Xiaoping Hong
Impact in
- Materials Chemistry top 2%
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
- Carbon Nanotubes in Composites
- Quantum Dots Synthesis And Properties
- Geology top 2%
Papers in
- Geology 5
- 3D Surveying and Cultural Heritage 5
- Co-authors
- Feng WangJonghwan KimSu‐Fei ShiChenhao JinJunqiao WuYinghui SunSefaattin TongayYanfeng Zhang
- Journals
- IEEE Robotics and Automation Letters (5 papers)Nature Nanotechnology (3 papers)Nano Letters (3 papers)IEEE Transactions on Robotics (2 papers)Physical Review B (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoping Hong
35 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Materials Chemistry 2.7k
- Geology 197
- Instrumentation 103
- Electrical and Electronic Engineering 1.6k
- Atomic and Molecular Physics, and Optics 692
Countries citing papers authored by Xiaoping Hong
This map shows the geographic impact of Xiaoping Hong'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 Xiaoping Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Hong more than expected).
Fields of papers citing papers by Xiaoping Hong
This network shows the impact of papers produced by Xiaoping Hong. 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 Xiaoping Hong. The network helps show where Xiaoping Hong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoping Hong, 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 | 1 | |
| 2 | 2024 | 18 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 0 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 4 | |
| 10 | Pixel-Level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments Hit paper breakdown → | 2021 | 198 |
| 11 | 2015 | 115 | |
| 12 | Ultrafast charge transfer in atomically thin MoS2/WS2 heterostructures Hit paper breakdown → | 2014 | 1876 |
| 13 | 2014 | 60 | |
| 14 | 2014 | 169 | |
| 15 | 2014 | 120 | |
| 16 | 2013 | 82 | |
| 17 | 2013 | 62 | |
| 18 | 2013 | 20 | |
| 19 | 2012 | 175 | |
| 20 | 2012 | 14 |
About Xiaoping Hong
Xiaoping Hong is a scholar working on Geology, Instrumentation, Environmental Engineering, Aerospace Engineering and Materials Chemistry, having authored 37 papers that have together received 3.8k indexed citations. Recurring topics across this work include Graphene research and applications (8 papers), Robotics and Sensor-Based Localization (8 papers), Carbon Nanotubes in Composites (6 papers), 2D Materials and Applications (6 papers), Remote Sensing and LiDAR Applications (5 papers), 3D Surveying and Cultural Heritage (5 papers), Mechanical and Optical Resonators (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Materials Chemistry (2.7k citations), Geology (197 citations), Instrumentation (103 citations), Electrical and Electronic Engineering (1.6k citations) and Atomic and Molecular Physics, and Optics (692 citations). Xiaoping Hong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Feng Wang, Jonghwan Kim, Su‐Fei Shi, Chenhao Jin, Junqiao Wu, Yinghui Sun, Sefaattin Tongay, Yanfeng Zhang, Yu Zhang and Fu Zhang. Their work appears in journals such as IEEE Robotics and Automation Letters, Nature Nanotechnology, Nano Letters, IEEE Transactions on Robotics and Physical Review B.
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.