Junhong Liu
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Aerospace Engineering
- Computer Networks and Communications
- Astronomy and Astrophysics
- Topics
- Parallel Computing and Optimization Techniques (5 papers)Topic Modeling (4 papers)Ionosphere and magnetosphere dynamics (3 papers)
- Journals
- Environmental Science & TechnologyMoleculesIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- ChinaFinlandUnited States
In The Last Decade
Junhong Liu
26 papers receiving 329 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 99
- Hardware and Architecture 61
- Aerospace Engineering 59
- Computer Networks and Communications 54
- Astronomy and Astrophysics 46
Countries citing papers authored by Junhong Liu
This map shows the geographic impact of Junhong 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 Junhong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhong Liu more than expected).
Fields of papers citing papers by Junhong Liu
This network shows the impact of papers produced by Junhong 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 Junhong Liu. The network helps show where Junhong Liu may publish in the future.
Co-authorship network of co-authors of Junhong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Junhong Liu. A scholar is included among the top collaborators of Junhong 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 Junhong Liu. Junhong 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 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 20 | |
| 13 | 33 | |
| 14 | 7 | |
| 15 | Variable smoothing parameter of the double exponential smoothing forecasting model and its application | 2 |
| 16 | 44 | |
| 17 | On the differential evolution algorithm and its application to training radial basis function networks | 4 |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 2 |
About Junhong Liu
Junhong Liu is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 346 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Topic Modeling (4 papers) and Ionosphere and magnetosphere dynamics (3 papers). The work is most often cited by research in Computational Mathematics (6 citations), Hardware and Architecture (61 citations) and Oceanography (46 citations). Junhong Liu has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Jouni Lampinen, Guangming Tan, Huiyuan Fan, Defeng Gu, Bing Ju, Jia Tu, Jiajia Li, Weifeng Liu, Xin He and Junjie Lai. Their work appears in journals such as Environmental Science & Technology, Molecules and IEEE Transactions on Parallel and Distributed Systems.
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.