Mingtao Feng
- Geology top 5%
- 3D Surveying and Cultural Heritage 9
-
- Advanced Neural Network Applications 11
- Multimodal Machine Learning Applications 8
- Human Pose and Action Recognition 8
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis 12
- Environmental Engineering top 10%
-
- Robotics and Sensor-Based Localization 9
-
- Robot Manipulation and Learning 6
-
- Reinforcement Learning in Robotics 6
- Co-authors
- Ajmal MianYaonan WangLiang ZhangSyed Zulqarnain GilaniC.J. HarrisZhiqiang MiaoHongshan YuHesheng Wang
In The Last Decade
Mingtao Feng
53 papers receiving 874 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Geology 153
- Computer Vision and Pattern Recognition 461
- Computer Graphics and Computer-Aided Design 40
- Computational Mechanics 169
- Environmental Engineering 114
Countries citing papers authored by Mingtao Feng
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
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
The 25 scholars most cited alongside Mingtao Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | History-Enhanced 3D Scene Graph Reasoning From RGB-D Sequencesbreakdown → | 2025 | 16 |
| 3 | Pixel-Level Noise Mining for Weakly Supervised Salient Object Detectionbreakdown → | 2025 | 23 |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | Hyperrectangle Embedding for Debiased 3D Scene Graph Prediction From RGB Sequencesbreakdown → | 2025 | 20 |
| 7 | 2025 | 0 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 11 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2023 | 39 | |
| 18 | 2021 | 46 | |
| 19 | 2020 | 61 | |
| 20 | 2020 | 138 |
About Mingtao Feng
Mingtao Feng is a scholar working on Computer Vision and Pattern Recognition, Geology, Computer Graphics and Computer-Aided Design, Computational Mechanics and Control and Systems Engineering, having authored 63 papers that have together received 909 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (12 papers), Advanced Neural Network Applications (11 papers), 3D Surveying and Cultural Heritage (9 papers), Robotics and Sensor-Based Localization (9 papers), Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (8 papers), Robot Manipulation and Learning (6 papers) and Reinforcement Learning in Robotics (6 papers). The work is most often cited by research in Geology (153 citations), Computer Vision and Pattern Recognition (461 citations), Computer Graphics and Computer-Aided Design (40 citations), Computational Mechanics (169 citations) and Environmental Engineering (114 citations). Mingtao Feng has collaborated with scholars based in China, Australia and Singapore. Frequent 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. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Industrial Informatics, IEEE Transactions on Image Processing and International Journal of Systems Science.
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.