Yi Hong

167 total papers · 1.8k total citations
102 papers, 1.1k citations indexed

About

Yi Hong is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yi Hong has authored 102 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 22 papers in Control and Systems Engineering and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yi Hong's work include Metaheuristic Optimization Algorithms Research (10 papers), Image Retrieval and Classification Techniques (7 papers) and Morphological variations and asymmetry (7 papers). Yi Hong is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Image Retrieval and Classification Techniques (7 papers) and Morphological variations and asymmetry (7 papers). Yi Hong collaborates with scholars based in China, United States and Hong Kong. Yi Hong's co-authors include Sam Kwong, Zhongjie Lu, Yuchou Chang, Qingsheng Ren, Gangyi Hu, Yinghui Li, Kun Xie, Hongdong Wang, Lifang Wang and Jianchao Zeng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Ophthalmology.

In The Last Decade

Yi Hong

88 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Yi Hong 315 231 144 140 130 102 1.1k
Zhijun Chen 201 0.6× 243 1.1× 211 1.5× 58 0.4× 183 1.4× 101 1.4k
Ye Zhang 160 0.5× 151 0.7× 59 0.4× 186 1.3× 219 1.7× 103 1.4k
Weichao Xu 238 0.8× 132 0.6× 34 0.2× 156 1.1× 111 0.9× 84 1.5k
Yu Lu 192 0.6× 211 0.9× 173 1.2× 143 1.0× 38 0.3× 86 1.2k
Orhan Yaman 222 0.7× 157 0.7× 32 0.2× 134 1.0× 203 1.6× 74 1.2k
Hang Lei 369 1.2× 150 0.6× 55 0.4× 63 0.5× 87 0.7× 68 1.3k
Rupesh Gupta 241 0.8× 227 1.0× 52 0.4× 156 1.1× 46 0.4× 206 1.3k
Hongjun Wang 314 1.0× 354 1.5× 65 0.5× 215 1.5× 88 0.7× 91 1.4k
Minglei Shu 275 0.9× 235 1.0× 53 0.4× 48 0.3× 103 0.8× 112 1.3k
D.A. Karras 422 1.3× 622 2.7× 21 0.1× 144 1.0× 80 0.6× 160 1.5k

Countries citing papers authored by Yi Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yi Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Hong. A scholar is included among the top collaborators of Yi Hong 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 Yi Hong. Yi Hong 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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