Chao Yao

63 total papers · 657 total citations
31 papers, 395 citations indexed

About

Chao Yao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Chao Yao has authored 31 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Chao Yao's work include Face and Expression Recognition (6 papers), Remote-Sensing Image Classification (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Chao Yao is often cited by papers focused on Face and Expression Recognition (6 papers), Remote-Sensing Image Classification (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Chao Yao collaborates with scholars based in China, United States and United Kingdom. Chao Yao's co-authors include Junwei Han, Sushil Jajodia, Jungong Han, Zhaoyang Lu, Ya‐Feng Liu, Bo Jiang, Jing Li, Yang Liu, Gong Cheng and Zehua Guo and has published in prestigious journals such as IEEE Transactions on Image Processing, Remote Sensing and Neurocomputing.

In The Last Decade

Chao Yao

25 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Chao Yao	194	178	64	63	37	31	395
Yue Yang	146 0.8×	129 0.7×	32 0.5×	69 1.1×	25 0.7×	40	440
Jun Hou	179 0.9×	202 1.1×	51 0.8×	133 2.1×	16 0.4×	43	446
Junjie Liu	148 0.8×	191 1.1×	25 0.4×	37 0.6×	16 0.4×	43	407
Xiaobo Wang	226 1.2×	179 1.0×	51 0.8×	34 0.5×	9 0.2×	20	385
Xiang Fang	249 1.3×	159 0.9×	26 0.4×	25 0.4×	23 0.6×	24	407
Aziz Alotaibi	164 0.8×	102 0.6×	30 0.5×	81 1.3×	22 0.6×	34	421
Jian Cao	205 1.1×	165 0.9×	40 0.6×	35 0.6×	7 0.2×	42	401
Jian Zheng	227 1.2×	209 1.2×	13 0.2×	43 0.7×	19 0.5×	45	381
Shailendra Tiwari	149 0.8×	129 0.7×	35 0.5×	26 0.4×	13 0.4×	37	381
Ali Alqahtani	125 0.6×	152 0.9×	28 0.4×	21 0.3×	22 0.6×	35	414

Countries citing papers authored by Chao Yao

Since Specialization

Citations

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

Fields of papers citing papers by Chao Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Yao

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