Junhua Liu
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Kwan Hui LimKristin L. WoodHe-Liang HuangChu GuoWei HuangWeixin YangLi-Rong DaiLifan Yang
- Topics
- Natural Language Processing Techniques (6 papers)Topic Modeling (5 papers)Speech Recognition and Synthesis (5 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Junhua Liu
30 papers receiving 455 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 325
- Signal Processing 59
- Atomic and Molecular Physics, and Optics 52
- Computational Theory and Mathematics 51
- Electrical and Electronic Engineering 40
Countries citing papers authored by Junhua Liu
This map shows the geographic impact of Junhua 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 Junhua Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhua Liu more than expected).
Fields of papers citing papers by Junhua Liu
This network shows the impact of papers produced by Junhua 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 Junhua Liu. The network helps show where Junhua Liu may publish in the future.
Co-authorship network of co-authors of Junhua Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Junhua Liu. A scholar is included among the top collaborators of Junhua 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 Junhua Liu. Junhua 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 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 55 | |
| 13 | 24 | |
| 14 | 48 | |
| 15 | The Intelligent Node Based on LonWorks | 1 |
| 16 | Major bryophyte patch biomass and relation with environmental factors in a coniferous forest of the eastern Qinghai--Tibetan plateau | 8 |
| 17 | 17 | |
| 18 | 3 | |
| 19 | GA-Fuzzy Identification of Chaotic Systems | 1 |
| 20 | 4 |
About Junhua Liu
Junhua Liu is a scholar working on Artificial Intelligence, General Social Sciences and Business and International Management, having authored 34 papers that have together received 487 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Computational Mathematics (7 citations), Artificial Intelligence (325 citations) and Signal Processing (59 citations). Junhua Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kwan Hui Lim, Kristin L. Wood, He-Liang Huang, Chu Guo, Wei Huang, Weixin Yang, Li-Rong Dai, Lifan Yang, Luciënne Blessing and Si Wei. Their work appears in journals such as Physical Review Letters, PLoS ONE and Journal of Cleaner Production.
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.