Hongbin Liu

6.9k citations
240 papers · 5.3k · 1 hit paper · h-index 41

Impact in

Papers in

Hongbin Liu

222 papers receiving 5.2k citations

Hongbin Liu's Hit Papers

Robotic tactile perception of object properties: A review 2017 · 301 citations
3010+3+6Years since publication100200300

Peers

Hongbin Liu
Comparison fields: 5 of 176
  • Biomedical Engineering 3.1k
  • Cognitive Neuroscience 1.1k
  • Control and Systems Engineering 1.2k
  • Human-Computer Interaction 161
  • Polymers and Plastics 322
Replace Wei Xu with:
Wei Xu China
Hyouk Ryeol Choi South Korea
Jonathan Rossiter United Kingdom
Zhouping Yin China
Zhan Kang China
Michael Yu Wang Hong Kong
Long Li China
Lining Sun China
Constantinos Mavroidis United States
Zheng Wang China
Hongbin Liu relative to Wei Xu China Wei Xu's profile →
Citations per field
00.5×2.5×
Wei Xu · 1×
Citations per year

Countries citing papers authored by Hongbin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hongbin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hongbin Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hongbin Liu Line = papers co-authored together Hongbin Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robotic tactile perception of object properties: A review
Hit paper breakdown →
2017301
2 2011213
3 2017137
4 2015124
5 2020120
6 2016106
7 201598
8 199897
9 200988
10 201987
11 202386
12 201582
13 201181
14 201881
15 201578
16 202071
17 202064
18 201161
19 201861
20 201259

About Hongbin Liu

Hongbin Liu is a scholar working on Biomedical Engineering, Control and Systems Engineering, Surgery, Mechanical Engineering and Cognitive Neuroscience, having authored 240 papers that have together received 5.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (91 papers), Robot Manipulation and Learning (41 papers), Tactile and Sensory Interactions (36 papers), Advanced Sensor and Energy Harvesting Materials (36 papers), Surgical Simulation and Training (31 papers), Teleoperation and Haptic Systems (20 papers), Advanced Surface Polishing Techniques (14 papers) and Augmented Reality Applications (10 papers). The work is most often cited by research in Biomedical Engineering (3.1k citations), Cognitive Neuroscience (1.1k citations), Control and Systems Engineering (1.2k citations), Human-Computer Interaction (161 citations) and Polymers and Plastics (322 citations). Hongbin Liu has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Kaspar Althoefer, Lakmal Seneviratne, João Bimbo, Shan Luo, Prokar Dasgupta, Junghwan Back, Ravinder Dahiya, Yohan Noh, Kawal Rhode and Xiaojing Song. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Sensors Journal, IEEE/ASME Transactions on Mechatronics, Neurocomputing and Autonomous Robots.

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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