Mingtao Feng

1.5k total citations · 3 hit papers
63 papers, 909 citations indexed

About

Mingtao Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Mingtao Feng has authored 63 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Control and Systems Engineering. Recurrent topics in Mingtao Feng's work include 3D Shape Modeling and Analysis (12 papers), Advanced Neural Network Applications (11 papers) and 3D Surveying and Cultural Heritage (9 papers). Mingtao Feng is often cited by papers focused on 3D Shape Modeling and Analysis (12 papers), Advanced Neural Network Applications (11 papers) and 3D Surveying and Cultural Heritage (9 papers). Mingtao Feng collaborates with scholars based in China, Australia and Singapore. Mingtao Feng's co-authors include Ajmal Mian, Yaonan Wang, Liang Zhang, Syed Zulqarnain Gilani, C.J. Harris, Zhiqiang Miao, Hongshan Yu, Hesheng Wang, Zhen Zhou and Weisheng Dong and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mingtao Feng

53 papers receiving 874 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.

Pixel-Level Noise Mining for Weakly Supervised Salient Object Detection

2025 23 citations Mingtao Feng, Weisheng Dong et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Hyperrectangle Embedding for Debiased 3D Scene Graph Prediction From RGB Sequences

2025 20 citations Mingtao Feng, Weisheng Dong et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
History-Enhanced 3D Scene Graph Reasoning From RGB-D Sequences

2025 16 citations Mingtao Feng, Weisheng Dong et al. IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingtao Feng China	17	461	173	169	153	137	63	909
Julio C. Rodríguez‐Quiñonez Mexico	19	391 0.8×	78 0.5×	464 2.7×	130 0.8×	124 0.9×	107	1.1k
Wendy Flores‐Fuentes Mexico	16	304 0.7×	62 0.4×	322 1.9×	94 0.6×	90 0.7×	102	873
Junhao Xiao China	18	519 1.1×	108 0.6×	60 0.4×	250 1.6×	193 1.4×	85	1.1k
Moisés Rivas-López Mexico	19	271 0.6×	80 0.5×	498 2.9×	98 0.6×	92 0.7×	66	934
Chen-Hsuan Lin United States	10	616 1.3×	67 0.4×	480 2.8×	169 1.1×	96 0.7×	26	983
Jiahao Fan China	13	185 0.4×	237 1.4×	63 0.4×	62 0.4×	100 0.7×	34	619
David Mascareñas United States	22	512 1.1×	58 0.3×	57 0.3×	147 1.0×	115 0.8×	75	1.7k
Viktor Larsson Sweden	20	890 1.9×	70 0.4×	175 1.0×	203 1.3×	107 0.8×	81	1.6k
Bin Fan China	13	513 1.1×	76 0.4×	680 4.0×	563 3.7×	77 0.6×	48	1.2k

Countries citing papers authored by Mingtao Feng

Since Specialization

Citations

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

Fields of papers citing papers by Mingtao Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingtao Feng

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

20 of 20 papers shown

Feng, Mingtao, Weisheng Dong, Jianqiao Luo, et al.. (2025). Locally Aware Visual State Space for Small Defect Segmentation in Complex Component Images. IEEE Transactions on Industrial Informatics. 21(8). 5965–5976.

Feng, Mingtao, et al.. (2025). History-Enhanced 3D Scene Graph Reasoning From RGB-D Sequences. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7667–7682. 16 indexed citations breakdown →

Feng, Mingtao, et al.. (2025). Pixel-Level Noise Mining for Weakly Supervised Salient Object Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 18815–18829. 23 indexed citations breakdown →

Song, Juan, et al.. (2025). Self-supervised contrastive learning for heterophilic graph with latent recurring pattern embedding. Knowledge-Based Systems. 326. 114037–114037. 1 indexed citations

Zhu, Qing, et al.. (2025). RAMPGrasp: Retentive Attention-Based Multiscale Perception Grasp Detection Network. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7981–7990.

Feng, Mingtao, et al.. (2025). Hyperrectangle Embedding for Debiased 3D Scene Graph Prediction From RGB Sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 6410–6426. 20 indexed citations breakdown →

Wang, Yaonan, Mingtao Feng, Hui Zhang, et al.. (2025). CFPGrasp: Coarse-to-Fine Prediction Network for 6-DoF Robotic Grasping With Improved Grasp Representation. IEEE Robotics and Automation Letters. 10(12). 12620–12627.

Zhu, Qing, et al.. (2025). A State Space Model for Multiobject Full 3-D Information Estimation From RGB-D Images. IEEE Transactions on Cybernetics. 55(5). 2248–2260.

Lei, Qi, Shijie Sun, Xiangyu Song, et al.. (2025). Bootstrapping vision–language transformer for monocular 3D visual grounding. IET Image Processing. 19(1). 1 indexed citations

10.

Zhao, Junyang, et al.. (2025). A Fractional-Order SSIM-Based Gaussian Loss with Long-Range Memory for Dense VSLAM. Fractal and Fractional. 9(11). 744–744. 1 indexed citations

11.

Feng, Mingtao, et al.. (2024). Discriminative Correspondence Estimation for Unsupervised RGB-D Point Cloud Registration. IEEE Transactions on Circuits and Systems for Video Technology. 35(2). 1209–1223. 11 indexed citations

12.

Zhu, Qing, et al.. (2024). PoseDiffusion: A Coarse-to-Fine Framework for Unseen Object 6-DoF Pose Estimation. IEEE Transactions on Industrial Informatics. 20(9). 11127–11138. 2 indexed citations

13.

Feng, Mingtao, et al.. (2024). 3D Object Detection From Point Cloud via Voting Step Diffusion. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12142–12157. 4 indexed citations

14.

Wang, Yaonan, et al.. (2024). L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream. UWA Profiles and Research Repository (University of Western Australia). 21146–21156. 1 indexed citations

15.

Song, Juan, Mingtao Feng, Guangming Zhu, et al.. (2023). Position and structure-aware graph learning. Neurocomputing. 556. 126581–126581. 2 indexed citations

16.

Feng, Mingtao, Haoran Hou, Liang Zhang, et al.. (2023). Exploring Hierarchical Spatial Layout Cues for 3D Point Cloud Based Scene Graph Prediction. IEEE Transactions on Multimedia. 27. 731–743. 39 indexed citations

17.

Yuan, Xiaofang, et al.. (2022). A Robust Pixel-Wise Prediction Network With Applications to Industrial Robotic Grasping. IEEE Transactions on Industrial Electronics. 70(8). 8203–8214. 7 indexed citations

18.

Wang, Yaonan, et al.. (2021). Stochastic Joint Alignment of Multiple Point Clouds for Profiled Blades 3-D Reconstruction. IEEE Transactions on Industrial Electronics. 69(2). 1682–1693. 12 indexed citations

19.

Yang, Zhengeng, Hongshan Yu, Mingtao Feng, et al.. (2020). Small Object Augmentation of Urban Scenes for Real-Time Semantic Segmentation. IEEE Transactions on Image Processing. 29. 5175–5190. 61 indexed citations

20.

Feng, Mingtao, et al.. (2020). Point attention network for semantic segmentation of 3D point clouds. Pattern Recognition. 107. 107446–107446. 138 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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