Yushi Hu

30 papers receiving 387 citations

Peers

Yushi Hu
Comparison fields: 5 of 96
  • Bioengineering 54
  • Computer Vision and Pattern Recognition 59
  • Biomedical Engineering 114
  • Ecology, Evolution, Behavior and Systematics 45
  • Health Informatics 3
Replace Sohail Chatoor with:
Sohail Chatoor Netherlands
Anup Dey India
Danny Kowerko Germany
Terrance Frederick Fernandez India
Po-Hsuan Chen Taiwan
Quoc-Hung Phan Taiwan
Masato Futagawa Japan
Liyuan Gu China
Missael Garcia United States
Yushi Hu relative to Sohail Chatoor Netherlands Sohail Chatoor's profile →
Citations per field
00.5×10.5×
Sohail Chatoor · 1×
Citations per year

Countries citing papers authored by Yushi Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yushi Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202358
2 201342
3 202138
4 201135
5 202335
6 201327
7 201524
8 200822
9 202321
10 201219
11 199515
12
Comparative anatomy of conifer leaves
198213
13 202010
14 20098
15
On the Comparative Morphology and Systematic Position of Cathaya (Pinaceae)
19766
16 20245
17 19964
18
Female Cone Development in Fokienia , Cupressus , Chamaecyparis and Juniperus (Cupressaceae)
20043
19 20213
20
Pollen morphology of Gymnadenia R. Br. (Orchidaceae) and its taxonomic significance
20002

About Yushi Hu

Yushi Hu is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Artificial Intelligence, Ecology, Evolution, Behavior and Systematics and Bioengineering, having authored 33 papers that have together received 405 indexed citations. Recurring topics across this work include Plant and animal studies (6 papers), Analytical Chemistry and Sensors (5 papers), Plant and Fungal Species Descriptions (4 papers), Multimodal Machine Learning Applications (4 papers), Topic Modeling (4 papers), Advanced Chemical Sensor Technologies (3 papers), Plant Diversity and Evolution (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Bioengineering (54 citations), Computer Vision and Pattern Recognition (59 citations), Biomedical Engineering (114 citations), Ecology, Evolution, Behavior and Systematics (45 citations) and Health Informatics (3 citations). Yushi Hu has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Minhee Yun, Jiyong Huang, Noah A. Smith, Hyunjoong Lee, Suhwan Kim, Jungo Kasai, Yizhong Wang, Mari Ostendorf, David Perello and Xiliang Luo. Their work appears in journals such as Journal of Systematics and Evolution, Energies, Sensors and Actuators B Chemical, Journal of Biomedical Nanotechnology and Biosensors and Bioelectronics.

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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