Xu He
Impact in
-
- Digital Transformation in Industry
-
- Domain Adaptation and Few-Shot Learning
- Reinforcement Learning in Robotics
Papers in
-
- Advanced Battery Technologies Research 2
-
- Reinforcement Learning in Robotics 2
- Neural Networks and Reservoir Computing 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Ding Liu (1 shared paper)Lihui Wang (1 shared paper)Yongkui Liu (1 shared paper)Herbert Jaeger (2 shared papers)Wulfram Gerstner (3 shared papers)Michael H. Herzog (3 shared papers)Chunyan Guo (2 shared papers)Touradj Ebrahimi (2 shared papers)
- Journals
- Applied Sciences (2 papers)Brain Research (1 paper)Frontiers in Psychology (1 paper)IEEE Access (1 paper)eLife (1 paper)
- Partner nations
- ChinaSwitzerlandGermany
In The Last Decade
Xu He
16 papers receiving 346 citations
Peers
Comparison fields: 5 of 35
- Industrial and Manufacturing Engineering 30
- Artificial Intelligence 57
- Oncology 36
- Experimental and Cognitive Psychology 21
- Cognitive Neuroscience 28
Countries citing papers authored by Xu He
This map shows the geographic impact of Xu He'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 Xu He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu He more than expected).
Fields of papers citing papers by Xu He
This network shows the impact of papers produced by Xu He. 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 Xu He. The network helps show where Xu He may publish in the future.
Co-authors
The 25 scholars most cited alongside Xu He, 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 | 2022 | 100 | |
| 2 | 2022 | 49 | |
| 3 | Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation | 2018 | 40 |
| 4 | 2021 | 30 | |
| 5 | 2017 | 28 | |
| 6 | 2015 | 26 | |
| 7 | 2015 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2012 | 0 | |
| 18 | 2025 | 0 |
About Xu He
Xu He is a scholar working on Automotive Engineering, Artificial Intelligence, Human-Computer Interaction, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 18 papers that have together received 356 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (2 papers), Silicon Carbide Semiconductor Technologies (2 papers), Advanced Battery Technologies Research (2 papers), Neural Networks and Reservoir Computing (1 paper), Virtual Reality Applications and Impacts (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Robotics and Sensor-Based Localization (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (30 citations), Artificial Intelligence (57 citations), Oncology (36 citations), Experimental and Cognitive Psychology (21 citations) and Cognitive Neuroscience (28 citations). Xu He has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Ding Liu, Lihui Wang, Yongkui Liu, Herbert Jaeger, Wulfram Gerstner, Michael H. Herzog, Chunyan Guo, Touradj Ebrahimi, Alireza Modirshanechi and Eleni Kroupi. Their work appears in journals such as Applied Sciences, Brain Research, Frontiers in Psychology, IEEE Access and eLife.
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.