Cuiyun Gao

1.2k total citations · 1 hit paper
50 papers, 676 citations indexed

About

Cuiyun Gao is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Cuiyun Gao has authored 50 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 27 papers in Artificial Intelligence and 16 papers in Software. Recurrent topics in Cuiyun Gao's work include Software Engineering Research (28 papers), Topic Modeling (16 papers) and Software Testing and Debugging Techniques (14 papers). Cuiyun Gao is often cited by papers focused on Software Engineering Research (28 papers), Topic Modeling (16 papers) and Software Testing and Debugging Techniques (14 papers). Cuiyun Gao collaborates with scholars based in China, Hong Kong and Singapore. Cuiyun Gao's co-authors include Michael R. Lyu, Chaozheng Wang, Xin Xia, Yün Peng, David Lo, Yuanhang Yang, Hongyu Zhang, Zongjie Li, Jichuan Zeng and Yang Liu and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Neural Networks.

In The Last Decade

Cuiyun Gao

45 papers receiving 667 citations

Hit Papers

No more fine-tuning? an experimental evaluation of prompt... 2022 2026 2023 2024 2022 25 50 75 100

Peers

Cuiyun Gao
Comparison fields: 5 of 55
  • Information Systems 439
  • Artificial Intelligence 305
  • Software 198
  • Signal Processing 173
  • Computer Networks and Communications 159
Replace Weishi Wang with:
Weishi Wang China
Philippe Charland Canada
Joseph W. Yoder United States
Csaba Nagy Switzerland
Yiling Lou China
Joel Ossher United States
Xing Hu China
Zeyu Sun China
André Hora Brazil
Martin Ward United Kingdom
Weishi Wang China View profile →
Citations per field, relative to Cuiyun Gao
Cuiyun Gao · 1×
Citations per year, relative to Cuiyun Gao
Cuiyun Gao · 1×

Countries citing papers authored by Cuiyun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Cuiyun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiyun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiyun Gao. A scholar is included among the top collaborators of Cuiyun Gao 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 Cuiyun Gao. Cuiyun Gao 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 4
2 3
3 0
4 0
5 0
6 5
7 2
8 20
9 6
10 2
11 5
12 2
13 3
14 10
15 4
16 14
17 73
18 23
19 31
20
Realization Anti-fold Filter Use for MAX291
1

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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