Yihao Feng

65 total papers · 555 total citations
19 papers, 179 citations indexed

About

Yihao Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yihao Feng has authored 19 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Yihao Feng's work include Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Plant nutrient uptake and metabolism (2 papers). Yihao Feng is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Plant nutrient uptake and metabolism (2 papers). Yihao Feng collaborates with scholars based in United States, China and Singapore. Yihao Feng's co-authors include Andrew B. Whinston, Wenpeng Yin, Congying Xia, Philip S. Yu, Caiming Xiong, Shikun Zhang, Tongzheng Ren, Dengyong Zhou, Zhanhong Li and Yi Mao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Applied Catalysis A General.

In The Last Decade

Yihao Feng

15 papers receiving 174 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yihao Feng 66 33 32 26 24 19 179
Mikko Laukkanen 44 0.7× 21 0.6× 29 0.9× 50 1.9× 14 0.6× 21 196
Samantha Kanza 25 0.4× 9 0.3× 15 0.5× 13 0.5× 8 0.3× 15 208
Huilin Chen 95 1.4× 72 2.2× 29 0.9× 36 1.4× 6 0.3× 19 275
Ningning Liu 55 0.8× 62 1.9× 8 0.3× 19 0.7× 110 4.6× 25 265
Amita Kapoor 55 0.8× 29 0.9× 51 1.6× 8 0.3× 9 0.4× 24 233
Zonglin Li 33 0.5× 33 1.0× 41 1.3× 36 1.4× 13 0.5× 35 213
Marcelo Rudek 19 0.3× 61 1.8× 11 0.3× 45 1.7× 30 1.3× 22 179
Monika Sethi 23 0.3× 17 0.5× 65 2.0× 65 2.5× 8 0.3× 25 200
Neha Soni 55 0.8× 44 1.3× 48 1.5× 8 0.3× 8 0.3× 14 219
Oliver Raabe 35 0.5× 35 1.1× 15 0.5× 15 0.6× 7 0.3× 30 199

Countries citing papers authored by Yihao Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yihao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihao Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yihao Feng. A scholar is included among the top collaborators of Yihao Feng 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 Feng. Yihao Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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