Yihao Huang

1.5k total citations
64 papers, 688 citations indexed

About

Yihao Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Yihao Huang has authored 64 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 13 papers in Molecular Biology. Recurrent topics in Yihao Huang's work include Adversarial Robustness in Machine Learning (10 papers), Digital Media Forensic Detection (10 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Yihao Huang is often cited by papers focused on Adversarial Robustness in Machine Learning (10 papers), Digital Media Forensic Detection (10 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Yihao Huang collaborates with scholars based in China, United States and Singapore. Yihao Huang's co-authors include Felix Juefei-Xu, Qing Guo, Yang Liu, Lei Ma, Run Wang, Geguang Pu, Xiaofei Xie, Sen‐Yeu Yang, Lu‐Sheng Hsieh and Chao-Sung Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of The Electrochemical Society and Food Chemistry.

In The Last Decade

Yihao Huang

55 papers receiving 670 citations

Peers

Yihao Huang
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 284
  • Artificial Intelligence 199
  • Signal Processing 73
  • Molecular Biology 63
  • Biomaterials 59
Replace Zihao Xiao with:
Zihao Xiao China
Xingzheng Wang China
Lingling An China
Anqi Wu China
Wenjing Li China
Rongchun Li China
Matteo Bustreo Italy
Monisha Chakraborty India
Zihao Xiao China View profile →
Citations per field, relative to Yihao Huang
Yihao Huang · 1×
Citations per year, relative to Yihao Huang
Yihao Huang · 1×

Countries citing papers authored by Yihao Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yihao Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihao Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yihao Huang. A scholar is included among the top collaborators of Yihao Huang 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 Yihao Huang. Yihao Huang 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
# Work Indexed citations
1 0
2 0
3 2
4 2
5 9
6 0
7 2
8 4
9 6
10 3
11 6
12 7
13 10
14 1
15 58
16 5
17 105
18 14
19 13
20 15

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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