Yahong Hu

407 citations
30 papers · 235 · h-index 8

Impact in

Papers in

Yahong Hu

27 papers receiving 224 citations

Peers

Yahong Hu
Comparison fields: 5 of 53
  • Industrial and Manufacturing Engineering 106
  • Building and Construction 47
  • Microbiology 19
  • Oral Surgery 18
  • Computer Vision and Pattern Recognition 56
Replace Agnė Paulauskaitė-Tarasevičienė with:
Agnė Paulauskaitė-Tarasevičienė Lithuania
Paula Verde Spain
Ines Khoufi France
Hiroaki Chiyokura Japan
Daniel Schermer Germany
Jinkun Lee United States
Rajiv Verma India
Thomas R. Kramer United States
Yoshiyuki Karuno Japan
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Citations per field
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Agnė Paulauskaitė-Tarasevičienė · 1×
Citations per year

Countries citing papers authored by Yahong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yahong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200487
2 201818
3 201517
4 202413
5 199813
6 20209
7 20098
8 20257
9 20237
10 20047
11 20047
12 20115
13 20045
14 20085
15 20235
16 20193
17 20183
18 20033
19 20242
20 20232

About Yahong Hu

Yahong Hu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 30 papers that have together received 235 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (4 papers), Dental Radiography and Imaging (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Bacterial Infections and Vaccines (3 papers), Urban and Freight Transport Logistics (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (106 citations), Building and Construction (47 citations), Microbiology (19 citations), Oral Surgery (18 citations) and Computer Vision and Pattern Recognition (56 citations). Yahong Hu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Tiancheng Song, Chuan‐Yu Chen, Jiafa Mao, Wen-Jing Hsu, Shell Ying Huang, Weiguo Sheng, Gang Xiao, Kaihui Wang, Zhiguo Qu and Qixin Feng. Their work appears in journals such as Systems Science & Control Engineering, Neurocomputing, Emerging Microbes & Infections, Advanced Engineering Informatics and Applied Sciences.

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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