Di Cai

32 total papers · 1.5k total citations
14 papers, 1.1k citations indexed

About

Di Cai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Di Cai has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Di Cai's work include Advanced Text Analysis Techniques (4 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (2 papers). Di Cai is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (2 papers). Di Cai collaborates with scholars based in China, United Kingdom and Germany. Di Cai's co-authors include Arvid Kappas, Mike Thelwall, George Paltoglou, Kevan Buckley, Yongguang Yu, Yuxue Yue, Wensheng Wang, T.L. McCluskey, Bo Zhao and Yihan Zhu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Nano Research and International Journal of Intelligent Systems.

In The Last Decade

Di Cai

14 papers receiving 1.0k citations

Hit Papers

Sentiment strength detect... 2010 2026 2015 2020 2010 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Di Cai 676 330 230 162 161 14 1.1k
Hugo Liu 647 1.0× 275 0.8× 196 0.9× 55 0.3× 136 0.8× 23 1.1k
Tanushree Mitra 437 0.6× 670 2.0× 279 1.2× 89 0.5× 229 1.4× 40 1.1k
Björn Roß 524 0.8× 545 1.7× 242 1.1× 139 0.9× 300 1.9× 47 1.3k
Alexandra Olteanu 711 1.1× 523 1.6× 210 0.9× 197 1.2× 458 2.8× 45 1.5k
Justin Cheng 388 0.6× 425 1.3× 294 1.3× 215 1.3× 239 1.5× 44 1.5k
Xia Feng 531 0.8× 294 0.9× 269 1.2× 126 0.8× 86 0.5× 20 1.3k
Andreas Both 710 1.1× 298 0.9× 254 1.1× 103 0.6× 108 0.7× 22 1.4k
Catherine A. Bliss 333 0.5× 247 0.7× 100 0.4× 333 2.1× 88 0.5× 6 949
Isabel M. Kloumann 363 0.5× 312 0.9× 81 0.4× 313 1.9× 104 0.6× 10 1.1k
Jasmina Smailović 603 0.9× 217 0.7× 141 0.6× 85 0.5× 115 0.7× 13 1.0k

Countries citing papers authored by Di Cai

Since Specialization
Citations

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

Fields of papers citing papers by Di Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Di Cai. A scholar is included among the top collaborators of Di Cai 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 Di Cai. Di Cai 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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