Feng Mao

805 total citations
39 papers, 478 citations indexed

About

Feng Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Feng Mao has authored 39 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Feng Mao's work include Software Engineering Research (3 papers), Video Analysis and Summarization (3 papers) and Multimodal Machine Learning Applications (3 papers). Feng Mao is often cited by papers focused on Software Engineering Research (3 papers), Video Analysis and Summarization (3 papers) and Multimodal Machine Learning Applications (3 papers). Feng Mao collaborates with scholars based in China, United States and France. Feng Mao's co-authors include Xipeng Shen, Jiahuan Lu, Hui Zhang, Qingquan Luo, Liqiang Qian, Jia Huang, Zhengping Ding, Yi Liu, Da Chen and Hui Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Feng Mao

34 papers receiving 464 citations

Peers

Feng Mao
Comparison fields: 5 of 95
  • Artificial Intelligence 179
  • Molecular Biology 110
  • Cancer Research 108
  • Information Systems 73
  • Computer Vision and Pattern Recognition 70
Replace Wenlong Feng with:
Wenlong Feng China
Sourav Dutta India
Nasullah Khalid Alham United Kingdom
Mohamed Fawzy Egypt
Dragi Kimovski Austria
Yuedan Chen China
Yuhai Zhao China
Ayush Singhal United States
Wenlong Feng China View profile →
Citations per field, relative to Feng Mao
Feng Mao · 1×
Citations per year, relative to Feng Mao
Feng Mao · 1×

Countries citing papers authored by Feng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Feng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Mao. A scholar is included among the top collaborators of Feng Mao 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 Feng Mao. Feng Mao 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 1
2 3
3 9
4 0
5 3
6 1
7 1
8 2
9 57
10 13
11 1
12
Hybrid Sequence Encoder for Text Based Video Retrieval.
3
13 1
14 110
15 1
16 28
17 3
18 2
19
A Method of Capturing Video Stream Based on Visual C
1
20 2

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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