Han Cao

1.0k total citations
31 papers, 678 citations indexed

About

Han Cao is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Han Cao has authored 31 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Han Cao's work include Online Learning and Analytics (6 papers), Recommender Systems and Techniques (6 papers) and Topic Modeling (4 papers). Han Cao is often cited by papers focused on Online Learning and Analytics (6 papers), Recommender Systems and Techniques (6 papers) and Topic Modeling (4 papers). Han Cao collaborates with scholars based in China, Yemen and United Kingdom. Han Cao's co-authors include Ahmed A. Mubarak, Yifei Li, Ibrahim M. Hezam, Yanhui Guo, Yu Bai, Yunchuan Sun, Jianjun Bai, Fei Hao, Patrick Olivier and Dan Jackson and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

Han Cao

27 papers receiving 645 citations

Peers

Han Cao
Comparison fields: 5 of 92
  • Computer Science Applications 264
  • Artificial Intelligence 200
  • Education 108
  • Information Systems 94
  • Media Technology 88
Replace Indrajit Bhattacharya with:
Indrajit Bhattacharya India
José-Francisco Díez-Pastor Spain
Sani Muhamad Isa Indonesia
Wahidah Hashim Malaysia
Emiro De-La-Hoz-Franco Colombia
Jon Sticklen United States
Tuğba Taşkaya Temizel Türkiye
Nuha Alruwais Saudi Arabia
Sofianita Mutalib Malaysia
Mukesh Kumar India
Indrajit Bhattacharya India View profile →
Citations per field, relative to Han Cao
Han Cao · 1×
Citations per year, relative to Han Cao
Han Cao · 1×

Countries citing papers authored by Han Cao

Since Specialization
Citations

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

Fields of papers citing papers by Han Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Cao

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 5
4 2
5 0
6 18
7 9
8 65
9 80
10 38
11 7
12 17
13 5
14 40
15 50
16 13
17 8
18
Splicing Vision and Application of Spatial Pipe Based on OpenGL
1
19
A Solution to Spatial Relation Representation and Reasoning Based on Ontology and SWRL
0
20 10

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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