Bing Zhao

106 total papers · 1.1k total citations
69 papers, 781 citations indexed

About

Bing Zhao is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bing Zhao has authored 69 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bing Zhao's work include Natural Language Processing Techniques (27 papers), Topic Modeling (26 papers) and Speech Recognition and Synthesis (6 papers). Bing Zhao is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (26 papers) and Speech Recognition and Synthesis (6 papers). Bing Zhao collaborates with scholars based in United States, China and Taiwan. Bing Zhao's co-authors include Stephan Vogel, Eric P. Xing, Matthias Eck, Alex Waibel, Yaser Al-Onaizan, Ashish Venugopal, Haitao Liao, Xiaohong Zhang, Hieu Nguyen and Fei Huang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Hydrology and IEEE Access.

In The Last Decade

Bing Zhao

67 papers receiving 681 citations

Author Peers

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

Author Last Decade Papers Cites
Bing Zhao 501 92 66 53 52 69 781
Boris Kovalerchuk 343 0.7× 131 1.4× 43 0.7× 78 1.5× 91 1.8× 98 762
Sanjiban Sekhar Roy 188 0.4× 115 1.3× 89 1.3× 39 0.7× 61 1.2× 57 851
Roselina Sallehuddin 265 0.5× 68 0.7× 34 0.5× 19 0.4× 47 0.9× 69 806
Ashima Singh 227 0.5× 130 1.4× 106 1.6× 28 0.5× 60 1.2× 57 771
Wenzhe Li 254 0.5× 54 0.6× 43 0.7× 66 1.2× 39 0.8× 52 744
Marek Sikora 279 0.6× 31 0.3× 80 1.2× 42 0.8× 135 2.6× 79 677
Jie Zhao 289 0.6× 67 0.7× 28 0.4× 20 0.4× 73 1.4× 58 621
Hong Qian 265 0.5× 48 0.5× 57 0.9× 39 0.7× 40 0.8× 51 787
Carlos J. Mantas 511 1.0× 67 0.7× 26 0.4× 36 0.7× 137 2.6× 35 792
Şeyda Ertekin 544 1.1× 133 1.4× 45 0.7× 19 0.4× 78 1.5× 32 903

Countries citing papers authored by Bing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Bing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Zhao

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