Zhendong Mao

6.3k citations
110 papers · 3.7k indexed · 3 hit papers · h-index 22
Topics
Multimodal Machine Learning Applications (37 papers)Advanced Image and Video Retrieval Techniques (37 papers)Topic Modeling (25 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Zhendong Mao

98 papers receiving 3.6k citations

Hit Papers

Knowledge Graph Embedding: A Survey of Approaches and App...201720262020202320172021202150010001.5k

Peers

Zhendong Mao
Comparison fields: 5 of 140
  • Artificial Intelligence 2.3k
  • Computer Vision and Pattern Recognition 1.7k
  • Information Systems 424
  • Management Science and Operations Research 269
  • Molecular Biology 221
Replace Zhiyong Cheng with:
Zhiyong Cheng China
Yi Tay Singapore
Jin Huang China
Qiang Liu China
Qinfeng Shi Australia
Xing Wei China
Fei Sun China
宏治 津田 Japan
Shu Wu China
Minnan Luo China
Zhendong Mao relative to Zhiyong Cheng China Zhiyong Cheng's profile →
Citations per field
00.5×6.7×
Zhiyong Cheng · 1×
Citations per year

Countries citing papers authored by Zhendong Mao

Since Specialization
Citations

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

Fields of papers citing papers by Zhendong Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhendong Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhendong Mao. A scholar is included among the top collaborators of Zhendong 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 Zhendong Mao. Zhendong 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 3
6 0
7 0
8 12
9 7
10 10
11 0
12 13
13 7
14 4
15 9
16 26
17 9
18 13
19 16
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TRECVID 2009 of MCG-ICT-CAS.
4

About Zhendong Mao

Zhendong Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Informatics, having authored 110 papers that have together received 3.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (37 papers), Advanced Image and Video Retrieval Techniques (37 papers) and Topic Modeling (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Artificial Intelligence (2.3k citations) and Management Science and Operations Research (269 citations). Zhendong Mao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Quan Wang, Bin Wang, Li Guo, Yongdong Zhang, Hongtao Xie, An-An Liu, Tianzhu Zhang, Chunxiao Liu, Kun Zhang and Shancheng Fang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and ACS Applied Materials & Interfaces.

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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