Yujia Huo

760 citations
44 papers · 443 indexed · h-index 12
Topics
Intelligent Tutoring Systems and Adaptive Learning (5 papers)Online Learning and Analytics (4 papers)Topic Modeling (4 papers)
Journals
SHILAP Revista de lepidopterologíaEnergyFuel
Partner nations
ChinaItalyMacao

In The Last Decade

Yujia Huo

36 papers receiving 428 citations

Peers

Yujia Huo
Comparison fields: 5 of 105
  • Artificial Intelligence 110
  • Molecular Biology 83
  • Computer Vision and Pattern Recognition 77
  • Electrical and Electronic Engineering 67
  • Control and Systems Engineering 54
Replace Masahiro Sato with:
Masahiro Sato Japan
Chaoyu Liu China
Zhuzhu Wang China
Chang Tian China
Di Cao China
Abdulkareem Alzahrani Saudi Arabia
Qingkui Chen China
Guopeng Zhao China
Ye Ouyang United States
Yujia Huo relative to Masahiro Sato Japan Masahiro Sato's profile →
Citations per field
00.5×3.2×
Masahiro Sato · 1×
Citations per year

Countries citing papers authored by Yujia Huo

Since Specialization
Citations

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

Fields of papers citing papers by Yujia Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujia Huo

This figure shows the co-authorship network connecting the top 25 collaborators of Yujia Huo. A scholar is included among the top collaborators of Yujia Huo 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 Yujia Huo. Yujia Huo 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 1
2 0
3 0
4 1
5 11
6 0
7 0
8 25
9 12
10 6
11 7
12 11
13 4
14 3
15 8
16 59
17
RUCMM at MediaEval 2015 Affective Impact of Movies Task: Fusion of Audio and Visual Cues
7
18
RUC-Tencent at ImageCLEF 2015: Concept Detection, Localization and Sentence Generation
2
19 19
20 40

About Yujia Huo

Yujia Huo is a scholar working on Computer Science Applications, Safety, Risk, Reliability and Quality and Software, having authored 44 papers that have together received 443 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Online Learning and Analytics (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Computer Science Applications (50 citations), Computer Vision and Pattern Recognition (77 citations) and Artificial Intelligence (110 citations). Yujia Huo has collaborated with scholars based in China, Italy and Macao. Frequent co-authors include Giambattista Gruosso, Lionel M. Ni, Derek F. Wong, Lidia S. Chao, Yilin Zhou, Xirong Li, Jianfeng Dong, Weiyu Lan, Cees G. M. Snoek and Xisheng Feng. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy and Fuel.

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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