Li Tang
- Geology top 5%
- 3D Surveying and Cultural Heritage 6
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- Advanced Image and Video Retrieval Techniques 9
- Robotic Path Planning Algorithms 7
- Advanced Vision and Imaging 6
- Advanced Neural Network Applications 5
- Ophthalmology top 5%
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 20
- Instrumentation top 10%
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- Indoor and Outdoor Localization Technologies 6
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- Remote Sensing and LiDAR Applications 3
- Co-authors
- Rong XiongYue WangXiaqing DingHuan YinMona K. GarvinMichael D. AbràmoffMeindert NiemeijerJoseph M. Reinhardt
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Genome Research (1 paper)IEEE Transactions on Medical Imaging (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Li Tang
42 papers receiving 777 citations
Peers
Comparison fields: 5 of 77
- Geology 121
- Computer Vision and Pattern Recognition 433
- Ophthalmology 174
- Aerospace Engineering 388
- Instrumentation 41
Countries citing papers authored by Li Tang
This map shows the geographic impact of Li Tang'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 Li Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Tang more than expected).
Fields of papers citing papers by Li Tang
This network shows the impact of papers produced by Li Tang. 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 Li Tang. The network helps show where Li Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Tang, 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 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 24 | |
| 12 | 2019 | 51 | |
| 13 | 2019 | 78 | |
| 14 | LocNet: Global localization in 3D point clouds for mobile robots. | 2017 | 3 |
| 15 | Single Multi-feature detector for Amodal 3D Object Detection in RGB-D Images. | 2017 | 1 |
| 16 | 2012 | 140 | |
| 17 | 2011 | 33 | |
| 18 | Automated Method for the Flattening of Optical Coherence Tomography Images | 2010 | 1 |
| 19 | 2010 | 16 | |
| 20 | 2002 | 11 |
About Li Tang
Li Tang is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 44 papers that have together received 822 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (9 papers), Robotic Path Planning Algorithms (7 papers), 3D Surveying and Cultural Heritage (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Advanced Vision and Imaging (6 papers), Advanced Neural Network Applications (5 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Geology (121 citations), Computer Vision and Pattern Recognition (433 citations) and Ophthalmology (174 citations). Li Tang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rong Xiong, Yue Wang, Xiaqing Ding, Huan Yin, Mona K. Garvin, Michael D. Abràmoff, Meindert Niemeijer, Joseph M. Reinhardt, Shoudong Huang and Chengke Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Genome Research and IEEE Transactions on Medical Imaging.
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.