Di Yao

84 total papers · 1.7k total citations
55 papers, 1.1k citations indexed

About

Di Yao is a scholar working on Artificial Intelligence, Transportation and Signal Processing. According to data from OpenAlex, Di Yao has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Transportation and 15 papers in Signal Processing. Recurrent topics in Di Yao's work include Data Management and Algorithms (10 papers), Anomaly Detection Techniques and Applications (10 papers) and Transportation Planning and Optimization (9 papers). Di Yao is often cited by papers focused on Data Management and Algorithms (10 papers), Anomaly Detection Techniques and Applications (10 papers) and Transportation Planning and Optimization (9 papers). Di Yao collaborates with scholars based in China, United States and Singapore. Di Yao's co-authors include Jingping Bi, Chao Zhang, Jianhui Huang, Gao Cong, Jinpei Li, Jianhui Huang, Liqun Xu, Zhihua Zhu, Xinxin Fan and Peng Han and has published in prestigious journals such as Chemical Physics Letters, IEEE Access and ACM Computing Surveys.

In The Last Decade

Di Yao

52 papers receiving 1.1k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Di Yao 387 371 354 206 157 55 1.1k
Xike Xie 305 0.8× 389 1.0× 219 0.6× 150 0.7× 209 1.3× 74 1.0k
Peng Han 357 0.9× 232 0.6× 254 0.7× 181 0.9× 139 0.9× 52 965
Qiang Gao 215 0.6× 201 0.5× 355 1.0× 128 0.6× 142 0.9× 97 1.1k
Hsun-Ping Hsieh 220 0.6× 164 0.4× 439 1.2× 95 0.5× 175 1.1× 62 1.3k
Renhe Jiang 312 0.8× 322 0.9× 537 1.5× 130 0.6× 656 4.2× 86 1.2k
Jun Luo 225 0.6× 420 1.1× 401 1.1× 150 0.7× 249 1.6× 69 1.1k
Josh Jia-Ching Ying 195 0.5× 370 1.0× 496 1.4× 138 0.7× 105 0.7× 48 929
Bolong Zheng 584 1.5× 587 1.6× 272 0.8× 245 1.2× 139 0.9× 87 1.5k
Roberto Trasarti 163 0.4× 486 1.3× 834 2.4× 115 0.6× 226 1.4× 47 1.2k
José Antônio Fernandes de Macêdo 303 0.8× 739 2.0× 618 1.7× 157 0.8× 144 0.9× 110 1.4k

Countries citing papers authored by Di Yao

Since Specialization
Citations

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

Fields of papers citing papers by Di Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Yao

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