Adele Lu Jia

513 citations
35 papers · 343 · h-index 9

Impact in

Papers in

Adele Lu Jia

35 papers receiving 333 citations

Peers

Adele Lu Jia
Comparison fields: 5 of 72
  • Computer Networks and Communications 121
  • Statistical and Nonlinear Physics 52
  • Artificial Intelligence 94
  • Sociology and Political Science 118
  • Computer Vision and Pattern Recognition 48
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Osnat Mokryn Israel
Serena Nicolazzo Italy
Marcelo G. Armentano Argentina
Qingyuan Gong China
Stuart Chalmers United Kingdom
Joseph Migga Kizza United States
Alessandro Di Stefano Italy
Juliana Salles Brazil
Marin Vuković Croatia
G. Geethakumari India
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Citations per field
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Citations per year

Countries citing papers authored by Adele Lu Jia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Adele Lu Jia Line = papers co-authored together Adele Lu Jia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202158
2 201839
3 201538
4 201637
5 201430
6 201118
7 202415
8 202010
9 20138
10 20188
11 20178
12 20237
13 20197
14 20115
15 20225
16 20115
17 20235
18 20205
19 20194
20 20184

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 343 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), Topic Modeling (4 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (121 citations), Statistical and Nonlinear Physics (52 citations), Artificial Intelligence (94 citations), Sociology and Political Science (118 citations) and Computer Vision and Pattern Recognition (48 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, Qingzhi Liu, Cong Liu, Long Cheng, Dongsheng Li, Fernando Kuipers, Ruud van de Bovenkamp and Johan Pouwelse. Their work appears in journals such as Knowledge-Based Systems, Computer Networks, IEEE Access, ACM Transactions on Knowledge Discovery from Data and ACM Transactions on Internet Technology.

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.

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