Dianlong You

63 total papers · 486 total citations
38 papers, 317 citations indexed

About

Dianlong You is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Dianlong You has authored 38 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Dianlong You's work include Recommender Systems and Techniques (11 papers), Caching and Content Delivery (10 papers) and Data Stream Mining Techniques (10 papers). Dianlong You is often cited by papers focused on Recommender Systems and Techniques (11 papers), Caching and Content Delivery (10 papers) and Data Stream Mining Techniques (10 papers). Dianlong You collaborates with scholars based in China, United States and United Kingdom. Dianlong You's co-authors include Limin Shen, Zhen Chen, Xindong Wu, Feng Li, Di Wu, Yang Wang, Hongyi Wang, Weiwei Pan, Yaojin Lin and Ze Liu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Dianlong You

32 papers receiving 310 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dianlong You 181 144 96 83 34 38 317
Rahul Hans 154 0.9× 98 0.7× 120 1.3× 80 1.0× 26 0.8× 25 343
Youwei Wang 198 1.1× 89 0.6× 38 0.4× 82 1.0× 30 0.9× 41 323
Vivek Kapoor 159 0.9× 144 1.0× 116 1.2× 120 1.4× 16 0.5× 34 328
Chien-I Lee 177 1.0× 114 0.8× 32 0.3× 39 0.5× 63 1.9× 23 295
Haifeng Li 149 0.8× 137 1.0× 89 0.9× 56 0.7× 17 0.5× 54 324
Yi‐Hung Huang 206 1.1× 63 0.4× 50 0.5× 58 0.7× 31 0.9× 25 359
Stefan Reiterer 85 0.5× 116 0.8× 47 0.5× 37 0.4× 14 0.4× 31 251
Farhad Mardukhi 101 0.6× 143 1.0× 107 1.1× 40 0.5× 16 0.5× 22 270
Jianchao Han 97 0.5× 123 0.9× 37 0.4× 50 0.6× 41 1.2× 47 279
Wen-Ching Lin 249 1.4× 204 1.4× 47 0.5× 29 0.3× 28 0.8× 21 345

Countries citing papers authored by Dianlong You

Since Specialization
Citations

This map shows the geographic impact of Dianlong You'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 Dianlong You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianlong You more than expected).

Fields of papers citing papers by Dianlong You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dianlong You. 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 Dianlong You. The network helps show where Dianlong You may publish in the future.

Co-authorship network of co-authors of Dianlong You

This figure shows the co-authorship network connecting the top 25 collaborators of Dianlong You. A scholar is included among the top collaborators of Dianlong You 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 Dianlong You. Dianlong You is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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