Hao Liu
- Automotive Engineering top 2%
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment 18
-
- Electrocatalysts for Energy Conversion 9
- Biomedical Engineering top 5%
- Soft Robotics and Applications 39
-
- Fuel Cells and Related Materials 13
-
- Soil Moisture and Remote Sensing 12
-
- Surgical Simulation and Training 10
-
- Robot Manipulation and Learning 8
-
- Robotics and Sensor-Based Localization 8
Hao Liu
194 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 174
- Automotive Engineering 362
- Gastroenterology 134
- Renewable Energy, Sustainability and the Environment 264
- Biomedical Engineering 683
- Electrical and Electronic Engineering 871
Countries citing papers authored by Hao Liu
This map shows the geographic impact of Hao 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 Hao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Liu more than expected).
Fields of papers citing papers by Hao Liu
This network shows the impact of papers produced by Hao 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 Hao Liu. The network helps show where Hao Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hao Liu, 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 | 2024 | 12 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 6 | |
| 10 | 2020 | 20 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 37 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 15 | |
| 17 | 2014 | 5 | |
| 18 | Travel Time Prediction for Urban Arterials Based on Rough Set | 2008 | 2 |
| 19 | Neural Network Based Traffic Flow Model for Urban Arterial Travel Time Prediction | 2007 | 8 |
| 20 | 2005 | 1 |
About Hao Liu
Hao Liu is a scholar working on Gastroenterology, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 223 papers that have together received 2.7k indexed citations. Recurring topics across this work include Soft Robotics and Applications (39 papers), Gastrointestinal Bleeding Diagnosis and Treatment (18 papers), Fuel Cells and Related Materials (13 papers), Soil Moisture and Remote Sensing (12 papers), Surgical Simulation and Training (10 papers), Electrocatalysts for Energy Conversion (9 papers), Robot Manipulation and Learning (8 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Automotive Engineering (362 citations), Gastroenterology (134 citations) and Renewable Energy, Sustainability and the Environment (264 citations). Hao Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jian Chen, Daniel Hissel, Hongye Su, Zhigang Shao, Anzhu Gao, Ming Hou, Yuanyuan Zhou, Zhidong Wang, Iulian Iordachita and Qi Shao. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Instrumentation and Measurement, International Journal of Hydrogen Energy, IEEE Transactions on Medical Robotics and Bionics and Tribology Letters.
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.