Bowen Liu
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Aixuan LiJing ZhangYuchao DaiDeng-Ping FanYunqiu LvNick BarnesHun-Seok KimPaweł Szałachowski
- Topics
- Blockchain Technology Applications and Security (11 papers)IoT and Edge/Fog Computing (8 papers)Caching and Content Delivery (7 papers)
- Journals
- Journal of the American Chemical SocietyAdvanced MaterialsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Bowen Liu
108 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 402
- Electrical and Electronic Engineering 229
- Artificial Intelligence 186
- Information Systems 113
- Computer Networks and Communications 92
Countries citing papers authored by Bowen Liu
This map shows the geographic impact of Bowen 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 Bowen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowen Liu more than expected).
Fields of papers citing papers by Bowen Liu
This network shows the impact of papers produced by Bowen 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 Bowen Liu. The network helps show where Bowen Liu may publish in the future.
Co-authorship network of co-authors of Bowen Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Bowen Liu. A scholar is included among the top collaborators of Bowen 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 Bowen Liu. Bowen 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 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 23 | |
| 20 | 13 |
About Bowen Liu
Bowen Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 132 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (11 papers), IoT and Edge/Fog Computing (8 papers) and Caching and Content Delivery (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (402 citations), Health Information Management (35 citations) and Sensory Systems (35 citations). Bowen Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Aixuan Li, Jing Zhang, Yuchao Dai, Deng-Ping Fan, Yunqiu Lv, Nick Barnes, Hun-Seok Kim, Paweł Szałachowski, Andrew C. Scheiner and Henry F. Schaefer. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and SHILAP Revista de lepidopterología.
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.