Lantao Liu
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Aerospace Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Dylan A. ShellGaurav S. SukhatmeIhab S. MohamedWeizhe ChenTong WenNathan MichaelHordur HeidarssonHuaihe Song
- Topics
- Robotic Path Planning Algorithms (27 papers)Robotics and Sensor-Based Localization (17 papers)Optimization and Search Problems (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsAerospace Engineering
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lantao Liu
83 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 335
- Electrical and Electronic Engineering 240
- Computer Networks and Communications 238
- Aerospace Engineering 217
- Artificial Intelligence 194
Countries citing papers authored by Lantao Liu
This map shows the geographic impact of Lantao Liu'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 Lantao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lantao Liu more than expected).
Fields of papers citing papers by Lantao Liu
This network shows the impact of papers produced by Lantao Liu. 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 Lantao Liu. The network helps show where Lantao Liu may publish in the future.
Co-authorship network of co-authors of Lantao Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Lantao Liu. A scholar is included among the top collaborators of Lantao Liu 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 Lantao Liu. Lantao Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 20 | |
| 13 | 22 | |
| 14 | 4 | |
| 15 | AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. | 4 |
| 16 | 6 | |
| 17 | 11 | |
| 18 | 61 | |
| 19 | Design and test of near infrared detector for grain component based on virtual instrument. | 2 |
| 20 | Analysis of Water Environmental Organic Pollution Load and Its Capacity in Xianyang Section of Weihe River | 4 |
About Lantao Liu
Lantao Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (27 papers), Robotics and Sensor-Based Localization (17 papers) and Optimization and Search Problems (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (335 citations), Computer Networks and Communications (238 citations) and Aerospace Engineering (217 citations). Lantao Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dylan A. Shell, Gaurav S. Sukhatme, Ihab S. Mohamed, Weizhe Chen, Tong Wen, Nathan Michael, Hordur Heidarsson, Huaihe Song, Chen Yang and Abualkasim Bakeer. Their work appears in journals such as Environmental Science & Technology, Journal of Power Sources and Chemical Engineering Journal.
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.