0.5× 26 0.4× 71 843
Xiaoqiang Zhang China 14 102 0.3× 99 0.7× 55 0.5× 47 0.4× 27 0.4× 75 710
Juntao Li China 10 158 0.5× 37 0.3× 54 0.4× 63 0.6× 19 0.3× 54 543
Dimitrios V. Lyridis Greece 12 127 0.4× 31 0.2× 67 0.6× 34 0.3× 27 0.4× 49 492
Mario Marinelli Italy 13 52 0.2× 175 1.2× 146 1.2× 58 0.6× 73 1.1× 31 636
Salman Raza China 16 83 0.3× 64 0.4× 111 0.9× 30 0.3× 100 1.4× 33 987
Mauro Dell’Orco Italy 15 48 0.2× 114 0.8× 150 1.2× 148 1.4× 23 0.3× 41 595
Gerardo J. Osório Portugal 25 54 0.2× 360 2.4× 82 0.7× 511 4.9× 36 0.5× 107 1.9k
Kien Nguyen Japan 19 61 0.2× 96 0.6× 86 0.7× 50 0.5× 6 0.1× 170 1.6k

Countries citing papers authored by Yiming Nie

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Nie. A scholar is included among the top collaborators of Yiming Nie 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 Yiming Nie. Yiming Nie 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.
Xiao, Liang, et al.. (2025). Contrastive Label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments. IEEE Transactions on Intelligent Transportation Systems. 26(12). 22830–22842. 1 indexed citations
2.
Nie, Yiming, et al.. (2025). A survey on deep learning-based lidar place recognition. SHILAP Revista de lepidopterología.
3.
Xiao, Liang, et al.. (2025). Aerial-Ground Cross-View Vehicle Re-Identification: A Benchmark Dataset and Baseline. Remote Sensing. 17(15). 2653–2653.
4.
Xiao, Liang, et al.. (2025). R2SCAT-LPR: Rotation-Robust Network with Self- and Cross-Attention Transformers for LiDAR-Based Place Recognition. Remote Sensing. 17(6). 1057–1057. 1 indexed citations
5.
Li, Xiang, et al.. (2024). Robust Lateral and Longitudinal Control for Vehicle Platoons With Unknown Interaction Topology Subject to Multiple Communication Delays. IEEE Transactions on Intelligent Vehicles. 9(10). 6270–6283. 5 indexed citations
6.
Li, Fuyang, et al.. (2024). Pre-pruned Distillation for Point Cloud-based 3D Object Detection. 3192–3198. 2 indexed citations
7.
Xiao, Liang, et al.. (2024). Multi-Camera Unified Pre-Training via 3D Scene Reconstruction. IEEE Robotics and Automation Letters. 9(4). 3243–3250. 14 indexed citations
8.
Xiao, Liang, et al.. (2024). MT-SSD: Single-Stage 3D Object Detector Based on Magnification Transformation. IEEE Transactions on Intelligent Vehicles. 1–11. 3 indexed citations
9.
Nie, Yiming, et al.. (2024). InternDrive: A Multimodal Large Language Model for Autonomous Driving Scenario Understanding. 294–305. 1 indexed citations
10.
Huang, Yulong, et al.. (2024). ROSE: Covisibility Region Aware 3D-LiDAR SLAM Based on Generative Road Surface Model and Long-Term Association. IEEE Transactions on Aerospace and Electronic Systems. 60(6). 7785–7803. 2 indexed citations
11.
Ru, Yi, et al.. (2024). Securing Autonomous Vehicles Visual Perception: Adversarial Patch Attack and Defense Schemes With Experimental Validations. IEEE Transactions on Intelligent Vehicles. 9(12). 7865–7875. 3 indexed citations
12.
Nie, Yiming, Yang Shen, Yan Yang, et al.. (2024). A multifunctional tannic acid binder for 5.0 V LiNi0.5Mn1.5O4 electrodes and its interfacial characterization. Materials Today Communications. 39. 109008–109008.
13.
Wang, Xu, Bin Dai, Qiguang Miao, Yiming Nie, & Erke Shang. (2024). An Efficient Deep Reinforcement Learning-Based Car-Following Method via Rule-Constrained Data Augmentation. IEEE Transactions on Intelligent Vehicles. 9(10). 6381–6393. 2 indexed citations
14.
Liang, Xiao, Jian Zhao, Xinli Xu, et al.. (2024). DriveWorld: 4D Pre-Trained Scene Understanding via World Models for Autonomous Driving. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 15522–15533. 8 indexed citations
15.
Yang, Gangqiang, Yiming Nie, Honggui Li, & Haisen Wang. (2023). Digital transformation and low-carbon technology innovation in manufacturing firms: The mediating role of dynamic capabilities. International Journal of Production Economics. 263. 108969–108969. 126 indexed citations breakdown →
16.
Wang, Xu, Erke Shang, Bin Dai, Qiguang Miao, & Yiming Nie. (2023). Deep Reinforcement Learning-Based Off-Road Path Planning via Low-Dimensional Simulation. IEEE Transactions on Intelligent Vehicles. 9(9). 5543–5553. 9 indexed citations
17.
Xiao, Liang, et al.. (2023). Occupancy-MAE: Self-Supervised Pre-Training Large-Scale LiDAR Point Clouds With Masked Occupancy Autoencoders. IEEE Transactions on Intelligent Vehicles. 9(7). 5150–5162. 28 indexed citations
18.
Xiao, Liang, Qi Zhu, Tongtong Chen, et al.. (2023). Fast All-day 3D Object Detection Based on Multi-sensor Fusion. 28. 71–73. 1 indexed citations
19.
Huang, Yulong, et al.. (2022). TOM-Odometry: A Generalized Localization Framework Based on Topological Map and Odometry. IEEE Transactions on Aerospace and Electronic Systems. 59(3). 2713–2732. 8 indexed citations
20.
Nie, Yiming, et al.. (2022). Multi-UAVs Targets Search Based on Distributed Cooperative Heuristic Algorithm. 40. 6655–6661. 1 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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