Dan Sun

27 papers receiving 454 citations

Dan Sun's Hit Papers

Would ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study 2024 · 111 citations
1110+1Years since publication255075100

Peers

Dan Sun
Comparison fields: 5 of 40
  • Computer Science Applications 175
  • Information Systems 92
  • Electrical and Electronic Engineering 141
  • Control and Systems Engineering 28
  • Artificial Intelligence 33
Replace Ingvar Gustavsson with:
Ingvar Gustavsson Sweden
Yi-Chun Chang Taiwan
Adidah Lajis Malaysia
Brian Broll United States
Sasithorn Chookaew Thailand
Xiaofei Zhou United States
Andre Vaz da Silva Fidalgo Portugal
Félix García-Loro Spain
Michael S. Kirkpatrick United States
Germán Carro Spain
Dan Sun relative to Ingvar Gustavsson Sweden Ingvar Gustavsson's profile →
Citations per field
00.5×5×10×13.5×
Ingvar Gustavsson · 1×
Citations per year

Countries citing papers authored by Dan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Dan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Sun, 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 Dan Sun Line = papers co-authored together Dan Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009128
2
Would ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study
Hit paper breakdown →
2024111
3 202152
4 202032
5 202419
6 202417
7 202015
8 202012
9 202410
10 20099
11 20249
12 20258
13 20197
14 20246
15 20135
16 20235
17 20244
18 20213
19 20243
20 20142

About Dan Sun

Dan Sun is a scholar working on Computer Science Applications, Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 29 papers that have together received 465 indexed citations. Recurring topics across this work include Teaching and Learning Programming (11 papers), Wind Turbine Control Systems (3 papers), Topic Modeling (2 papers), Cloud Computing and Resource Management (1 paper), Sensorless Control of Electric Motors (1 paper), Visual and Cognitive Learning Processes (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Computer Science Applications (175 citations), Information Systems (92 citations), Electrical and Electronic Engineering (141 citations), Control and Systems Engineering (28 citations) and Artificial Intelligence (33 citations). Dan Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yan Li, Peng Zhou, Azzeddine Boudouaia, Fan Ouyang, Hongyu Chen, Junfeng Yang, Benjamin C. Lee, Miaoting Cheng, Pengcheng Jiao and Chee‐Kit Looi. Their work appears in journals such as Journal of Educational Computing Research, The International Review of Research in Open and Distributed Learning, Humanities and Social Sciences Communications, IEEE Transactions on Power Electronics and The Asia-Pacific Education Researcher.

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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