Yali Dong

9 total papers · 441 total citations
9 papers, 303 citations indexed

About

Yali Dong is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials and Neurology. According to data from OpenAlex, Yali Dong has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Mechanics of Materials and 2 papers in Neurology. Recurrent topics in Yali Dong's work include Optical measurement and interference techniques (5 papers), Thermography and Photoacoustic Techniques (3 papers) and Brain Tumor Detection and Classification (2 papers). Yali Dong is often cited by papers focused on Optical measurement and interference techniques (5 papers), Thermography and Photoacoustic Techniques (3 papers) and Brain Tumor Detection and Classification (2 papers). Yali Dong collaborates with scholars based in China and Japan. Yali Dong's co-authors include Huiling Lu, Shi Qiu, Zaoli Yang, Tao Zhou, Yun Luo, Yutaka Kagawa, Hideki Kakisawa, Fuqian Yang, Shan Liu and Y. X. Luo and has published in prestigious journals such as Applied Soft Computing, Optics and Lasers in Engineering and Experimental Mechanics.

In The Last Decade

Yali Dong

9 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Yali Dong	134	114	78	30	27	9	303
Il Hyun Choi	170 1.3×	114 1.0×	23 0.3×	8 0.3×	94 3.5×	7	331
Shuo Li	126 0.9×	101 0.9×	125 1.6×	12 0.4×	7 0.3×	10	347
Oliver Spires	46 0.3×	60 0.5×	70 0.9×	60 2.0×	26 1.0×	14	307
Shi Gong	149 1.1×	56 0.5×	25 0.3×	8 0.3×	44 1.6×	8	282
Panagiotis Dimitrakopoulos	61 0.5×	148 1.3×	54 0.7×	18 0.6×	57 2.1×	10	347
Jin Zhu	59 0.4×	36 0.3×	132 1.7×	7 0.2×	13 0.5×	16	349
Kyungsu Lee	49 0.4×	57 0.5×	30 0.4×	6 0.2×	77 2.9×	24	298
Guangtai Ding	43 0.3×	45 0.4×	47 0.6×	146 4.9×	27 1.0×	17	344
Qiyuan Wang	110 0.8×	75 0.7×	164 2.1×	7 0.2×	31 1.1×	20	358
Danfeng Xie	117 0.9×	38 0.3×	57 0.7×	35 1.2×	13 0.5×	13	287

Countries citing papers authored by Yali Dong

Since Specialization

Citations

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

Fields of papers citing papers by Yali Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yali Dong

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