Adele Lu Jia
Impact in
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
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- Complex Network Analysis Techniques
Papers in
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- Caching and Content Delivery 15
- Peer-to-Peer Network Technologies 13
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- Advanced Graph Neural Networks 8
- Topic Modeling 4
- Co-authors
- Siqi Shen (11 shared papers)Dick Epema (8 shared papers)Alexandru Iosup (3 shared papers)Long Cheng (1 shared paper)Cong Liu (1 shared paper)Qingzhi Liu (1 shared paper)Dongsheng Li (3 shared papers)Ruud van de Bovenkamp (2 shared papers)
- Journals
- Knowledge-Based Systems (3 papers)Computer Networks (2 papers)IEEE Access (2 papers)IEEE Internet Computing (1 paper)Scientia Horticulturae (1 paper)
- Partner nations
- ChinaNetherlandsHong Kong
In The Last Decade
Adele Lu Jia
35 papers receiving 325 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 120
- Statistical and Nonlinear Physics 51
- Artificial Intelligence 90
- Sociology and Political Science 117
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Adele Lu Jia
This map shows the geographic impact of Adele Lu Jia'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 Adele Lu Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adele Lu Jia more than expected).
Fields of papers citing papers by Adele Lu Jia
This network shows the impact of papers produced by Adele Lu Jia. 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 Adele Lu Jia. The network helps show where Adele Lu Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Adele Lu Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2018 | 39 | |
| 3 | 2016 | 37 | |
| 4 | 2015 | 37 | |
| 5 | 2014 | 30 | |
| 6 | 2011 | 18 | |
| 7 | 2024 | 15 | |
| 8 | 2020 | 10 | |
| 9 | 2013 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2011 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2011 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2019 | 4 |
About Adele Lu Jia
Adele Lu Jia is a scholar working on Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science and Information Systems, having authored 35 papers that have together received 335 indexed citations. Recurring topics across this work include Caching and Content Delivery (15 papers), Peer-to-Peer Network Technologies (13 papers), Complex Network Analysis Techniques (11 papers), Advanced Graph Neural Networks (8 papers), Digital Games and Media (7 papers), FinTech, Crowdfunding, Digital Finance (4 papers), Recommender Systems and Techniques (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Computer Networks and Communications (120 citations), Statistical and Nonlinear Physics (51 citations), Artificial Intelligence (90 citations), Sociology and Political Science (117 citations) and Computer Vision and Pattern Recognition (46 citations). Adele Lu Jia has collaborated with scholars based in China, Netherlands and Hong Kong. Frequent co-authors include Siqi Shen, Dick Epema, Alexandru Iosup, Long Cheng, Cong Liu, Qingzhi Liu, Dongsheng Li, Ruud van de Bovenkamp, Fernando Kuipers and Johan Pouwelse. Their work appears in journals such as Knowledge-Based Systems, Computer Networks, IEEE Access, IEEE Internet Computing and Scientia Horticulturae.
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.