Yi Mao

1.7k citations
63 papers · 960 indexed · h-index 14

Yi Mao

55 papers receiving 904 citations

Peers

Yi Mao
Comparison fields: 5 of 130
  • Computer Science Applications 166
  • Artificial Intelligence 461
  • Health Informatics 11
  • Computer Vision and Pattern Recognition 155
  • Signal Processing 64
Replace Yi Fang with:
Yi Fang United States
Vittorio Rampa Italy
Ningbo Zhu China
Mário Garcia United States
Telmo M. Silva Filho Brazil
Raúl Santos‐Rodríguez United Kingdom
Şeyda Ertekin United States
Baowei Wang China
Ali Jalali United States
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Citations per field
00.5×3.9×
Yi Fang · 1×
Citations per year

Countries citing papers authored by Yi Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yi Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20252
4 20250
5 20250
6 20240
7 20237
8 20237
9 202264
10 20212
11 202187
12 20212
13 20213
14 202036
15 20206
16
Action-dependent Control Variates for Policy Optimization via Stein Identity
201810
17
Learning from the Wisdom of Crowds by Minimax Entropy
2012198
18
Dimensionality Reduction for Text using Domain Knowledge
201010
19
Extended short-term load forecasting based on similar days weight
20091
20
The Locally Weighted Bag of Words Framework for Document Representation
200735

About Yi Mao

Yi Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 63 papers that have together received 960 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), GNSS positioning and interference (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Music and Audio Processing (4 papers), Image Retrieval and Classification Techniques (4 papers), Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (4 papers) and Inertial Sensor and Navigation (4 papers). The work is most often cited by research in Computer Science Applications (166 citations), Artificial Intelligence (461 citations) and Health Informatics (11 citations). Yi Mao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dengyong Zhou, John Platt, Sumit Basu, Guy Lebanon, Rui Sun, Washington Y. Ochieng, Qi Cheng, Joshua V. Dillon, Yixin Chen and Junhui Wang. Their work appears in journals such as GPS Solutions, IEEE Internet of Things Journal, Remote Sensing, Multiple Sclerosis and Related Disorders and Synthese.

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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