Lingfei Ma

3.1k total citations · 2 hit papers
75 papers, 2.0k citations indexed

About

Lingfei Ma is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lingfei Ma has authored 75 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Environmental Engineering, 21 papers in Geology and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lingfei Ma's work include Remote Sensing and LiDAR Applications (35 papers), 3D Surveying and Cultural Heritage (21 papers) and Automated Road and Building Extraction (12 papers). Lingfei Ma is often cited by papers focused on Remote Sensing and LiDAR Applications (35 papers), 3D Surveying and Cultural Heritage (21 papers) and Automated Road and Building Extraction (12 papers). Lingfei Ma collaborates with scholars based in China, Canada and Brazil. Lingfei Ma's co-authors include Jonathan Li, Ying Li, Zilong Zhong, Michael A. Chapman, Dongpu Cao, Fei Liu, Yongtao Yu, Cheng Wang, Wei‐Shi Zheng and Ruisheng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Lingfei Ma

67 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

2020 377 citations Ying Li, Lingfei Ma et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Spectral–Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework

2021 168 citations Zilong Zhong, Ying Li et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lingfei Ma China	22	835	593	592	363	329	75	2.0k
Ruisheng Wang Canada	28	1.3k 1.6×	1.1k 1.8×	634 1.1×	269 0.7×	171 0.5×	122	2.6k
Ruofei Zhong China	23	858 1.0×	650 1.1×	492 0.8×	639 1.8×	116 0.4×	123	2.2k
Wei Yao China	30	1.7k 2.0×	871 1.5×	775 1.3×	444 1.2×	216 0.7×	149	2.8k
Dong Chen China	23	930 1.1×	755 1.3×	294 0.5×	137 0.4×	178 0.5×	130	1.8k
Hanyun Wang China	20	1.1k 1.3×	1.0k 1.7×	930 1.6×	210 0.6×	861 2.6×	68	2.5k
Yusheng Xu China	30	1.1k 1.4×	1.2k 2.1×	656 1.1×	204 0.6×	386 1.2×	118	2.6k
Alexandre Boulch France	20	702 0.8×	628 1.1×	660 1.1×	726 2.0×	556 1.7×	46	2.1k
Nicolas Paparoditis France	19	727 0.9×	487 0.8×	467 0.8×	223 0.6×	86 0.3×	76	1.4k
Yongtao Yu China	34	2.3k 2.7×	1.5k 2.5×	1.0k 1.7×	496 1.4×	340 1.0×	139	3.8k
Mohammad Awrangjeb Australia	24	1.3k 1.6×	928 1.6×	600 1.0×	337 0.9×	72 0.2×	104	2.1k

Countries citing papers authored by Lingfei Ma

Since Specialization

Citations

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

Fields of papers citing papers by Lingfei Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingfei Ma

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

All Works

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20 of 20 papers shown

Chen, Ke, et al.. (2025). GreenNet: A dual-encoder network for urban green space classification using high-resolution remotely sensed images. International Journal of Applied Earth Observation and Geoinformation. 142. 104709–104709. 1 indexed citations

Li, Jingxiang, et al.. (2025). Point-SCT: A Multiscale Spatial Convolution-Swin Transformer Network for Point Cloud Ground Filtering in Complex Mountainous Terrains. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 1 indexed citations

Zhang, D. H., et al.. (2025). “Pilot” to “Embodier”: Brain-Controlled Robotic Arm With the E-VEP Paradigm in 3-D Manufacturing Scenarios for IoT. IEEE Internet of Things Journal. 12(11). 17210–17222.

Guan, Haiyan, Lingfei Ma, Jiacheng Liu, et al.. (2024). DAAL-WS: A weakly-supervised method integrated with data augmentation and active learning strategies for MLS point cloud semantic segmentation. International Journal of Applied Earth Observation and Geoinformation. 131. 103970–103970. 2 indexed citations

Liu, Bin, Jian Kang, Haiyan Guan, et al.. (2024). RTCNet: A novel real-time triple branch network for pavement crack semantic segmentation. International Journal of Applied Earth Observation and Geoinformation. 136. 104347–104347. 1 indexed citations

Ma, Lingfei, Yiping Chen, Haiyan Guan, et al.. (2024). Crack-U²Net: Multiscale Feature Learning Network for Pavement Crack Detection From Large-Scale MLS Point Clouds. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17952–17964. 7 indexed citations

Zhang, D. H., Qiming Chen, Lingfei Ma, et al.. (2024). Remote-Oriented Brain-Controlled Unmanned Aerial Vehicle for IoT. IEEE Internet of Things Journal. 11(17). 29202–29214. 4 indexed citations

Chen, Yiping, Jun Chen, Cheng Wang, et al.. (2024). A Survey of Point Cloud Completion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 5691–5711. 10 indexed citations

Zhang, D. H., Ziyu Liu, Qiming Chen, et al.. (2024). Brain-Controlled Hand Exoskeleton Based on Augmented Reality-Fused Stimulus Paradigm. IEEE Journal of Biomedical and Health Informatics. 29(4). 2932–2944. 1 indexed citations

10.

Qin, Nannan, et al.. (2023). Deep learning for filtering the ground from ALS point clouds: A dataset, evaluations and issues. ISPRS Journal of Photogrammetry and Remote Sensing. 202. 246–261. 20 indexed citations

11.

Ma, Lingfei, et al.. (2023). SCL-GCN: Stratified Contrastive Learning Graph Convolution Network for pavement crack detection from mobile LiDAR point clouds. International Journal of Applied Earth Observation and Geoinformation. 118. 103248–103248. 17 indexed citations

12.

Ma, Lingfei, et al.. (2023). An Overlap-Free Calibration Method for LiDAR-Camera Platforms Based on Environmental Perception. IEEE Transactions on Instrumentation and Measurement. 72. 1–7. 9 indexed citations

13.

Martins, José Augusto Correa, Wesley Nunes Gonçalves, Lucas Prado Osco, et al.. (2021). Machine learning and SLIC for Tree Canopies segmentation in urban areas. Ecological Informatics. 66. 101465–101465. 16 indexed citations

14.

Na, Jiaming, et al.. (2021). Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China. ISPRS International Journal of Geo-Information. 10(5). 308–308. 4 indexed citations

15.

Ma, Lingfei, Ying Li, Jonathan Li, et al.. (2021). BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery. IEEE Transactions on Intelligent Transportation Systems. 23(6). 5638–5654. 15 indexed citations

16.

Osco, Lucas Prado, Ana Paula Marques Ramos, Mayara Maezano Faita Pinheiro, et al.. (2020). A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements. Remote Sensing. 12(6). 906–906. 97 indexed citations

17.

Li, Ying, Lingfei Ma, Zilong Zhong, et al.. (2020). Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review. IEEE Transactions on Neural Networks and Learning Systems. 32(8). 3412–3432. 377 indexed citations breakdown →

18.

Chen, Yiping, Shiqian Wang, Jonathan Li, et al.. (2019). Rapid Urban Roadside Tree Inventory Using a Mobile Laser Scanning System. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(9). 3690–3700. 41 indexed citations

19.

Li, Ying, Lingfei Ma, Zilong Zhong, Dongpu Cao, & Jonathan Li. (2019). TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 58(5). 3588–3600. 106 indexed citations

20.

Ma, Lingfei, Ying Li, Jonathan Li, et al.. (2018). Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review. Remote Sensing. 10(10). 1531–1531. 176 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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