Wanfu Gao

1.8k total citations
50 papers, 1.4k citations indexed

About

Wanfu Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Wanfu Gao has authored 50 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 35 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Wanfu Gao's work include Text and Document Classification Technologies (33 papers), Face and Expression Recognition (22 papers) and Image Retrieval and Classification Techniques (22 papers). Wanfu Gao is often cited by papers focused on Text and Document Classification Technologies (33 papers), Face and Expression Recognition (22 papers) and Image Retrieval and Classification Techniques (22 papers). Wanfu Gao collaborates with scholars based in China, United States and Hong Kong. Wanfu Gao's co-authors include Ping Zhang, Liang Hu, Yonghao Li, Juncheng Hu, Guixia Liu, Feng Wang, Kuo Zhao, Jialong He, Qingqi Han and Yang Wu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Wanfu Gao

45 papers receiving 1.3k citations

Peers

Wanfu Gao
Comparison fields: 5 of 91
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 869
  • Molecular Biology 281
  • Information Systems 272
  • Computational Theory and Mathematics 193
Replace Liang Hu with:
Liang Hu China
Shunxiang Wu China
Amin Hashemi Iran
Dejan Gjorgjevikj North Macedonia
Zhongqiang Huang China
Jihong Wan China
Anne M. P. Canuto Brazil
Mohammad Ali Zare Chahooki Iran
Lungan Zhang China
Liang Hu China View profile →
Citations per field, relative to Wanfu Gao
Wanfu Gao · 1×
Citations per year, relative to Wanfu Gao
Wanfu Gao · 1×

Countries citing papers authored by Wanfu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Wanfu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanfu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Wanfu Gao. A scholar is included among the top collaborators of Wanfu 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 Wanfu Gao. Wanfu 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 0
2 1
3 0
4 1
5 1
6 11
7 5
8 4
9 8
10 4
11 24
12 14
13 5
14 3
15 2
16 17
17 76
18 14
19 116
20
Detecting emotion cause with sequence labeling model
0

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026