Junda Liu
- Computer Networks and Communications top 2%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Molecular Biology
- Pharmaceutical Science top 5%
- Co-authors
- Yanpei ChenAnthony D. JosephRean GriffithRandy H. KatzNeng QiuScott ShenkerXuebing LiMichael Schapira
- Topics
- Software-Defined Networks and 5G (9 papers)Hormonal and reproductive studies (6 papers)Nanoparticle-Based Drug Delivery (6 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Heat and Mass TransferChemical Engineering Science
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junda Liu
44 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Networks and Communications 603
- Information Systems 321
- Electrical and Electronic Engineering 202
- Molecular Biology 139
- Pharmaceutical Science 82
Countries citing papers authored by Junda Liu
This map shows the geographic impact of Junda 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 Junda Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junda Liu more than expected).
Fields of papers citing papers by Junda Liu
This network shows the impact of papers produced by Junda 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 Junda Liu. The network helps show where Junda Liu may publish in the future.
Co-authorship network of co-authors of Junda Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Junda Liu. A scholar is included among the top collaborators of Junda 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 Junda Liu. Junda 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 21 | |
| 11 | 17 | |
| 12 | 34 | |
| 13 | 18 | |
| 14 | 14 | |
| 15 | Rotation Period of 2019 van Albada | 1 |
| 16 | 66 | |
| 17 | Effects of estrogen and androgen on prostatic stromal cell proliferation | 1 |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 4 |
About Junda Liu
Junda Liu is a scholar working on Pharmaceutical Science, Biomaterials and Computer Networks and Communications, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (9 papers), Hormonal and reproductive studies (6 papers) and Nanoparticle-Based Drug Delivery (6 papers). The work is most often cited by research in Computer Networks and Communications (603 citations), Information Systems (321 citations) and Pharmaceutical Science (82 citations). Junda Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanpei Chen, Anthony D. Joseph, Rean Griffith, Randy H. Katz, Neng Qiu, Scott Shenker, Xuebing Li, Michael Schapira, Sylvia Ratnasamy and Jerry Albert. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Heat and Mass Transfer and Chemical Engineering Science.
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.