Di Cai

1.5k citations
14 papers · 1.1k indexed · 1 hit paper · h-index 6
Topics
Advanced Text Analysis Techniques (4 papers)Natural Language Processing Techniques (3 papers)Sentiment Analysis and Opinion Mining (2 papers)
Partner nations
ChinaUnited KingdomIndia

In The Last Decade

Di Cai

14 papers receiving 1.0k citations

Hit Papers

Sentiment strength detection in short informal text201020262015202020102505007501000

Peers

Di Cai
Comparison fields: 5 of 97
  • Artificial Intelligence 676
  • Sociology and Political Science 328
  • Information Systems 230
  • Statistical and Nonlinear Physics 160
  • Communication 160
Replace Yilu Zhou with:
Yilu Zhou United States
Kimberly Voll Canada
Libby Hemphill United States
Ok‐Ran Jeong South Korea
Karin Becker Brazil
Andreas Kaltenbrunner Spain
Amy X. Zhang United States
N. Sadat Shami United States
Dominic DiFranzo United States
Yuheng Hu United States
Di Cai relative to Yilu Zhou United States Yilu Zhou's profile →
Citations per field
00.5×2.5×
Yilu Zhou · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 4
5 13
6 1
7 13
8 1
9 13
10
A Simple Method for Estimating Term Mutual Information
1
11 13
12
Sentiment strength detection in short informal textbreakdown →
1005
13 10
14 2

About Di Cai

Di Cai is a scholar working on Energy Engineering and Power Technology, Modeling and Simulation and Artificial Intelligence, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (4 papers), Natural Language Processing Techniques (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Communication (160 citations), Artificial Intelligence (676 citations) and Statistical and Nonlinear Physics (160 citations). Di Cai has collaborated with scholars based in China, United Kingdom and India. Frequent co-authors include Arvid Kappas, Kevan Buckley, Mike Thelwall, George Paltoglou, Yongguang Yu, Yuxue Yue, Jieyu Zhang, Yihan Zhu, Wensheng Wang and Mina Huang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Nano Research and International Journal of Intelligent Systems.

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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