Yuan Miao

2.4k citations
144 papers · 1.4k indexed · h-index 21
Topics
Cognitive Science and Mapping (13 papers)Cognitive Computing and Networks (11 papers)Multi-Agent Systems and Negotiation (10 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONELangmuir
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Yuan Miao

124 papers receiving 1.4k citations

Peers

Yuan Miao
Comparison fields: 5 of 134
  • Artificial Intelligence 560
  • Management Science and Operations Research 170
  • Electrical and Electronic Engineering 165
  • Civil and Structural Engineering 162
  • Biomedical Engineering 138
Replace Ying Zhang with:
Ying Zhang China
Mitsuhiro Hirano Japan
Bingchen Li China
Chunsheng Yang China
Youngbin Kim South Korea
Yi Xiang China
Jun Jo Australia
Zhenyu Zhang China
P.N. Yianilos United States
Yuan Miao relative to Ying Zhang China Ying Zhang's profile →
Citations per field
00.5×1.5×2.2×
Ying Zhang · 1×
Citations per year

Countries citing papers authored by Yuan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Miao. A scholar is included among the top collaborators of Yuan Miao 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 Yuan Miao. Yuan Miao 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 4
2 0
3 0
4 0
5 2
6 0
7 20
8 0
9 1
10 3
11 2
12 5
13 7
14 43
15 3
16 32
17 12
18
Teachable Agents in Virtual Learning Environments: a Case Study
4
19 2
20
Stability Determination Algorithm for 2-Dimension High Order Singular System
0

About Yuan Miao

Yuan Miao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 144 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cognitive Science and Mapping (13 papers), Cognitive Computing and Networks (11 papers) and Multi-Agent Systems and Negotiation (10 papers). The work is most often cited by research in Artificial Intelligence (560 citations), Management Science and Operations Research (170 citations) and Civil and Structural Engineering (162 citations). Yuan Miao has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Zhiqiang Liu, Khandakar Ahmed, Chunyan Miao, Zhi-Qiang Liu, Chee Kheong Siew, Zhiqi Shen, Ayan Sadhu, Hua Wang, Shaojie Liu and Yanchun Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

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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